Estimating a treatment effect from multidimensional longitudinal data.
Journal - Biometrics (UNITED STATES )
Multidimensional longitudinal data result when researchers measure an outcome through time that is quantified by many different response variables. These response variables are often defined on different numerical scales. The objective of this paper is to present a method to summarize and estimate an overall treatment effect from this type of longitudinal data. A regression model is proposed that assumes the treatment effect can be parameterized as an acceleration or deceleration of the time scale of each response variable's trajectory. Generalized estimating equations are used to estimate the model parameters. Cognitive and functional ability data from Alzheimer's disease patients and quality of life data from an AIDS clinical trial are used to illustrate the model.
|ISSN : ||0006-341X|
|Mesh Heading : ||Acquired Immunodeficiency Syndrome Alleles Alzheimer Disease Apolipoproteins E Biometry Clinical Trials as Topic Cognition Humans Models, Statistical Quality of Life Regression Analysis psychology therapy genetics physiopathology psychology genetics statistics & numerical data|
|Mesh Heading Relevant : ||Data Interpretation, Statistical Longitudinal Studies Treatment Outcome methods|