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Wiener LE, Ivanova A, Koch GG. Methods for clarifying criteria for study continuation at interim analysis. Pharm Stat 2020; 19:720-732. [PMID: 32338443 DOI: 10.1002/pst.2027] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Revised: 02/28/2020] [Accepted: 04/05/2020] [Indexed: 11/10/2022]
Abstract
In monitoring clinical trials, the question of futility, or whether the data thus far suggest that the results at the final analysis are unlikely to be statistically successful, is regularly of interest over the course of a study. However, the opposite viewpoint of whether the study is sufficiently demonstrating proof of concept (POC) and should continue is a valuable consideration and ultimately should be addressed with high POC power so that a promising study is not prematurely terminated. Conditional power is often used to assess futility, and this article interconnects the ideas of assessing POC for the purpose of study continuation with conditional power, while highlighting the importance of the POC type I error and the POC type II error for study continuation or not at the interim analysis. Methods for analyzing subgroups motivate the interim analyses to maintain high POC power via an adjusted interim POC significance level criterion for study continuation or testing against an inferiority margin. Furthermore, two versions of conditional power based on the assumed effect size or the observed interim effect size are considered. Graphical displays illustrate the relationship of the POC type II error for premature study termination to the POC type I error for study continuation and the associated conditional power criteria.
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Affiliation(s)
- Laura E Wiener
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Anastasia Ivanova
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Gary G Koch
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
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Narang GL, Wiener LE, Penniston KL, Antonelli JA, Averch TD, Sivalingam S, Chew BH, Bird VG, Pais VM, Sur RL, Chi T, Streeper NM, Nakada SY, Koch GG, Viprakasit DP. The effect of travel distance on health-related quality of life for patients with nephrolithiasis. Can Urol Assoc J 2019; 14:99-104. [PMID: 31702546 DOI: 10.5489/cuaj.6090] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
INTRODUCTION Urolithiasis causes a significant impact on health-related quality of life (HRQOL). Patients with kidney stones have high levels of stress and anxiety. Symptom resolution often requires treatment. Travel distance is a barrier to care but little is known about its effects on HRQOL. We hypothesize that increased distance to treatment site is associated with decreased HRQOL. METHODS Patients with a history of stones were enrolled at 11 tertiary centers as part of the QOL Stone Consortium of North America. HRQOL data were obtained using the Wisconsin Stone Quality of Life questionnaire (WISQOL). We calculated distance between patient and treatment site using national ZIP codes. We used linear models to evaluate the effect of distance on HRQOL, while also considering demographics data, stones/symptom status, and distance. RESULTS Of the 1676 enrolled patients, 52% were male, 86% non-Latino White, and the mean age was 53 years. Mean distance to treatment site was 63.3 km (range 0-3774), with 74% reporting current stones and 45% current symptoms. WISQOL score and distance were negatively correlated for patients reporting current stones and symptoms (p=0.0010). Linear modelling revealed decreased WISQOL scores for patients with symptoms as distance increased from treatment site (p=0.0001), with a 4.7-point decrease for every 100 km traveled. CONCLUSIONS Stone disease imposes significant burden on patients' HRQOL due to a variety of factors. Patients with active stone symptoms report worse HRQOL with increased distance to their treatment site. Possible etiologies include travel burden, increased disease burden, decreased healthcare use, and delays in care.
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Affiliation(s)
- Gopal L Narang
- University of North Carolina School of Medicine, Chapel Hill, NC, United States
| | - Laura E Wiener
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, United States
| | - Kristina L Penniston
- University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
| | - Jodi A Antonelli
- University of Texas Southwestern Medical Center, Dallas, TX, United States
| | | | - Sri Sivalingam
- Glickman Urological & Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Ben H Chew
- University of British Columbia, Vancouver, BC, Canada
| | - Vincent G Bird
- University of Florida College of Medicine, Gainesville, FL, United States
| | - Vernon M Pais
- Geisel School of Medicine at Dartmouth, Hanover, NH, United States
| | - Roger L Sur
- University of California San Diego School of Medicine, San Diego, CA, United States
| | - Thomas Chi
- University of California San Francisco School of Medicine, San Francisco, CA, United States
| | - Necole M Streeper
- Penn State Health Milton S. Hershey Medical Center, Hershey, PA, United States
| | - Stephen Y Nakada
- University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
| | - Gary G Koch
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, United States
| | - Davis P Viprakasit
- University of North Carolina School of Medicine, Chapel Hill, NC, United States
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Wiener LE, Ivanova A, Li S, Silverman RK, Koch GG. Randomization-based analysis of covariance for inference in the sequential parallel comparison design. J Biopharm Stat 2019; 29:696-713. [DOI: 10.1080/10543406.2019.1633660] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Affiliation(s)
