Literature DB >> 21907789

A sample size calculation for spontaneous abortion in observational studies.

Ronghui Xu1, Christina Chambers.   

Abstract

Spontaneous abortion (SAB) is an important endpoint in studying the effects of drugs or vaccines on pregnancy outcomes. Such studies are typically observational in nature. Evaluation of the risk for SAB is often conducted as part of a prospective exposure cohort study, or pregnancy registry, where women are recruited into the study at some point after recognition of pregnancy. Subjects accrued in this way are left truncated, in the sense that the time to SAB is not followed from the start of pregnancy, and the observed data is conditional on the fact that a woman has not had SAB by enrollment. Due to left truncation the estimation of SAB rates needs to use survival analysis methods. A further complication occurs when there is loss to follow-up, so that for those individuals it is not known whether they have SAB. These factors necessarily lead to complex modeling of the SAB data, and the calculation of sample size is not straightforward. In this communication we consider a simple sample size calculation that only requires minimum assumptions on the population SAB rates and the anticipated observed SAB rates. The method is exemplified on a hypothetical prospective study of risk for SAB.
Copyright © 2011 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 21907789     DOI: 10.1016/j.reprotox.2011.08.009

Source DB:  PubMed          Journal:  Reprod Toxicol        ISSN: 0890-6238            Impact factor:   3.143


  4 in total

1.  A nonparametric maximum likelihood approach for survival data with observed cured subjects, left truncation and right-censoring.

Authors:  Jue Hou; Christina D Chambers; Ronghui Xu
Journal:  Lifetime Data Anal       Date:  2017-12-13       Impact factor: 1.588

2.  Semiparametric model and inference for spontaneous abortion data with a cured proportion and biased sampling.

Authors:  Jin Piao; Jing Ning; Christina D Chambers; Ronghui Xu
Journal:  Biostatistics       Date:  2018-01-01       Impact factor: 5.899

3.  Receipt of mRNA COVID-19 vaccines preconception and during pregnancy and risk of self-reported spontaneous abortions, CDC v-safe COVID-19 Vaccine Pregnancy Registry 2020-21.

Authors:  Lauren Head Zauche; Bailey Wallace; Ashley N Smoots; Christine K Olson; Titilope Oduyebo; Shin Y Kim; Emily E Peterson; Jun Ju; Jennifer Beauregard; Allen J Wilcox; Charles E Rose; Dana Meaney-Delman; Sascha R Ellington
Journal:  Res Sq       Date:  2021-08-09

4.  Time-dependent propensity score for assessing the effect of vaccine exposure on pregnancy outcomes through pregnancy exposure cohort studies.

Authors:  Ronghui Xu; Yunjun Luo; Robert Glynn; Diana Johnson; Kenneth L Jones; Christina Chambers
Journal:  Int J Environ Res Public Health       Date:  2014-03-12       Impact factor: 3.390

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.