Inference for the varying-coefficient proportional rate model

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概要

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• A varying-coefficient regression model for repeated measurements is considered. It can be applied to variety of data structures including binary and count data. A local linear estimating function is proposed. The resulting estimators of time-varying regression coefficients are consistent and asymptotically normal. Based on these asymptotic results, one can construct pointwise confidence bands of time-varying regression coefficients. For binary data, time-varying covariate effects over time on the risk ratio can be investigated according to our proposal. An illustration is provided with a dataset from a clinical trial and results of a simulation study are presented.

• 日本計量生物学会の論文
• 2005-07-31

著者

• Hattori Satoshi

  The Biostatistics Center Kurume University

関連論文

• Estimation of mean functions in semiparametric analysis of longitudinal studies
• Inference for the varying-coefficient proportional rate model

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