A Hierarchical Bayesian Model to Predict the Duration of Immunity toHaemophilus InfluenzasType B

Biometrics - Tập 55 Số 4 - Trang 1306-1313 - 1999
Kari Auranen1, Martin Eichner2, Helena Käyhty3, Aino K. Takala3, Elja Arjas3,1
1Rolf Nevanlinna Institute, University of Helsinki, P.O. Box 4, FIN-00014 Helsinki, Finland
2Institut für Medizinische Biometrie, University of Tübingen, Westbahnhofstrasse 55, D-72070, Tübingen, Germany
3National Public Health Institute, Mannerheimintie 166, FIN-00300 Helsinki, Finland

Tóm tắt

Summary.A hierarchical Bayesian regression model is fitted to longitudinal data onHaemophilus influenzaetype b (Hib) serum antibodies. To estimate the decline rate of the antibody concentration, the model accommodates the possibility of unobserved subclinical infections with Hib bacteria that cause increasing concentrations during the study period. The computations rely on Markov chain Monte Carlo simulation of the joint posterior distribution of the model parameters. The model is used to predict the duration of immunity to subclinical Hib infection and to a serious invasive Hib disease.

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Tài liệu tham khảo

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Thông tin xuất bản

Biometrics

Tập 55 Số 4

1306-1313

Thông tin tác giả