Core Guide: Longitudinal Data Analysis - Duke University

Core guide : Longitudinal Data Analysis 1 | P a g e Core guide : Longitudinal Data Analysis Part of a series addressing common issues in statistical and epidemiological design and Analysis Background In contrast to cross-sectional data, which are collected at a single time point, Longitudinal data are collected at multiple time points on the same individuals over time. These so called repeated measures data may be related to an exposure, or an outcome/event, or both. The primary benefit of collecting Longitudinal data is the ability to prospectively record the health outcome, as well as to measure an exposure that may be associated with this outcome. Longitudinal studies are generally considered superior to cross-sectional studies in validly estimating risk; and prospectively measuring an exposure will reduce the possibility of misclassification of this exposure that frequently occurs in retrospective studies. Furthermore, Longitudinal data allow for measurement of changes in outcomes over time within a single unit of Analysis ( , an individual), and can tease apart different types of time-dependent effects; namely Age, Period and Cohort effects.

Oct 05, 2017 · for our study participants at t=1, had they remained unexposed to the intervention. In this design, we answer our above key questions in the following way: No. Question (Yes/No) 1a Is there a control group in the study – i.e., participants who were not exposed to the intervention? No

Loading..

Tags:

  Guide, Study, Interventions, Answers

Information

Related search queries