Longitudinal Data Analysis

Preface

Researchers do their best work and scientific progress proceeds most swiftly when state-of-the-art tools are available and used correctly. Often, researchers do not follow optimal practices when conducting analyses because they are not well informed about the latest developments or best-performing statistical tests. Statistical learning often ends for most researchers at the completion of graduate school. But new statistical developments occur at a sometimes rapid pace, and knowledge about existing statistical approaches is always expanding. We hope that this book will improve the practice of data analysis for research in aging, health, and the social sciences by at least limiting the knowledge gap between new developments and common ...