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Zhu Y, Greenfield TK, Ye Y, Williams E, Kerr WC. Life-course Accumulated Cannabis Use and Recent Cannabis-related Problems in the Washington Panel Survey. Addict Behav 2024; 152:107957. [PMID: 38277992 PMCID: PMC10923088 DOI: 10.1016/j.addbeh.2024.107957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 12/18/2023] [Accepted: 01/15/2024] [Indexed: 01/28/2024]
Abstract
BACKGROUND Previous studies have only investigated the short-term association of recent cannabis use with cannabis-related problems, without accounting for the onset, duration, and variations in frequency of use in the life-course. METHODS We obtained data from the Washington panel survey during 2014-2016. We constructed accumulated lifetime exposure to cannabis use, heavy drinking (5+ drinks on one occasion), and cigarette pack-years from age of onset based on a series of decades-based questions on cannabis use and heavy drinking, and tobacco use history. We used Generalized Estimating Equation with Poisson distribution to investigate the association between accumulated cannabis use and the past-6-month CUDIT score. We adjusted for accumulated heavy drinking and cigarette pack-years, substance co-use variables, demographics, and applied survey weights. RESULTS We found strong and statistically significant correlations for the lifetime measures across the four panel surveys, indicating that the life-course measures of cannabis use and heavy drinking were largely reliable. We found a statistically significant relationship between the lifetime accumulated exposure to cannabis and CUDIT. The results were robust to the inconsistencies in reported frequencies and onset age across panel surveys. CONCLUSIONS This study established the relationship between lifetime exposure to cannabis and cannabis-related problems in a representative sample of drinkers and marijuana users in Washington state. We have also provided test-retest validity and question details for the decades-based cannabis and heavy drinking measures to facilitate their use in future studies of cannabis and alcohol-related outcomes.
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Affiliation(s)
- Yachen Zhu
- Alcohol Research Group, Public Health Institute, CA, United States
| | | | - Yu Ye
- Alcohol Research Group, Public Health Institute, CA, United States
| | - Edwina Williams
- Alcohol Research Group, Public Health Institute, CA, United States
| | - William C Kerr
- Alcohol Research Group, Public Health Institute, CA, United States
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2
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Zhu Y, Ye Y, Greenfield TK, Kerr WC. Associations between simultaneous use of alcohol and cannabis and cannabis-related problems in 2014-2016: evidence from the Washington panel survey. J Cannabis Res 2024; 6:8. [PMID: 38396047 PMCID: PMC10893643 DOI: 10.1186/s42238-024-00217-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Accepted: 02/11/2024] [Indexed: 02/25/2024] Open
Abstract
BACKGROUND To address the research question of how simultaneous users of alcohol and cannabis differ from concurrent users in risk of cannabis use problems after the recreational marijuana legalization in Washington State. METHODS We used generalized estimating equations with a Poisson distribution to analyze the association between simultaneous use of alcohol and marijuana (SAM) and cannabis-related problems compared to concurrent use. The data is a longitudinal sample of drinkers and cannabis users (n = 257, 47% female) aged 18 years and older from Washington State in 2014-2016. We adjusted for survey weights to account for differential probability of selection and response rates. The primary outcome is the past-six-month CUDIT problem subscale (ranging from 0 to 28), which is the total score for seven CUDIT problem items, after excluding the three items that covered marijuana use frequency. Covariates include marijuana use frequency (daily/near daily use, regular use, or infrequent use), marijuana daily quantity, alcohol daily volume, panel survey cycle, medical marijuana recommendation, driving time to nearest marijuana outlet, age of marijuana use onset, and other demographics. RESULTS After adjusting for covariates, we found that compared to concurrent use, SAM was significantly positively associated with CUDIT problem subscale (IRR = 1.68, 95% CI: 1.25-2.27, p < 0.001); daily/near daily use of marijuana was strongly significantly associated with CUDIT problem subscale compared with infrequent use (IRR = 5.1, 2.71-9.57, p < 0.001) or regular use (IRR = 3.05, 1.91-4.85, p < 0.001). Secondary analyses using CUDIT total score as the outcome also showed a significant positive association with SAM compared to concurrent use (IRR = 1.17, 1.02-1.34, p < 0.05). CONCLUSIONS This study highlighted the importance of SAM, in addition to cannabis use frequency for predicting cannabis-related problems.
