Author:

Keywords:

Science & Technology, Physical Sciences, Statistics & Probability, Mathematics, Binary data, Intraclass correlation, Random effects, Reliability, Variances, NEGATIVE SYNDROME SCALE, CLINICAL-TRIAL DATA, PARALLEL-GROUP, DOUBLE-BLIND, RELIABILITY, SCHIZOPHRENIA, RISPERIDONE, VALIDITY, PANSS, 01 Mathematical Sciences, 08 Information and Computing Sciences, 46 Information and computing sciences, 49 Mathematical sciences

Abstract:

This work aims at investigating marginal correlation within and between longitudinal data sequences. Useful and intuitive approximate expressions are derived based on generalized linear mixed models. Data from four double-blind randomized clinical trials are used to estimate the intra-class coefficient of reliability for a binary response. Additionally, the correlation between such a binary response and a continuous response is derived to evaluate the criterion validity of the binary response variable and the established continuous response variable. Copyright © Taylor & Francis Group, LLC.