附註:Includes bibliographical references (pages 286-294) and index.
Cover; Half-title; Title; Copyright; Dedication; Contents; Preface; Acknowledgements; 1 Introduction; 2 Study design; 3 Continuous outcome variables; 4 Continuous outcome variables -- relationships with other variables; 5 Other possibilities for modelling longitudinal data; 6 Dichotomous outcome variables; 7 Categorical and 'count' outcome variables; 8 Longitudinal studies with two measurements: the definition and analysis of change; 9 Analysis of experimental studies; 10 Missing data in longitudinal studies; 11 Tracking; 12 Software for longitudinal data analysis; 13 Sample size calculations.
摘要:In this book the most important techniques available for longitudinal data analysis are discussed, including simple techniques such as the paired t-test and summary statistics, and more sophisticated techniques such as generalised estimating equations and random coefficient analysis. This practical guide is suitable for non-statisticians involved in medical research and epidemiology.
