A Discrete Survival Model with Random Effects: An Application to Time to Pregnancy

DOI10.2307/2533117zbMath0874.62135OpenAlexW2049137163WikidataQ73331833 ScholiaQ73331833MaRDI QIDQ4351029

Tina Kold Jensen, Thomas H. Scheike

Publication date: 9 November 1997

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/2533117

zbMATH Keywords

Cox regressionfrailty modelsleft truncationretrospective samplingfecundityright truncation

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (12)

Optimal designs for discrete-time survival models with random effects ⋮ A joint modeling approach for multivariate survival data with random length ⋮ A Joint Mixed Effects Dispersion Model for Menstrual Cycle Length and Time-to-Pregnancy ⋮ Assessing the default risk by means of a discrete-time survival analysis approach ⋮ Joint modeling of intercourse behavior and human fecundability using structural equation models ⋮ Random-effects regression analysis of correlated grouped-time survival data ⋮ Multilevel models for censored and latent responses ⋮ Design and analysis of time-to-pregnancy ⋮ Heterogeneity in fecundability studies: issues and modelling ⋮ Multivariate Parametric Random Effect Regression Models for Fecundability Studies ⋮ Estimating Cycle Pregnancy Probability with Incomplete Data in Contraceptive Studies ⋮ Variable selection in discrete survival models including heterogeneity

This page was built for publication: A Discrete Survival Model with Random Effects: An Application to Time to Pregnancy