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Affiliation(s)
- Yachen Zhu
- Alcohol Research Group, Public Health Institute, Emeryville, CA, 94608, USA.
| | - Yu Ye
- Alcohol Research Group, Public Health Institute, Emeryville, CA, 94608, USA
| | | | - William C Kerr
- Alcohol Research Group, Public Health Institute, Emeryville, CA, 94608, USA
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3
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Ivanova MY, Hall A, Weinberger S, Buckingham SL, Copeland WE, Crockett P, Dainer-Best J, D'Alberto C, Dewey L, Foret D, Galano M, Goodrich L, Holly L, Lane N, Leahey M, Lerner M, Marsh J, McGinnis E, Paiva-Salisbury M, Shaw JS, Swift P, Tinker R, Hudziak JJ. The Vermont Family Based Approach in Primary Care Pediatrics: Effects on Children's and Parents' Emotional and Behavioral Problems and Parents' Health-Related Quality of Life. Child Psychiatry Hum Dev 2023; 54:1297-1308. [PMID: 35246775 PMCID: PMC9793330 DOI: 10.1007/s10578-022-01329-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/07/2022] [Indexed: 01/30/2023]
Abstract
This randomized controlled trial tested the Vermont Family Based Approach (VFBA) in primary care pediatrics. The VFBA is a model of healthcare delivery that shifts the focus from the individual to the family, emphasizes emotional and behavioral health, and uses evidence-based health promotion/prevention along with the treatment of emotional and behavioral problems. Participants were 81 families of 3-15-year-olds. For children, the VFBA was associated with greater reductions than the Control condition on the Child Behavior Checklist Emotionally Reactive, Withdrawn, Sleep Problems, Aggressive Behavior and Total Problems scales. For parents, the VFBA was associated with greater reductions than the Control condition on the Adult Self-Report Anxious/Depressed, Rule-Breaking Behavior, Internalizing Problems and Total Problems scales. The VFBA was also associated with greater improvement than the Control condition in the parents' health-related quality of life, as indicated by all scales of the Medical Outcomes Study Health Survey.
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Affiliation(s)
- Masha Y Ivanova
- Department of Psychiatry, University of Vermont, Burlington, VT, USA.
| | - Allison Hall
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | | | - Sara L Buckingham
- Department of Psychology, University of Alaska Anchorage, Anchorage, AK, USA
| | | | - Phoenix Crockett
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | | | | | - Lauren Dewey
- Department of Psychological Sciences, University of Vermont, Burlington, VT, USA
| | - DeShan Foret
- University of Alaska Fairbanks, Fairbanks, AK, USA
| | - Maria Galano
- Department of Psychological and Brain Sciences, University of Massachusetts at Amherst, Amherst, MA, USA
| | - Lisa Goodrich
- University of Vermont Medical Center, Burlington, VT, USA
| | - Lindsay Holly
- Department of Psychology, Marquette University, Milwaukee, WI, USA
| | - Nalini Lane
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - Maureen Leahey
- University of Vermont Medical Center, Burlington, VT, USA
| | - Mathew Lerner
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Jasmine Marsh
- University of Vermont Medical Center, Burlington, VT, USA
| | - Ellen McGinnis
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | | | - Judith S Shaw
- Department of Pediatrics, University of Vermont, Burlington, VT, USA
| | - Pamela Swift
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - Rebekah Tinker
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - James J Hudziak
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
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4
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Cruz NA, Melo OO, Martinez CA. A correlation structure for the analysis of Gaussian and non-Gaussian responses in crossover experimental designs with repeated measures. Stat Pap (Berl) 2023. [DOI: 10.1007/s00362-022-01391-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
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5
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Tesfaw LM, Workie DL, Dessie ZG. Discrepancies of recurrent birth intervals using longitudinal data analysis in Ethiopia: interim EDHS 2019. BMJ Open 2022; 12:e066739. [PMID: 36379657 PMCID: PMC9668039 DOI: 10.1136/bmjopen-2022-066739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
