Biased Sampling, over-Identified Parameter Problems and Beyond

Biased sampling problems appear in many areas of research, including medicine, epidemiology and public health, the social sciences and economics. This book addresses a range of important topics, including case and control studies, causal inference, missing data problems, meta-analysis, renewal process and length biased sampling problems, capture and recapture problems, case cohort studies, and exponential tilting genetic mixture models, etc.