Variable selection for discrete survival model with frailty in presence of left truncation and right censoring: studying association of environmental toxicants on time-to-pregnancy
From MaRDI portal
Publication:6629922
DOI10.1002/sim.9609zbMATH Open1548.62421MaRDI QIDQ6629922
Abhisek Saha, Rajeshwari Sundaram
Publication date: 30 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Variable selection in discrete survival models including heterogeneity
- The Adaptive Lasso and Its Oracle Properties
- Variable selection for generalized linear mixed models by \(L_1\)-penalized estimation
- Broken adaptive ridge regression and its asymptotic properties
- Variable selection for Cox's proportional hazards model and frailty model
- L1Penalized Estimation in the Cox Proportional Hazards Model
- A permutation approach for selecting the penalty parameter in penalized model selection
- Latent class models for joint analysis of disease prevalence and high-dimensional semicontinuous biomarker data
- The Group Lasso for Logistic Regression
- Approximate Inference in Generalized Linear Mixed Models
- L 1-Regularization Path Algorithm for Generalized Linear Models
- Regularization and Variable Selection Via the Elastic Net
- Heterogeneity in fecundability studies: issues and modelling
- Premières recherches sur la fécondabilité de la femme.
This page was built for publication: Variable selection for discrete survival model with frailty in presence of left truncation and right censoring: studying association of environmental toxicants on time-to-pregnancy