OBJECTIVE This study aimed to determine whether the birth interval changes differently over time among women in Ethiopia and whether the change depends on women, children and household characteristics measured at the last visit. METHODS Longitudinal study design was implemented based on the data obtained from the 2019 Ethiopia Mini Demographic and Health Survey consisting of a total of 3630 mothers. Generalised estimating equation and generalised linear mixed model were employed to estimate the effect of the determinants given the correlation between birth intervals within a mother is under consideration. RESULTS The majority of women were Muslims (48.1%) and come from rural areas (82.2%). About 77.2% of women at first birth were below 20 years old. A significant correlation (p value <0.0001) between the first and second birth intervals of mothers was observed. The estimated birth interval of women from the poorest household was 0.877 (e-0.1317) times the estimated birth intervals of women from the richest household. This indicates richest households were likely to have higher birth intervals as compared with the poorest households (95% CI e-0.1754=0.839 to e-0.088=0.916). CONCLUSION The birth intervals of over one-fifth of mothers were 1 year, less than the birth interval recommended by the WHO standard. It was also perceived that successive birth intervals are correlated. Mothers who have delivered female children had lower birth intervals than mothers who have delivered male children. As compared with the birth intervals of mothers from a household with higher economic status, the birth intervals of mothers from a household with lower economic status had lower birth intervals. In this study, significant effects of religion, contraceptive use, region, mothers' current age, education level and mothers' current marital status on birth intervals were also noted.
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Affiliation(s)
| | | | - Zelalem G Dessie
- Department of Statistics, Bahir Dar University, Bahir Dar, Ethiopia
- School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Durban, South Africa
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6
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Simeonov L, Peniket M, Das R. No-think, No drink? Assessing the ability of reconsolidation interference by intentional forgetting to suppress alcohol memories in hazardous drinkers. Behav Res Ther 2022; 152:104055. [DOI: 10.1016/j.brat.2022.104055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 01/25/2022] [Accepted: 02/04/2022] [Indexed: 11/02/2022]
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7
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Nethery RC, Chen JT, Krieger N, Waterman PD, Peterson E, Waller LA, Coull BA. Statistical implications of endogeneity induced by residential segregation in small-area modelling of health inequities. AM STAT 2022; 76:142-151. [PMID: 35531350 PMCID: PMC9070859 DOI: 10.1080/00031305.2021.2003245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Health inequities are assessed by health departments to identify social groups disproportionately burdened by disease and by academic researchers to understand how social, economic, and environmental inequities manifest as health inequities. To characterize inequities, group-specific small-area health data are often modeled using log-linear generalized linear models (GLM) or generalized linear mixed models (GLMM) with a random intercept. These approaches estimate the same marginal rate ratio comparing disease rates across groups under standard assumptions. Here we explore how residential segregation combined with social group differences in disease risk can lead to contradictory findings from the GLM and GLMM. We show that this occurs because small-area disease rate data collected under these conditions induce endogeneity in the GLMM due to correlation between the model's offset and random effect. This results in GLMM estimates that represent conditional rather than marginal associations. We refer to endogeneity arising from the offset, which to our knowledge has not been noted previously, as "offset endogeneity". We illustrate this phenomenon in simulated data and real premature mortality data, and we propose alternative modeling approaches to address it. We also introduce to a statistical audience the social epidemiologic terminology for framing health inequities, which enables responsible interpretation of results.
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Affiliation(s)
- Rachel C. Nethery
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA,Corresponding author 655 Huntington Ave, Building 2, 4th floor, Boston, MA 02215.
