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Activity Number:
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470
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Type:
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Contributed
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Date/Time:
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Wednesday, August 1, 2007 : 2:00 PM to 3:50 PM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #309443 |
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Title:
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Binary Clinical Trials Data Analysis Using Pairwise Likelihood
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Author(s):
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Juanmei Liu*+ and Peter M. Bentler
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Companies:
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University of California, Los Angeles and University of California, Los Angeles
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Address:
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3265 S Sepulveda Blvd, Los Angeles, CA, 90034,
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Keywords:
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SEM ; polychoric correlation ; polyserial correlation
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Abstract:
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This paper develops the statistical theory for a new multistage ordinal methodology for structural equation modeling, based on a recently developed maximum pairwise likelihood method. Unlike earlier methods, the maximum pairwise likelihood approach maximizes an objective function based on the product of bivariate probabilities from any two different pairs of variables to estimate both thresholds and polychoric/polyserial correlations. The asymptotic distribution of these estimators is used to develop a second stage estimation and testing procedure for SEM based on generalized least squares, and a new goodness-of-fit statistic is obtained that is asymptotically chi-square distributed. Results from a simulation study and a real example are provided to illustrate the methodology.
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