Literature DB >> 16615656

Statistical models for human fecundability.

Haibo Zhou1.   

Abstract

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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Year:  2006        PMID: 16615656     DOI: 10.1191/0962280206sm438oa

Source DB:  PubMed          Journal:  Stat Methods Med Res        ISSN: 0962-2802            Impact factor:   3.021


  2 in total

1.  A multistate competing risks framework for preconception prediction of pregnancy outcomes.

Authors:  Kaitlyn Cook; Neil J Perkins; Enrique Schisterman; Sebastien Haneuse
Journal:  BMC Med Res Methodol       Date:  2022-05-30       Impact factor: 4.612

2.  A comparison of the beta-geometric model with landmarking for dynamic prediction of time to pregnancy.

Authors:  Rik van Eekelen; Hein Putter; David J McLernon; Marinus J Eijkemans; Nan van Geloven
Journal:  Biom J       Date:  2019-11-18       Impact factor: 2.207

  2 in total

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