Composite Partial Likelihood Estimation Under Length-Biased Sampling, With Application to a Prevalent Cohort Study of Dementia
From MaRDI portal
Publication:4648537
DOI10.1080/01621459.2012.682544zbMath1299.62123OpenAlexW2087781944WikidataQ37135492 ScholiaQ37135492MaRDI QIDQ4648537
Publication date: 9 November 2012
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: http://europepmc.org/articles/pmc3758493
Asymptotic distribution theory in statistics (62E20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Censored data models (62N01)
Related Items (36)
Inference on semi-parametric transformation model with a pairwise likelihood based on left-truncated and interval-censored data ⋮ Estimating equation for additive hazards model with censored length-biased data ⋮ Composite partial likelihood estimation for length-biased and right-censored data with competing risks ⋮ Semiparametric maximum likelihood estimation for the Cox model with length-biased survival data ⋮ A proportional hazards model for time-to-event data with epidemiological bias ⋮ Combined estimating equation approaches for semiparametric transformation models with length-biased survival data ⋮ Nonparametric and semiparametric regression estimation for length-biased survival data ⋮ Nonparametric inference on mean residual life function with length-biased right-censored data ⋮ Nonparametric estimation of the ROC curve for length-biased and right-censored data ⋮ Nonparametric smoothed quantile difference estimation for length-biased and right-censored data ⋮ Reweighting estimators for the transformation models with length-biased sampling data and missing covariates ⋮ Proportional mean residual life model with varying coefficients for length-biased and right-censored data ⋮ Estimation for the Cox model with biased sampling data via risk set sampling ⋮ A pairwise pseudo‐likelihood approach for left‐truncated and interval‐censored data under the Cox model ⋮ Survival Modelling for Data From Combined Cohorts: Opening the Door to Meta Survival Analyses and Survival Analysis Using Electronic Health Records ⋮ Local composite partial likelihood estimation for length-biased and right-censored data ⋮ The nonparametric quantile estimation for length-biased and right-censored data ⋮ Analyzing the general biased data by additive risk model ⋮ Pseudo-likelihood for case–cohort studies under length-biased sampling ⋮ Unnamed Item ⋮ Nonparametric and semiparametric estimators of restricted mean survival time under length-biased sampling ⋮ Partially linear transformation model for length-biased and right-censored data ⋮ Rank-based estimation for semiparametric accelerated failure time model under length-biased sampling ⋮ Estimating equations of additive mean residual life model with censored length-biased data ⋮ Semiparametric quantile-difference estimation for length-biased and right-censored data ⋮ Model diagnostics for the proportional hazards model with length-biased data ⋮ Missing information principle: a unified approach for general truncated and censored survival data problems ⋮ Composite Estimating Equation Method for the Accelerated Failure Time Model with Length-biased Sampling Data ⋮ The estimation for the general additive-multiplicative hazard model using the length-biased survival data ⋮ New empirical likelihood inference for the mean residual life with length-biased and right-censored data ⋮ Simple and fast overidentified rank estimation for right-censored length-biased data and backward recurrence time ⋮ A pairwise likelihood augmented Cox estimator for left-truncated data ⋮ Regression Analysis of Length‐biased and Right‐censored Failure Time Data with Missing Covariates ⋮ Composite estimating equation approach for additive risk model with length-biased and right-censored data ⋮ A Bayesian semiparametric method for analyzing length-biased data ⋮ A risk set adjustment for proportional hazards modeling of combined cohort data
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Cox's regression model for counting processes: A large sample study
- On composite marginal likelihoods
- Asymptotic properties of the product limit estimate under random truncation
- Large sample study of empirical distributions in a random-multiplicative censoring model
- Asymptotic behavior of the unconditional NPMLE of the length-biased survivor function from right censored prevalent cohort data
- Nonparametric estimation under length-biased sampling and type I censoring: A moment based approach
- An Extension of Cox's Regression Model
- Biases in Prevalent Cohorts
- Pseudo-partial likelihood for proportional hazards models with biased-sampling data
- Statistical Methods for Analyzing Right-Censored Length-Biased Data under Cox Model
- Nonparametric estimation for right-censored length-biased data: a pseudo-partial likelihood approach
- Multiplicative censoring, renewal processes, deconvolution and decreasing density: Nonparametric estimation
- Hazards regression analysis for length-biased data
- A product‐limit estimator for use with length‐biased data
- Length-Biased Sampling With Right Censoring
- Statistical Models for Prevalent Cohort Data
- On the theory of screening for chronic diseases
- Statistical models based on counting processes
This page was built for publication: Composite Partial Likelihood Estimation Under Length-Biased Sampling, With Application to a Prevalent Cohort Study of Dementia