| | - Jarvis T. Chen
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Nancy Krieger
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Pamela D. Waterman
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Emily Peterson
- Department of Biostatistics and Bioinformatics, Emory Rollins School of Public Health, Atlanta, GA, USA
| | - Lance A. Waller
- Department of Biostatistics and Bioinformatics, Emory Rollins School of Public Health, Atlanta, GA, USA
| | - Brent A. Coull
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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8
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Kenny SJ, Critchley ML, Whittaker JL, Kodalore Vijayan VW, Emery CA. Association between pre-participation characteristics and risk of injury amongst pre-professional dancers. Phys Ther Sport 2021; 52:239-247. [PMID: 34653772 DOI: 10.1016/j.ptsp.2021.10.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 10/01/2021] [Accepted: 10/04/2021] [Indexed: 01/22/2023]
Abstract
STUDY DESIGN Prospective Cohort Study. BACKGROUND Few investigations utilize evidence-informed pre-participation evaluation, inclusive injury definitions, and prospective surveillance to identify risk factors for dance-related injuries. OBJECTIVE To evaluate pre-participation characteristics that may be associated with greater odds of dance-related musculoskeletal complaints in pre-professional dancers. METHODS Full-time pre-professional ballet [n = 85, 77 females, median (range) age 15-years (11-19)] and contemporary [n = 60, 58 females, 19-years (17-30)] dancers underwent pre-participation evaluation: baseline questionnaire, coping skills, body mass index, bone mineral density, ankle range-of-motion, active standing turnout, lumbopelvic control, and balance tests. Self-reported complaints (any physical problem making dance participation difficult, irrespective of medical attention or time-loss) were captured weekly via online questionnaires for one academic year. Self-reported musculoskeletal complaints were recorded weekly (yes/no). Potential risk factors were identified a-priori through systematic review. Associations between potential risk factors and musculoskeletal complaints were examined with generalized linear mixed method regression models. RESULTS Response rate was 99%, with 81% of dancers reporting at least one musculoskeletal complaint. Of 1521 complaints (19% first-time, 81% ongoing), the ankle (22%), knee (21%), and foot (12%) accounted for the majority. Injury history [odds ratio (OR) 7.37 (95% CI 3.41, 15.91)] and previous week's dance hours [OR 1.02 (1.01, 1.03)] were associated with dance-related musculoskeletal complaints. CONCLUSIONS Prevalence of musculoskeletal complaints amongst pre-professional dancers is high and associated with injury history and training volume. Further understanding of the relationship between training load and injury is needed, with particular consideration of the dynamic and recursive nature of dance injury etiology. LEVEL OF EVIDENCE Therapy / Prevention, Aetiology / Harm, level 2b.
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Affiliation(s)
- Sarah J Kenny
- Sport Injury Prevention Research Centre, Faculty of Kinesiology, University of Calgary, Calgary, AB, Canada; Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada; O'Brien Institute for Public Health, University of Calgary, Calgary, AB, Canada.
| | - Meghan L Critchley
- Sport Injury Prevention Research Centre, Faculty of Kinesiology, University of Calgary, Calgary, AB, Canada
| | - Jackie L Whittaker
- Department of Physical Therapy, Faculty of Medicine, The University of British Columbia, Vancouver, British Columbia, Canada; Arthritis Research Canada, Richmond, British Columbia, Canada
| | | | - Carolyn A Emery
- Sport Injury Prevention Research Centre, Faculty of Kinesiology, University of Calgary, Calgary, AB, Canada; Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada; O'Brien Institute for Public Health, University of Calgary, Calgary, AB, Canada; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada; Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
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9
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Pesowski ML, Ho V, Friedman O. Varieties of value: Children differentiate caring from liking. COGNITIVE DEVELOPMENT 2021. [DOI: 10.1016/j.cogdev.2021.101069] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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10
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Moeller S, Sridhar J, Martersteck A, Coventry C, Kuang A, Zhang H, Weintraub S, Mesulam MM, Rogalski E. Functional decline in the aphasic variant of Alzheimer's disease. Alzheimers Dement 2021; 17:1641-1648. [PMID: 33829622 DOI: 10.1002/alz.12331] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 01/29/2021] [Accepted: 02/18/2021] [Indexed: 11/11/2022]
Abstract
INTRODUCTION Primary progressive aphasia (PPA) is a clinical dementia syndrome associated with frontotemporal lobar degeneration (FTLD) or Alzheimer's disease (AD). Impairment in activities of daily living is essential for dementia diagnosis, yet less is known about the neuropathologic impact on functional decline in PPA, especially over time. METHODS Activities of Daily Living Questionnaire (ADLQ) ratings were compared by suspected underlying pathology between 17 PPAAβ+ and 11 PPAAβ- participants at 6-month intervals for 2 years using a linear mixed-effects model. A general linear model examined associations between functional decline and cortical thickness at baseline. RESULTS Groups did not differ in demographics or aphasia severity at baseline, yet overall and subdomain scores of the ADLQ were significantly worse for PPAAβ+ compared to PPAAβ- (P = .015) at each interval across 18 months. DISCUSSION Functional decline appears more pronounced and disrupts more aspects of life activities for individuals with non-semantic PPA with suspected AD versus non-AD neuropathology.
