Assessing Within- and Between-Individual Effects Using Correlated Data From an HIV Clinical Trial


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Source: SAS Institute
Date: January 2008
Type: White Paper
Rating: (0)

Overview: This paper published by SAS Institute talks about the various statistical methods that can be used to analyze correlated data from a clinical study. At baseline of the EXPLORE study, a multi-site, randomized HIV prevention clinical trial conducted in the USA, data was collected from Men who have Sex with Men (MSM) regarding their most recent sexual episode with up to three of their most recent partners. The company were interested in the relationship between substance use and risky sexual behavior. The data allowed the company to examine both within-individual effects and between-individual effects.

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