Literature DB >> 8235177

A regression model for the rate of success of in vitro fertilization.

S Baeten1, A Bouckaert, E Loumaye, K Thomas.   

Abstract

The treatment of infertility by in vitro fertilization involves several aspects of human reproductive physiology. Since failures are still numerous and since improved techniques are becoming increasingly available, it is important to develop a model where the components of success are identified, allowing estimation of the occurrence of these components of success in the infertile population. The model of Speirs reduces these components to two: uterine receptivity and embryo viability. The probabilities of uterine receptivity and embryo viability were estimated here in a retrospective study of patients in a Belgian hospital sample. For comparison, Australian and U.S. data were used. It was shown that the estimate of uterine receptivity for the Belgian sample is located between the estimates for Australian and U.S. samples. In view of the psychological problem of repeated unsuccessful attempts at in vitro fertilization in some patients, it is important to be able to single out some prognostic factors that would allow more precise estimation of the probability for success in each case. A regression method was developed for that purpose. Only the effect of age, in the Belgian sample, was found to influence uterine receptivity significantly.

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Year:  1993        PMID: 8235177     DOI: 10.1002/sim.4780121703

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  4 in total

1.  Methodological approaches to analyzing IVF data with multiple cycles.

Authors:  Jennifer Yland; Carmen Messerlian; Lidia Mínguez-Alarcón; Jennifer B Ford; Russ Hauser; Paige L Williams
Journal:  Hum Reprod       Date:  2019-03-01       Impact factor: 6.918

2.  Analysis of in vitro fertilization data with multiple outcomes using discrete time-to-event analysis.

Authors:  Arnab Maity; Paige L Williams; Louise Ryan; Stacey A Missmer; Brent A Coull; Russ Hauser
Journal:  Stat Med       Date:  2013-12-08       Impact factor: 2.373

3.  Analysis of multiple-cycle data from couples undergoing in vitro fertilization: methodologic issues and statistical approaches.

Authors:  Stacey A Missmer; Kimberly R Pearson; Louise M Ryan; John D Meeker; Daniel W Cramer; Russ Hauser
Journal:  Epidemiology       Date:  2011-07       Impact factor: 4.822

4.  Using Bonferroni, BIC and AIC to assess evidence for alternative biological pathways: covariate selection for the multilevel Embryo-Uterus model.

Authors:  Christos Stylianou; Andrew Pickles; Stephen A Roberts
Journal:  BMC Med Res Methodol       Date:  2013-06-06       Impact factor: 4.615

  4 in total

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