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Affiliation(s)
- Stacey Moeller
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Jaiashre Sridhar
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Adam Martersteck
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Christina Coventry
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Alan Kuang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Hui Zhang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Sandra Weintraub
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.,Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - M-Marsel Mesulam
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.,Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Emily Rogalski
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.,Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
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11
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Kang T, Gaskins J, Levy S, Datta S. A longitudinal Bayesian mixed effects model with hurdle Conway-Maxwell-Poisson distribution. Stat Med 2021; 40:1336-1356. [PMID: 33368533 PMCID: PMC9167575 DOI: 10.1002/sim.8844] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 09/29/2020] [Accepted: 11/21/2020] [Indexed: 11/06/2022]
Abstract
Dental caries (i.e., cavities) is one of the most common chronic childhood diseases and may continue to progress throughout a person's lifetime. The Iowa Fluoride Study (IFS) was designed to investigate the effects of various fluoride, dietary and nondietary factors on the progression of dental caries among a cohort of Iowa school children. We develop a mixed effects model to perform a comprehensive analysis of the longitudinal clustered data of IFS at ages 5, 9, 13, and 17. We combine a Bayesian hurdle framework with the Conway-Maxwell-Poisson regression model, which can account for both excessive zeros and various levels of dispersion. A hierarchical shrinkage prior distribution is used to share the temporal information for predictors in the fixed-effects model. The dependence among teeth of each individual child is modeled through a sparse covariance structure of the random effects across time. Moreover, we obtain the parameter estimates and credible intervals from a Gibbs sampler. Simulation studies are conducted to assess the accuracy and effectiveness of our statistical methodology. The results of this article provide novel tools to statistical practitioners and offer fresh insights to dental researchers on effects of various risk and protective factors on caries progression.
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Affiliation(s)
- Tong Kang
- Department of Biostatistics, University of Florida, Gainesville, Florida, USA
| | - Jeremy Gaskins
- Department of Bioinformatics and Biostatistics, University of Louisville, Louisville, Kentucky, USA
| | - Steven Levy
- Department of Preventive and Community Dentistry, University of Iowa, Iowa City, Iowa, USA
| | - Somnath Datta
- Department of Biostatistics, University of Florida, Gainesville, Florida, USA
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12
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Kruppa J, Hothorn L. A comparison study on modeling of clustered and overdispersed count data for multiple comparisons. J Appl Stat 2020; 48:3220-3232. [PMID: 35707260 PMCID: PMC9042126 DOI: 10.1080/02664763.2020.1788518] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
Data collected in various scientific fields are count data. One way to analyze such data is to compare the individual levels of the factor treatment using multiple comparisons. However, the measured individuals are often clustered - e.g. according to litter or rearing. This must be considered when estimating the parameters by a repeated measurement model. In addition, ignoring the overdispersion to which count data is prone leads to an increase of the type one error rate. We carry out simulation studies using several different data settings and compare different multiple contrast tests with parameter estimates from generalized estimation equations and generalized linear mixed models in order to observe coverage and rejection probabilities. We generate overdispersed, clustered count data in small samples as can be observed in many biological settings. We have found that the generalized estimation equations outperform generalized linear mixed models if the variance-sandwich estimator is correctly specified. Furthermore, generalized linear mixed models show problems with the convergence rate under certain data settings, but there are model implementations with lower implications exists. Finally, we use an example of genetic data to demonstrate the application of the multiple contrast test and the problems of ignoring strong overdispersion.
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Affiliation(s)
- Jochen Kruppa
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Biometry and Clinical Epidemiology, Berlin, Germany.,Berlin Institute of Health (BIH), Berlin, Germany
| | - Ludwig Hothorn
- Institute of Biostatistics, Leibniz University Hannover, Germany, Hannover, Germany
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13
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Zhang H, Tang L, Kong Y, Chen T, Liu X, Zhang Z, Zhang B. Distribution-free models for latent mixed population responses in a longitudinal setting with missing data. Stat Methods Med Res 2018; 28:3273-3285. [PMID: 30246608 DOI: 10.1177/0962280218801123] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Many biomedical and psychosocial studies involve population mixtures, which consist of multiple latent subpopulations. Because group membership cannot be observed, standard methods do not apply when differential treatment effects need to be studied across subgroups. We consider a two-group mixture in which membership of latent subgroups is determined by structural zeroes of a zero-inflated count variable and propose a new approach to model treatment differences between latent subgroups in a longitudinal setting. It has also been incorporated with the inverse probability weighted method to address data missingness. As the approach builds on the distribution-free functional response models, it requires no parametric distribution model and thereby provides a robust inference. We illustrate the approach with both real and simulated data.
