The association between persistent fetal occiput posterior position and perinatal outcomes: An example of propensity score and covariate distance matching

Yvonne W. Cheng, Alan Hubbard, Aaron Caughey, Ira B. Tager

Research output: Contribution to journalArticle

24 Scopus citations


In a retrospective cohort study of 18,880 full-term, cephalic singletons born in San Francisco, California, during 1976-2001, the authors used multivariable logistic regression (MVLR) and propensity score analysis (PSA) to examine the association between persistent fetal occiput posterior (OP) position and perinatal outcomes. The principles and applications of these techniques are compared and discussed. Pregnancies with OP positions at delivery were compared with those with occiput anterior positions. Perinatal outcomes were examined as adjusted odds ratios determined by MVLR and PSA and as risk differences determined by propensity score matched bootstrapping based on covariate distance. Persistent OP position was associated with operative delivery and maternal morbidity. The odds ratio estimates based on PSA were somewhat larger than those obtained with standard MVLR, and the confidence intervals were narrower. When statistical inference was evaluated with the permutation test, the results were more consistent with the PSA. These analyses demonstrate that PSA is likely to provide more precise estimates of exposure associations and more reliable statistical inferences than MVLR. The authors show that PSA can be extended with Mahalanobis distance matching to obtain estimates of risk difference between exposed and unexposed subjects that avoid violations of the experimental treatment assignment (positivity) assumption that is required for valid causal inference.

Original languageEnglish (US)
Pages (from-to)656-663
Number of pages8
JournalAmerican Journal of Epidemiology
Issue number6
Publication statusPublished - Mar 2010
Externally publishedYes



  • Labor, obstetric
  • Pregnancy outcome
  • Propensity score

ASJC Scopus subject areas

  • Epidemiology

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