Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates

Discover the insightful work of Jeffrey R. Wilson in his 2021 monograph, Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates. Published by Springer Nature Switzerland AG, this 166-page paperback serves as an essential resource for researchers and practitioners in the field of statistical analysis. This book delves into the complexities of modeling correlated response data and longitudinal data, specifically focusing on population-averaged models. Wilson highlights innovative methodologies developed by leading scholars, providing a comprehensive overview of current research topics. Whether you are a seasoned statistician or a student eager to expand your knowledge, this monograph is a valuable addition to your library. Enhance your understanding of time-dependent covariates and their applications in data analysis with this authoritative guide.