Strategies to fit pattern-mixture models |
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Authors: | Thijs Herbert Molenberghs Geert Michiels Bart Verbeke Geert Curran Desmond |
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Affiliation: | Biostatistics, Center for Statistics, Limburgs Universitair Centrum, Universitaire Campus, B-3590 Diepenbeek, Belgium. |
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Abstract: | Whereas most models for incomplete longitudinal data are formulated within the selection model framework, pattern-mixture models have gained considerable interest in recent years (Little, 1993, 1994). In this paper, we outline several strategies to fit pattern-mixture models, including the so-called identifying restrictions strategy. Multiple imputation is used to apply this strategy to realistic settings, such as quality-of-life data from a longitudinal study on metastatic breast cancer patients. |
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Keywords: | Delta method Linear mixed model Missing data Repeated measures Sensitivity analysis |
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