Pages that link to "Item:Q4237759"
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The following pages link to Semiparametric Methods for Response-Selective and Missing Data Problems in Regression (Q4237759):
Displaying 50 items.
- Reparametrization of the least favorable submodel in semi-parametric multisample models (Q418238) (← links)
- Design and relative efficiency in two-phase studies (Q453009) (← links)
- Semiparametric empirical likelihood estimation for two-stage outcome-dependent sampling under the frame of generalized linear models (Q477484) (← links)
- Reducing estimation bias in adaptively changing monitoring networks with preferential site selection (Q484029) (← links)
- Semi-empirical pseudo-likelihood for estimating equations in the presence of missing responses (Q538104) (← links)
- Optimal design for epidemiological studies subject to designed missingness (Q636159) (← links)
- A semiparametric pseudo-score method for analysis of two-phase studies with continuous phase-I covariates (Q636160) (← links)
- Efficiency of profile likelihood in semi-parametric models (Q652603) (← links)
- Analysis of inaccurate data with mixture measurement error models (Q684052) (← links)
- Biased sampling designs to improve research efficiency: factors influencing pulmonary function over time in children with asthma (Q746666) (← links)
- Semiparametric maximum likelihood for missing covariates in parametric regression (Q870501) (← links)
- Semi-parametric efficiency bounds for regression models under response-selective sampling: the profile likelihood approach (Q907057) (← links)
- Methods for stratified cluster sampling with informative stratification (Q933903) (← links)
- Semiparametric analysis of randomized response data with missing covariates in logistic regression (Q961693) (← links)
- On estimation of conditional density models with two-phase sampling (Q963892) (← links)
- A Bayesian propensity score adjustment for latent variable modeling and MCMC algorithm (Q1023467) (← links)
- Large sample theory for semiparametric regression models with two-phase, outcome dependent sampling. (Q1434007) (← links)
- Two-phase outcome-dependent studies for failure times and testing for effects of expensive covariates (Q1698940) (← links)
- Bayesian semiparametric analysis for two-phase studies of gene-environment interaction (Q1951549) (← links)
- Using the accelerated failure time model to analyze current status data with misclassified covariates (Q2044340) (← links)
- Semiparametric model for regression analysis with nonmonotone missing data (Q2059105) (← links)
- Semi-parametric regression when some (expensive) covariates are missing by design (Q2065301) (← links)
- Semiparametric Bayesian multiple imputation for regression models with missing mixed continuous-discrete covariates (Q2183768) (← links)
- Unified approach for regression models with nonmonotone missing at random data (Q2245664) (← links)
- A propensity score adjustment for multiple group structural equation modeling (Q2260985) (← links)
- A powerful test for ordinal trait genetic association analysis (Q2324981) (← links)
- Safe semi-supervised learning based on weighted likelihood (Q2339401) (← links)
- Recent progresses in outcome-dependent sampling with failure time data (Q2397793) (← links)
- Generalized partially linear models with missing covariates (Q2482133) (← links)
- On maximum likelihood estimation in parametric regression with missing covariates (Q2485982) (← links)
- Semiparametric theory and missing data. (Q2494657) (← links)
- Doubly robust-type estimation for covariate adjustment in latent variable modeling (Q2517891) (← links)
- Consistency of semiparametric maximum likelihood estimators for two-phase sampling (Q2747877) (← links)
- Adjusting the outputs of a classifier to new a priori probabilities: A simple procedure (Q2775812) (← links)
- Semiparametric approach to regression with a covariate subject to a detection limit (Q2797340) (← links)
- Outcome vector dependent sampling with longitudinal continuous response data: stratified sampling based on summary statistics (Q2846448) (← links)
- Bayesian inference for two-phase studies with categorical covariates (Q2846454) (← links)
- Statistical Inference for a Two-Stage Outcome-Dependent Sampling Design with a Continuous Outcome (Q3008878) (← links)
- A Multiphase Design Strategy for Dealing with Participation Bias (Q3008892) (← links)
- Design and Analysis of Multiple Events Case-Control Studies (Q3076056) (← links)
- Compliance Subsampling Designs for Comparative Research: Estimation and Optimal Planning (Q3078837) (← links)
- A Partially Linear Regression Model for Data from an Outcome-Dependent Sampling Design (Q3101563) (← links)
- Fitting regression models with response-biased samples (Q3174230) (← links)
- A PUZZLING PHENOMENON IN SEMIPARAMETRIC ESTIMATION PROBLEMS WITH INFINITE-DIMENSIONAL NUISANCE PARAMETERS (Q3551014) (← links)
- Adjustment for Missingness Using Auxiliary Information in Semiparametric Regression (Q3561808) (← links)
- Regression Analysis with a Misclassified Covariate from a Current Status Observation Scheme (Q3576916) (← links)
- Adjusting for missing record linkage in outcome studies (Q3591750) (← links)
- Semiparametric Estimation Exploiting Covariate Independence in Two‐Phase Randomized Trials (Q3623755) (← links)
- The Combination of Ecological and Case–Control Data (Q3631445) (← links)
- Regression Analysis with Covariates Missing at Random: A Piece-wise Nonparametric Model for Missing Covariates (Q3652788) (← links)
