Literature DB >> 16615653

Design and analysis of time-to-pregnancy.

Thomas H Scheike1, Niels Keiding.   

Abstract

Time-to-pregnancy(TTP), the duration that a couple waits from initiating attempts to conceive until conception occurs, is regarded as one of the direct measures of natural fecundity. Statistical tools for designing and analysing TTP studies belong to the general area of survival analysis, but several special features have been developed: it is customary to work in discrete time, and random heterogeneity between couples has always played a prominent role. This review works on this background with focus on how to perform valid analyses, under various prospective, retrospective and cross-sectional sampling frames. We illustrate using examples from our own experience.

Entities:  

Mesh:

Year:  2006        PMID: 16615653     DOI: 10.1191/0962280206sm435oa

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


  16 in total

1.  Anti-Müllerian hormone: a potential new tool in epidemiologic studies of female fecundability.

Authors:  Donna D Baird; Anne Z Steiner
Journal:  Am J Epidemiol       Date:  2012-01-12       Impact factor: 4.897

2.  Event dependent sampling of recurrent events.

Authors:  Kajsa Kvist; Per Kragh Andersen; Jules Angst; Lars Vedel Kessing
Journal:  Lifetime Data Anal       Date:  2010-06-06       Impact factor: 1.588

3.  Nonparametric tests for right-censored data with biased sampling.

Authors:  Jing Ning; Jing Qin; Yu Shen
Journal:  J R Stat Soc Series B Stat Methodol       Date:  2010-11-01       Impact factor: 4.488

4.  Likelihood approaches for the invariant density ratio model with biased-sampling data.

Authors:  Yu Shen; Jing Ning; Jing Qin
Journal:  Biometrika       Date:  2012-03-30       Impact factor: 2.445

5.  Prevalent cohort studies and unobserved heterogeneity.

Authors:  Niels Keiding; Katrine Lykke Albertsen; Helene Charlotte Rytgaard; Anne Lyngholm Sørensen
Journal:  Lifetime Data Anal       Date:  2019-07-03       Impact factor: 1.588

6.  Semiparametric modeling of grouped current duration data with preferential reporting.

Authors:  Alexander C McLain; Rajeshwari Sundaram; Marie Thoma; Germaine M Buck Louis
Journal:  Stat Med       Date:  2014-05-27       Impact factor: 2.373

7.  A joint modeling approach for multivariate survival data with random length.

Authors:  Shuling Liu; Amita K Manatunga; Limin Peng; Michele Marcus
Journal:  Biometrics       Date:  2016-10-04       Impact factor: 2.571

8.  Prevalence of infertility in the United States as estimated by the current duration approach and a traditional constructed approach.

Authors:  Marie E Thoma; Alexander C McLain; Jean Fredo Louis; Rosalind B King; Ann C Trumble; Rajeshwari Sundaram; Germaine M Buck Louis
Journal:  Fertil Steril       Date:  2013-01-03       Impact factor: 7.329

9.  alcohol, smoking, and caffeine in relation to fecundability, with effect modification by NAT2.

Authors:  Kira C Taylor; Chanley M Small; Celia E Dominguez; Lauren E Murray; Weining Tang; Malania M Wilson; Mark Bouzyk; Michele Marcus
Journal:  Ann Epidemiol       Date:  2011-11       Impact factor: 3.797

10.  Imputation for semiparametric transformation models with biased-sampling data.

Authors:  Hao Liu; Jing Qin; Yu Shen
Journal:  Lifetime Data Anal       Date:  2012-08-18       Impact factor: 1.588

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.