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Activity Number:
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199
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, August 13, 2002 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Health Policy Statistics*
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| Abstract - #301999 |
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Title:
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Incorporating Death into the Statistical Analysis of Categorical Longitudinal Health Status Data
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Author(s):
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Laura Johnson*+
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Affiliation(s):
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University of Washington
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Address:
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Box 357232, Seattle, Washington, 98195-7232,
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Keywords:
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quality of life ; survival ; repeated measures
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Abstract:
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Health status information is collected in many clinical trials and observational studies. The information typically is longitudinal, and in studies involving the elderly or chronic diseases, a number of study participants may die while the study is still collecting information. Analyses need to use health status as the outcome and include patients until the time of their deaths while allowing the deaths to affect the statistical analysis. This methodological issue has been discussed in the statistical literature using several different ways of incorporating death into the analysis of longitudinal data. We jointly model survival and health status data while trying to ensure statistical accuracy and ease of interpretation. We believe this work has the potential to provide important information to investigators on ways to analyze trial data and, in turn, to provide better information on changes in health status to clinicians and patients.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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