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Activity Number:
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213239
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Type:
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Professional Development
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Date/Time:
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Wednesday, August 3, 2016 : 8:00 AM to 9:45 AM
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Sponsor:
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ASA
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Abstract #321896
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Title:
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Joint Modeling of Longitudinal and Survival-Time Data in Stata (ADDED FEE)
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Author(s):
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Yulia Marchenko*
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Companies:
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StataCorp LP
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Keywords:
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Abstract:
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Joint modeling of longitudinal and survival-time data has been gaining more attention in recent years. Many studies collect both longitudinal and survival-time data. Longitudinal, panel, or repeated-measures data record data measured repeatedly at different time points. Survival-time or event history data record times to an event of interest such as death or onset of a disease. The longitudinal and survival-time outcomes are often related and should thus be analyzed jointly. Three types of joint analysis may be considered: 1) evaluation of the effects of time-dependent covariates on the survival time; 2) adjustment for informative dropout in the analysis of longitudinal data; and 3) joint assessment of the effects of baseline covariates on the two types of outcomes. This workshop will provide a brief introduction into the methodology and demonstrate how to perform these three types of joint analysis in Stata. No prior knowledge of Stata is required, but familiarity with survival and longitudinal analysis will prove useful.
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Authors who are presenting talks have a * after their name.
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