JSM 2011 Online Program

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Abstract Details

Activity Number: 279
Type: Invited
Date/Time: Tuesday, August 2, 2011 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics in Epidemiology
Abstract - #300306
Title: Analyzing Multivariate Longitudinal Data from Smoking Cessation Studies
Author(s): Joel A. Dubin*+ and Jesse D. Raffa
Companies: University of Waterloo and University of Waterloo
Address: , Waterloo, ON, , Canada
Keywords: abstinence success ; adverse events ; compliance ; dose-ranging ; pharmacotherapy ; smoothing
Abstract:

Since obtaining several longitudinal measures from smoking cessation studies is quite common (e.g., daily and/or weekly cigarette consumption / smoking status, daily/weekly alcohol use, daily/weekly adverse event experience, treatment compliance information, other time-varying covariates such as weight change, etc.), there is interest in analyzing these data collectively, without much loss of information. I will discuss different strategies for incorporating this data into the analysis of smoking cessation studies, using a smoking cessation pharmacotherapy trial as the primary example dataset. A key analysis issue is that not all the longitudinal measurements are observed on the same time points.


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