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2 - Study design

Published online by Cambridge University Press:  05 May 2013

Jos W. R. Twisk
Affiliation:
Vrije Universiteit, Amsterdam
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Summary

Introduction

Epidemiological studies can be roughly divided into observational and experimental studies (Figure 2.1). Observational studies can be further divided into case-control studies and cohort studies. Case-control studies are never longitudinal, in the way that longitudinal studies were defined in Chapter 1. The outcome variable Y (a dichotomous outcome variable distinguishing “case” from “control”) is measured only once. Furthermore, case-control studies are always retrospective in design. The outcome variable Y is observed at a certain time-point, and the covariates are measured retrospectively.

In general, observational cohort studies can be divided into prospective, retrospective, and cross-sectional cohort studies. A prospective cohort study is the only cohort study that can be characterized as a longitudinal study. Prospective cohort studies are usually designed to analyze the longitudinal development of a certain characteristic over time. It is argued that this longitudinal development concerns growth processes. However, in studies investigating the elderly, the process of deterioration is the focus of the study, whereas in other developmental processes growth and deterioration can alternately follow each other. Moreover, in many epidemiological studies one is interested not only in the actual growth or deterioration over time, but also in the longitudinal relationship between several characteristics over time. Another important aspect of epidemiological observational prospective studies is that sometimes one is not really interested in growth or deterioration, but rather in the “stability” of a certain characteristic over time. In epidemiology this phenomenon is known as tracking (Twisk et al., 1994, 1997, 1998a, 1998b, 2000).

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Publisher: Cambridge University Press
Print publication year: 2013

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  • Study design
  • Jos W. R. Twisk, Vrije Universiteit, Amsterdam
  • Book: Applied Longitudinal Data Analysis for Epidemiology
  • Online publication: 05 May 2013
  • Chapter DOI: https://doi.org/10.1017/CBO9781139342834.003
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  • Study design
  • Jos W. R. Twisk, Vrije Universiteit, Amsterdam
  • Book: Applied Longitudinal Data Analysis for Epidemiology
  • Online publication: 05 May 2013
  • Chapter DOI: https://doi.org/10.1017/CBO9781139342834.003
Available formats
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  • Study design
  • Jos W. R. Twisk, Vrije Universiteit, Amsterdam
  • Book: Applied Longitudinal Data Analysis for Epidemiology
  • Online publication: 05 May 2013
  • Chapter DOI: https://doi.org/10.1017/CBO9781139342834.003
Available formats
×