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Affiliation(s)
- Hui Zhang
- Department of Biostatistics, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Li Tang
- Department of Biostatistics, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Yuanyuan Kong
- Liver Research Center, Beijing Key Laboratory of Translational Medicine in Liver Cirrhosis, National Clinical Research Center of Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Tian Chen
- Department of Mathematics and Statistics, University of Toledo, Toledo, OH, USA
| | - Xueyan Liu
- Department of Biostatistics, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Zhiwei Zhang
- Department of Statistics, University of California, Riverside, CA, USA
| | - Bo Zhang
- Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA
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14
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Affiliation(s)
- Bei Wang
- School of Mathematics and Statistics, Arizona State University, Tempe, AZ, USA
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15
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Liedtke J, Redekop D, Schneider JM, Schuett W. Early Environmental Conditions Shape Personality Types in a Jumping Spider. Front Ecol Evol 2015. [DOI: 10.3389/fevo.2015.00134] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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16
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Huang L, Tang L, Zhang B, Zhang Z, Zhang H. Comparison of different computational implementations on fitting generalized linear mixed-effects models for repeated count measures. J STAT COMPUT SIM 2015. [DOI: 10.1080/00949655.2015.1111376] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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17
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Tang W, Lu N, Chen T, Wang W, Gunzler DD, Han Y, Tu XM. On performance of parametric and distribution-free models for zero-inflated and over-dispersed count responses. Stat Med 2015; 34:3235-45. [PMID: 26078035 DOI: 10.1002/sim.6560] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2014] [Revised: 02/15/2015] [Accepted: 05/26/2015] [Indexed: 11/07/2022]
Abstract
Zero-inflated Poisson (ZIP) and negative binomial (ZINB) models are widely used to model zero-inflated count responses. These models extend the Poisson and negative binomial (NB) to address excessive zeros in the count response. By adding a degenerate distribution centered at 0 and interpreting it as describing a non-risk group in the population, the ZIP (ZINB) models a two-component population mixture. As in applications of Poisson and NB, the key difference between ZIP and ZINB is the allowance for overdispersion by the ZINB in its NB component in modeling the count response for the at-risk group. Overdispersion arising in practice too often does not follow the NB, and applications of ZINB to such data yield invalid inference. If sources of overdispersion are known, other parametric models may be used to directly model the overdispersion. Such models too are subject to assumed distributions. Further, this approach may not be applicable if information about the sources of overdispersion is unavailable. In this paper, we propose a distribution-free alternative and compare its performance with these popular parametric models as well as a moment-based approach proposed by Yu et al. [Statistics in Medicine 2013; 32: 2390-2405]. Like the generalized estimating equations, the proposed approach requires no elaborate distribution assumptions. Compared with the approach of Yu et al., it is more robust to overdispersed zero-inflated responses. We illustrate our approach with both simulated and real study data.
