Statistical models for fertility studies play a critical role in understanding the biology for conception and in identifying potential environmental factors that may negatively affect human reproduction. Aided with improved computing capability, statistical modeling for fertility data has made a remarkable progress in the past decade. The author provides an overview of the historic and current developments for fecundability models.
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