Accelerated failure time regression for backward recurrence times and current durations

Keiding, Niels; Fine, Jason P.; Hansen, Ole Paaske; Slama, Rémy

doi:10.1016/j.spl.2011.02.009

Cited by 20 publications

(13 citation statements)

References 14 publications

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“…Unadjusted and adjusted associations between sociodemographic characteristics and the total (unobserved) duration of pregnancy attempt were estimated using backward recurrence time survival methods (Yamaguchi, ). Specifically, we used weighted accelerated‐failure‐time (AFT) regression models censored at a TTP of 30 months and accounted for potential clustering referable to the sample design (Keiding et al ., ). These methods allow for the estimation of time ratio (TR) associations between sociodemographic characteristics and the (unobserved) TTP.…”

Section: Methodsmentioning

confidence: 97%

The prevalence of couple infertility in the United States from a male perspective: evidence from a nationally representative sample

et al. 2013

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Infertility is a couple based fecundity impairment, though population level research is largely based upon information reported by female partners. Of the few studies focusing on male partners, most focus on the utilization of infertility services rather than efforts to estimate the prevalence and determinants of infertility as reported by male partners. Data from a nationally-representative sample of men aged 15–44 years who participated in the 2002 National Survey of Family Growth (NSFG) were used to estimate the prevalence of infertility and determinants of longer time-to-pregnancy (TTP) using the novel current duration approach. Using backward recurrence time parametric survival methods, we estimated infertility prevalence (TTP > 12 months) and time ratios (TR) associated with TTP as derived from males’ reported current duration of their pregnancy attempt. The estimated prevalence of infertility was 12.0% (95% CI: 7.0, 23.2). Longer TTP was associated with older male age (35–45 vs. 17–24 years) (TR: 2.49; 95% CI: 1.03, 6.03), biological childlessness (TR: 1.53; 95% CI: 1.07, 2.19), and lack of health insurance (TR: 1.73; 95% CI: 1.02, 2.94) after controlling for the differences in couples’ age and other socioeconomic factors. The prevalence of infertility based on male reporting is consistent with estimates of infertility in the United States found in prospective cohort studies and current duration studies based on female reporting. Our findings suggest that males can reliably inform about couple infertility. Interventions and services aimed at reducing couple infertility should include attention to male factors associated with longer TTP identified in this study.

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Section: Methodsmentioning

confidence: 97%

The prevalence of couple infertility in the United States from a male perspective: evidence from a nationally representative sample

et al. 2013

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“…These results indicate that with 0.358 probability, a 31-year-old nulliparous women will have 12+ month pregnancy attempt. We compared the aforementioned results to those obtained from the parametric AFT model proposed in [16]. To fit the AFT model, we altered the data to T * = T + C where C = 0.5 and fit log (T * ) = −( + Z) + ∕ where has an extreme value distribution.…”

Section: Discussionmentioning

confidence: 99%

“…Statistical methods for analyzing current duration data have focused on continuous time parametric and nonparametric approaches. For example, Keiding et al developed nonparametric and parametric methods to estimate the survivor function of T from continuous Y values (), and Keiding et al proposed the use of continuous time accelerated failure time (AFT) models to estimate affect covariates have on the distribution of T .…”

Section: Introductionmentioning

confidence: 99%

Semiparametric modeling of grouped current duration data with preferential reporting

et al. 2014

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Current duration data arise in cross-sectional studies from questions on the length of time from an initiating event to the time of interview. For example in the National Survey on Family Growth, women who were considered at risk for pregnancy were asked (a) “Are you currently attempting pregnancy?” and (b) “If yes, how many months have you been attempting to get pregnant?” The responses to (b), referred to as the current durations, are length-biased because women with longer durations are more likely to answer yes to question (a) and therefore be included in the sample. Previous methods to analyze such data include continuous time nonparametric and parametric approaches. In this article, we propose a semiparametric Cox model and a piecewise constant baseline model (used to account for digit preference) to analyze grouped current duration data. We discuss and investigate through simulation studies, the robustness properties of the proposed methods when digit preference is present. Lastly, we present an analysis of the current duration data resulting from the 2002 National Survey on Family Growth.

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“…Additional developments have addressed the estimation of distributions for baseline covariates in the target population given the observed biased data under length-biased sampling (Chan and Wang 2012), and have investigated issues associated with efficiency for covariate estimates under parametric models (Bergeron et al 2008; Cook and Bergeron 2011). Keiding et al (2011) investigated the parametric AFT regression models to analyze backward recurrence times in a pregnancy study.…”

Section: Other Semiparametric Models and Developmentsmentioning

confidence: 99%

Nonparametric and semiparametric regression estimation for length-biased survival data

2016

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For the past several decades, nonparametric and semiparametric modeling for conventional right-censored survival data has been investigated intensively under a noninformative censoring mechanism. However, these methods may not be applicable for analyzing right-censored survival data that arise from prevalent cohorts when the failure times are subject to length-biased sampling. This review article is intended to provide a summary of some newly developed methods as well as established methods for analyzing length-biased data.

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Accelerated failure time regression for backward recurrence times and current durations

Cited by 20 publications

References 14 publications

The prevalence of couple infertility in the United States from a male perspective: evidence from a nationally representative sample

The prevalence of couple infertility in the United States from a male perspective: evidence from a nationally representative sample

Semiparametric modeling of grouped current duration data with preferential reporting

Nonparametric and semiparametric regression estimation for length-biased survival data

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