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Affiliation(s)
- Wan Tang
- Department of Biostatistics and Computational Biology, University of Rochester, Rochester, NY, U.S.A
| | - Naiji Lu
- Department of Management, Harbin Institute of Technology, Harbin, China
| | - Tian Chen
- Department of Biostatistics and Computational Biology, University of Rochester, Rochester, NY, U.S.A
| | - Wenjuan Wang
- Department of Biostatistics and Computational Biology, University of Rochester, Rochester, NY, U.S.A
| | - Douglas David Gunzler
- Center for Health Care Research & PolicyCase Western Reserve University, Cleveland, OH, U.S.A
| | - Yu Han
- Department of Biostatistics and Computational Biology, University of Rochester, Rochester, NY, U.S.A
| | - Xin M Tu
- Department of Biostatistics and Computational Biology, University of Rochester, Rochester, NY, U.S.A.,Department of PsychiatryUniversity of Rochester, Rochester, NY, U.S.A.,Center of Excellence for Suicide PreventionCanandaigua VA Medical Center, Canandaigua, NY, U.S.A
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Khatoon Z, Figler B, Zhang H, Cheng F. Introduction to RNA-Seq and its applications to drug discovery and development. Drug Dev Res 2015; 75:324-30. [PMID: 25160072 DOI: 10.1002/ddr.21215] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Preclinical Research RNA sequencing (RNA-Seq) is a novel high-throughput technology for comprehensive transcriptome study. It can measure the expression levels of thousands of genes simultaneously and provide insight into functional pathways and regulations in biological processes. In addition, RNA-Seq can provide copious information on alternative splicing, allele-specific expression, unannotated exons, and novel transcripts (gene or noncoding RNAs). This technology has revolutionized the way biologists examine transcriptomes and has been successfully applied in drug discovery and development, being able to identify drug-related genes, microRNAs, and fusion proteins. In this overview, we will review this technology including data analysis, and its recent applications in drug discovery and development.
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Affiliation(s)
- Zainab Khatoon
- Department of Pharmacodynamics, College of Pharmacy, University of Florida, Gainesville, FL, 32610-0484, USA
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19
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Lu N, Chen T, Wu P, Gunzler D, Zhang H, He H, Tu X. Functional response models for intraclass correlation coefficients. J Appl Stat 2014. [DOI: 10.1080/02664763.2014.920780] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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20
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Getachew Y, Janssen P, Yewhalaw D, Speybroeck N, Duchateau L. Coping with time and space in modelling malaria incidence: a comparison of survival and count regression models. Stat Med 2013; 32:3224-33. [PMID: 23417920 DOI: 10.1002/sim.5752] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2012] [Revised: 11/06/2012] [Accepted: 01/08/2013] [Indexed: 11/06/2022]
Abstract
To study the effect of a mega hydropower dam in southwest Ethiopia on malaria incidence, we have set up a longitudinal study. To gain insight in temporal and spatial aspects, that is, in time (period = year-season combination) and location (village), we need models that account for these effects. The frailty model with periodwise constant baseline hazard (a constant value for each period) and a frailty term that models the clustering in villages provides an appropriate tool for the analysis of such incidence data. Count data can be obtained by aggregating for each period events at the village level. The mixed Poisson regression model can be used to model the count data. We show the similarities between the two models. The risk factor in both models is the distance to the dam, and we study the effect of the risk factor on malaria incidence. In the frailty model, each subject has its own risk factor, whereas in the Poisson regression model, we also need to average the risk factors of all subjects contributing to a particular count. The power loss caused by using village averaged distance instead of individual distance is studied and quantified. The loss in the malaria data example is rather small. In such a setting, it might be advantageous to use less labor-intensive sampling schemes than the weekly individual follow-up scheme used in this study; the proposed alternative sampling schemes might also avoid community fatigue, a typical problem in such research projects.
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Affiliation(s)
- Yehenew Getachew
- Department of Horticulture and Plant Sciences, Jimma University, Jimma, Ethiopia
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21
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Yu Q, Chen R, Tang W, He H, Gallop R, Crits-Christoph P, Hu J, Tu XM. Distribution-free models for longitudinal count responses with overdispersion and structural zeros. Stat Med 2012; 32:2390-405. [PMID: 23239019 DOI: 10.1002/sim.5691] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2010] [Accepted: 10/31/2012] [Indexed: 11/10/2022]
Abstract
Overdispersion and structural zeros are two major manifestations of departure from the Poisson assumption when modeling count responses using Poisson log-linear regression. As noted in a large body of literature, ignoring such departures could yield bias and lead to wrong conclusions. Different approaches have been developed to tackle these two major problems. In this paper, we review available methods for dealing with overdispersion and structural zeros within a longitudinal data setting and propose a distribution-free modeling approach to address the limitations of these methods by utilizing a new class of functional response models. We illustrate our approach with both simulated and real study data.
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Affiliation(s)
- Q Yu
- Department of Biostatistics and Computational Biology, University of Rochester, 601 Elmwoord Ave, Rochester, NY 14642, USA.
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