Pages that link to "Item:Q4468533"

The following pages link to A Pseudoscore Estimator for Regression Problems With Two-Phase Sampling (Q4468533):

Displaying 50 items.

• Outcome-dependent sampling with interval-censored failure time data (Q106240) (← links)
• A Partial Linear Model in the Outcome-Dependent Sampling Setting to Evaluate the Effect of Prenatal PCB Exposure on Cognitive Function in Children (Q147585) (← links)
• Pseudolikelihood ratio test with biased observations (Q452293) (← 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)
• Semi-empirical pseudo-likelihood for estimating equations in the presence of missing responses (Q538104) (← links)
• Nonparametric regression under double-sampling designs (Q545462) (← links)
• Norman Breslow, an architect of modern biostatistics (Q636137) (← links)
• A semiparametric pseudo-score method for analysis of two-phase studies with continuous phase-I covariates (Q636160) (← links)
• Semiparametric maximum likelihood for missing covariates in parametric regression (Q870501) (← links)
• Analysis of an outcome-dependent enriched sample: hypothesis tests (Q893013) (← links)
• On estimation of conditional density models with two-phase sampling (Q963892) (← 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)
• Statistical inference methods and applications of outcome-dependent sampling designs under generalized linear models (Q1700704) (← links)
• Information bounds for Cox regression models with missing data. (Q1879951) (← links)
• Bayesian semiparametric analysis for two-phase studies of gene-environment interaction (Q1951549) (← links)
• Semiparametric model for regression analysis with nonmonotone missing data (Q2059105) (← links)
• Data-adaptive efficient estimation strategies for biomarker studies embedded in randomized trials (Q2080742) (← links)
• Semiparametric inference for a two-stage outcome-dependent sampling design with interval-censored failure time data (Q2176311) (← links)
• Regression analysis for outcome-dependent sampling design under the covariate-adjusted additive hazards model (Q2221638) (← links)
• Unified approach for regression models with nonmonotone missing at random data (Q2245664) (← links)
• Recent progresses in outcome-dependent sampling with failure time data (Q2397793) (← links)
• On maximum likelihood estimation in parametric regression with missing covariates (Q2485982) (← links)
• Marginal genetic effects estimation in family and twin studies using random-effects models (Q2809545) (← links)
• Design and estimation for evaluating principal surrogate markers in vaccine trials (Q2846433) (← links)
• Regression analysis for a summed missing data problem under an outcome-dependent sampling scheme (Q2856542) (← 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)
• A Partially Linear Regression Model for Data from an Outcome-Dependent Sampling Design (Q3101563) (← links)
• Evaluating principal surrogate markers in vaccine trials in the presence of multiphase sampling (Q3119801) (← links)
• Non‐parametric Estimation of a Survival Function with Two‐stage Design Studies (Q3608261) (← links)
• Semiparametric Estimation Exploiting Covariate Independence in Two‐Phase Randomized Trials (Q3623755) (← links)
• Regression Analysis with Covariates Missing at Random: A Piece-wise Nonparametric Model for Missing Covariates (Q3652788) (← links)
• Adjustment for Missing Confounders Using External Validation Data and Propensity Scores (Q4916437) (← links)
• Statistical inference for the accelerated failure time model under two-stage generalized case–cohort design (Q5077966) (← links)
• Hypothesis testing in outcome-dependent sampling design under generalized linear models (Q5082926) (← links)
• Gaussian kernel in quantum learning (Q5114390) (← links)
• Optimal Designs of Two-Phase Studies (Q5146045) (← links)
• Response‐dependent two‐phase sampling designs for biomarker studies (Q5166415) (← links)
• Semiparametric approach for non‐monotone missing covariates in a parametric regression model (Q5170197) (← links)
• Discussions (Q5299796) (← links)
• Estimation of regression parameters in missing data problems (Q5443819) (← links)
• Logistic regression analysis of two‐phase studies using generalized method of moments (Q6056151) (← links)
• Generalized case‐control sampling under generalized linear models (Q6079869) (← links)
• Improving estimation efficiency for two-phase, outcome-dependent sampling studies (Q6158213) (← links)
• Adjusting for unmeasured confounding in survival causal effect using validation data (Q6167044) (← links)
• Model misspecification and robust analysis for outcome-dependent sampling designs under generalized linear models (Q6617490) (← links)
• Semiparametric pseudo-score and pseudo-likelihood for evaluating correlate of protection in vaccine trials (Q6626858) (← links)
• Best linear inverse probability weighted estimation for two-phase designs and missing covariate regression (Q6627168) (← links)