Literature DB >> 12933598

Estimating time to pregnancy from current durations in a cross-sectional sample.

Niels Keiding1, Kajsa Kvist, Helle Hartvig, Mads Tvede, Svend Juul.   

Abstract

A new design for estimating the distribution of time to pregnancy is proposed and investigated. The design is based on recording current durations in a cross-sectional sample of women, leading to statistical problems similar to estimating renewal time distributions from backward recurrence times. Non-parametric estimation is studied in some detail and a parametric approach is indicated. The results are illustrated on Monte Carlo simulations and on data from a recent European collaborative study. The role and applicability of this approach is discussed.

Entities:  

Year:  2002        PMID： 12933598     DOI： 10.1093/biostatistics/3.4.565

Source DB:  PubMed          Journal:  Biostatistics        ISSN： 1465-4644            Impact factor:   5.899


  32 in total

1.  The current duration design for estimating the time to pregnancy distribution: a nonparametric Bayesian perspective.

Authors:  Dario Gasbarra; Elja Arjas; Aki Vehtari; Rémy Slama; Niels Keiding
Journal:  Lifetime Data Anal       Date:  2015-06-12       Impact factor: 1.588

2.  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

3.  Parametric modelling of prevalent cohort data with uncertainty in the measurement of the initial onset date.

Authors:  J H McVittie; D B Wolfson; D A Stephens
Journal:  Lifetime Data Anal       Date:  2019-08-02       Impact factor: 1.588

Review 4.  Is human fecundity changing? A discussion of research and data gaps precluding us from having an answer.

Authors:  Melissa M Smarr; Katherine J Sapra; Alison Gemmill; Linda G Kahn; Lauren A Wise; Courtney D Lynch; Pam Factor-Litvak; Sunni L Mumford; Niels E Skakkebaek; Rémy Slama; Danelle T Lobdell; Joseph B Stanford; Tina Kold Jensen; Elizabeth Heger Boyle; Michael L Eisenberg; Paul J Turek; Rajeshwari Sundaram; Marie E Thoma; Germaine M Buck Louis
Journal:  Hum Reprod       Date:  2017-03-01       Impact factor: 6.918

5.  Accounting for length-bias and selection effects in estimating the distribution of menstrual cycle length.

Authors:  Kirsten J Lum; Rajeshwari Sundaram; Thomas A Louis
Journal:  Biostatistics       Date:  2014-07-14       Impact factor: 5.899

Review 6.  Nonparametric and semiparametric regression estimation for length-biased survival data.

Authors:  Yu Shen; Jing Ning; Jing Qin
Journal:  Lifetime Data Anal       Date:  2016-04-16       Impact factor: 1.588

7.  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

8.  Collaborative, pooled and harmonized study designs for epidemiologic research: challenges and opportunities.

Authors:  Catherine R Lesko; Lisa P Jacobson; Keri N Althoff; Alison G Abraham; Stephen J Gange; Richard D Moore; Sharada Modur; Bryan Lau
Journal:  Int J Epidemiol       Date:  2018-04-01       Impact factor: 7.196

9.  Work schedule and physical factors in relation to fecundity in nurses.

Authors:  Audrey J Gaskins; Janet W Rich-Edwards; Christina C Lawson; Eva S Schernhammer; Stacey A Missmer; Jorge E Chavarro
Journal:  Occup Environ Med       Date:  2015-08-06       Impact factor: 4.402

Review 10.  Epidemiologic tools to study the influence of environmental factors on fecundity and pregnancy-related outcomes.

Authors:  Rémy Slama; Ferran Ballester; Maribel Casas; Sylvaine Cordier; Merete Eggesbø; Carmen Iniguez; Mark Nieuwenhuijsen; Claire Philippat; Sylvie Rey; Stéphanie Vandentorren; Martine Vrijheid
Journal:  Epidemiol Rev       Date:  2013-12-20       Impact factor: 6.222
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