- Laura E. Wiener
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Anastasia Ivanova
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Siying Li
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Rachel K. Silverman
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Gary G. Koch
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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Parulekar AD, Martinez C, Tsai CL, Locantore N, Atik M, Yohannes AM, Kao CC, Al-Azzawi H, Mohsin A, Wise RA, Foreman MG, Demeo DL, Regan EA, Make BJ, Boriek AM, Wiener LE, Hanania NA. Examining the Effects of Age on Health Outcomes of Chronic Obstructive Pulmonary Disease: Results From the Genetic Epidemiology of Chronic Obstructive Pulmonary Disease Study and Evaluation of Chronic Obstructive Pulmonary Disease Longitudinally to Identify Predictive Surrogate Endpoints Cohorts. J Am Med Dir Assoc 2017; 18:1063-1068. [PMID: 29169736 PMCID: PMC5955393 DOI: 10.1016/j.jamda.2017.09.028] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2017] [Accepted: 09/29/2017] [Indexed: 12/26/2022]
Abstract
RATIONALE The prevalence of chronic obstructive pulmonary disease (COPD) and its associated comorbidities increase with age. However, little is understood about differences in the disease in patients over 65 years of age compared with younger patients. OBJECTIVES To determine disease characteristics of COPD and its impact in older patients compared with younger patients. METHODS We examined baseline characteristics of patients with COPD (global obstructive lung disease stage II-IV) in 2 large cohorts: Genetic Epidemiology of COPD Study (COPDGene) and Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints (ECLIPSE). We compared demographics, indices of disease severity, prevalence of comorbidities, exacerbation frequency, and quality of life scores in patients ≥65 years of age vs patients <65 years of age. We also tested for associations of age with disease characteristics and health outcomes. RESULTS In the COPDGene cohort, older patients (n = 1663) had more severe disease as measured by forced expiratory volume in 1 second (1.22 vs 1.52 L, P < .001), use of long-term oxygen therapy (35% vs 22%, P < .001), 6-minute walk distance (355 vs 375 m, P < .001), and radiographic evidence of emphysema (14% vs 8%, P < .001) and air trapping (47% vs 36%, P < .001) and were more likely to have comorbidities compared with younger patients (n = 2027). Similarly, in the ECLIPSE cohort, older patients (n = 1030) had lower forced expiratory volume in 1 second (1.22 vs 1.34 L, P < .001), greater use of long-term oxygen therapy (7% vs 5%, P = .02), shorter 6- minute walk distance (360 vs 389 m, P < .001), and more radiographic evidence of emphysema (17% vs 14%, P = .009) than younger patients (n = 1131). In adjusted analyses of both cohorts, older age was associated with decreased frequency of exacerbations [odds ratio = 0.52, 95% confidence interval (CI) = 0.43-0.64 in COPDGene, odds ratio = 0.79, 95% CI = 0.64-0.99 in ECLIPSE] and a better quality of life (lower St. Georges respiratory questionnaire score) (β = -8.7, 95% CI = -10.0 to -7.4 in COPDGene, β = -4.4, 95% CI = -6.1 to -3.2 in ECLIPSE). CONCLUSIONS Despite greater severity of illness, older patients with COPD had better quality of life and reported fewer exacerbations than younger patients. Although this observation needs to be explored further, it may be related to the fact that older patients change their expectations and learn to adapt to their disease.
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Affiliation(s)
- Amit D Parulekar
- Section of Pulmonary, Critical Care, and Sleep, Baylor College of Medicine, Houston, TX
| | | | - Chu-Lin Tsai
- Department of Emergency Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | | | - Mustafa Atik
- Section of Pulmonary, Critical Care, and Sleep, Baylor College of Medicine, Houston, TX
| | - Abebaw M Yohannes
- Department of Physical Therapy, Azusa Pacific University, Azusa, CA.
| | - Christina C Kao
- Section of Pulmonary, Critical Care, and Sleep, Baylor College of Medicine, Houston, TX
| | - Hassan Al-Azzawi
- Section of Pulmonary, Critical Care, and Sleep, Baylor College of Medicine, Houston, TX
| | - Ali Mohsin
- Section of Pulmonary, Critical Care, and Sleep, Baylor College of Medicine, Houston, TX
| | | | - Marilyn G Foreman
- Pulmonary and Critical Care Medicine Division, Morehouse School of Medicine, Atlanta, GA
| | - Dawn L Demeo
- Channing Division of Network Medicine and Pulmonary and Critical Care Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | | | - Barry J Make
- Department of Medicine, National Jewish Health, Denver, CO
| | - Aladin M Boriek
- Section of Pulmonary, Critical Care, and Sleep, Baylor College of Medicine, Houston, TX
| | - Laura E Wiener
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Nicola A Hanania
- Section of Pulmonary, Critical Care, and Sleep, Baylor College of Medicine, Houston, TX
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Piccini JP, Pritchett EL, Davison BA, Cotter G, Wiener LE, Koch G, Feld G, Waldo A, van Gelder IC, Camm AJ, Kowey PR, Iwashita J, Dittrich HC. Randomized, double-blind, placebo-controlled study to evaluate the safety and efficacy of a single oral dose of vanoxerine for the conversion of subjects with recent onset atrial fibrillation or flutter to normal sinus rhythm: RESTORE SR. Heart Rhythm 2016; 13:1777-83. [DOI: 10.1016/j.hrthm.2016.04.012] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2016] [Indexed: 11/15/2022]
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