De vuelta a la clínica: sin justificación no existe pregunta de investigación que valga

[List of Ethical Principles for Medical Research Involving Human Subjects]

The ethical principles of a research proposal are not contained only in a paragraph or in the informed consent form; actually, they are an essential part of the whole protocol from the beginning to the end. In a complementary manner to the regulatory and educative documents, our objective in this article is to propose a checklist of questions so researches can ensure they have included the necessary information and precautions to meet the ethical considerations that are required for every research with human beings, which shall be called List of Ethical Principles for Medical Research Involving Human Subjects. We propose questions that researchers must ask themselves when they compose the background, justification, objectives, research question, hypothesis, selection criteria, sample size calculation, sampling, research design, statistical analysis plan, ethical aspects, publication plan, and references.

[Correlation: not all correlation entails causality]

The concept of correlation entails having a couple of observations (X and Y), that is to say, the value that Y acquires for a determined value of X; the correlation makes it possible to examine the trend of two variables to be grouped together. We know that, with increasing age, blood pressure figures also increase, therefore, if we want to answer a research question like "what is the connection between age and blood pressure?" the relevant statistical test is a correlation test. This test makes it possible to quantify the magnitude of the correlation between two variables, but it is also helpful for predicting values. If these variables had a perfect correlation, the value of the variable Y could be deduced by knowing the value of X. Because of these advantages, the correlation is one of the most frequently used tests in the clinical setting since, in addition to measuring the direction and magnitude of the association of two variables, it is one of the foundations for prediction models, such as linear regression model, logistic regression model and Cox proportional hazards model.