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BB Seminar: Risk of miscarriage following immunization of bivalent HPV vaccine: Bayesian approach

The risk of miscarriage following immunization of the bivalent Human papillomavirus (HPV) - 16/18 vaccine: A Bayesian approach

Biostatistics Branch Seminar Series

Topic:

The risk of miscarriage following immunization of the bivalent Human papillomavirus (HPV) - 16/18 vaccine: A Bayesian approach

Lecturer:

Bingshu E. Chen, PhD
Senior Biostatistician, NCIC Clinical Trails Group
Assistant Professor, Division of Biostatistics 
Queen's University
Ontario, Canada

Abstract:

We developed a hierarchical Bayes model to identify the potential time-dependent risk window of miscarriage rate associated with the bivalent vaccine against human papillomavirus (HPV) type 16/18. Gibbs Sampling algorithms were used for the inference on model parameters. We then conducted simulation studies to evaluate the performance of the proposed method and estimate the power in detecting the risk effect. Statistical power of the Bayesian approach and existing method (e.g. the permutation test) were compared. The proposed model was illustrated with application to the subpopulation of pregnant women from the Costa Rica Vaccine Trial (CVT).