Introduction

M. Ataharul Islam () and Rafiqul I. Chowdhury
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M. Ataharul Islam: University of Dhaka, Institute of Statistical Research and Training (ISRT)
Rafiqul I. Chowdhury: University of Dhaka, Institute of Statistical Research and Training (ISRT)

Chapter Chapter 1 in Analysis of Repeated Measures Data, 2017, pp 1-7 from Springer

Abstract: Abstract This chapter introduces the contents of the book. The repeated measures data on the outcomes at different times observed longitudinally provide us with the scope for modeling correlated outcomes as functions of potential risk factors. Dependence in outcome variables may arise in various fields such as epidemiology, time series, environment, public health, economics, anthropology etc. In longitudinal studies we deal with outcomes from more than one time point on each subject under study. The problems associated with analysis of repeated measures date are discussed in this chapter. Data layouts of repeated measures are displayed. A brief review of the contents including generalized linear model, quasi-likelihood functions, marginal and conditional models, Markov models, joint models, generalized estimating equations, mixed models and multistate hazards modes are introduced.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-10-3794-8_1

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DOI: 10.1007/978-981-10-3794-8_1

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