A Semiparametric Empirical Likelihood Method for Biased Sampling Schemes with Auxiliary Covariates
From MaRDI portal
Publication:5295376
DOI10.1111/j.1541-0420.2006.00612.xzbMath1114.62129OpenAlexW2051099445WikidataQ79420220 ScholiaQ79420220MaRDI QIDQ5295376
Publication date: 27 July 2007
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/j.1541-0420.2006.00612.x
Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)
Related Items
Nonparametric Modeling Auxiliary Covariates in Random Coefficient Models ⋮ Outcome-dependent sampling design and inference for Cox's proportional hazards model ⋮ Time-dependent classification accuracy curve under marker-dependent sampling ⋮ Recent progresses in outcome-dependent sampling with failure time data ⋮ Analysis of an outcome-dependent enriched sample: hypothesis tests ⋮ Semiparametric empirical likelihood estimation for two-stage outcome-dependent sampling under the frame of generalized linear models ⋮ Statistical Inference for a Two-Stage Outcome-Dependent Sampling Design with a Continuous Outcome ⋮ Design and Inference for Cancer Biomarker Study with an Outcome and Auxiliary-Dependent Subsampling ⋮ Consistency of the estimator of cumulative hazard function in estimated pseudo-partial-likelihood approach ⋮ Estimation of a monotone density in \(s\)-sample biased sampling models ⋮ A Partial Linear Model in the Outcome-Dependent Sampling Setting to Evaluate the Effect of Prenatal PCB Exposure on Cognitive Function in Children ⋮ A Partially Linear Regression Model for Data from an Outcome-Dependent Sampling Design ⋮ Estimated Pseudopartial‐Likelihood Method for Correlated Failure Time Data with Auxiliary Covariates ⋮ Regression analysis for a summed missing data problem under an outcome-dependent sampling scheme
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A Semiparametric Empirical Likelihood Method for Data from an Outcome-Dependent Sampling Scheme with a Continuous Outcome
- Empirical likelihood ratio confidence regions
- Empirical likelihood and general estimating equations
- A case-cohort design for epidemiologic cohort studies and disease prevention trials
- Logistic regression for two-stage case-control data
- Empirical likelihood ratio confidence intervals for a single functional
- Semiparametric Methods for Response-Selective and Missing Data Problems in Regression
- Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
- Fitting regression models to case-control data by maximum likelihood
- Design and Analysis of Two-Phase Studies with Binary Outcome Applied to Wilms Tumour Prognosis
- Failure Time Regression With Continuous Covariates Measured With Error
- On Profile Likelihood
- Auxiliary covariate data in failure time regression
- An Estimated Likelihood Method for Continuous Outcome Regression Models With Outcome-Dependent Sampling
