The following pages link to (Q4779059):
Displaying 50 items.
- A Tutorial on the Practical Use and Implication of Complete Sufficient Statistics (Q6086593) (← links)
- A Brief Review of Approaches to Non‐ignorable Non‐response (Q6086594) (← links)
- Confidence Intervals for the Area Under the Receiver Operating Characteristic Curve in the Presence of Ignorable Missing Data (Q6086611) (← links)
- Bartlett correction to the likelihood ratio test for MCAR with two‐step monotone sample (Q6088216) (← links)
- A partial posterior <i>p</i> value test for multilevel mediation (Q6089507) (← links)
- Calibration Techniques Encompassing Survey Sampling, Missing Data Analysis and Causal Inference (Q6089884) (← links)
- Correcting conditional mean imputation for censored covariates and improving usability (Q6089910) (← links)
- Model‐Assisted Regression Estimators for Longitudinal Data with Nonignorable Dropout (Q6090532) (← links)
- Recent Developments in Dealing with Item Non‐response in Surveys: A Critical Review (Q6090537) (← links)
- Missing data: A statistical framework for practice (Q6091675) (← links)
- Nonparametric regression with nonignorable missing covariates and outcomes using bounded inverse weighting (Q6091917) (← links)
- Joint linear modeling of mixed data and its application to email analysis (Q6102206) (← links)
- Bayesian latent variable model of mixed correlated rank and beta-binomial responses with missing data for the international statistical literacy project poster competition (Q6102208) (← links)
- Estimation in a general semiparametric hazards regression model with missing covariates (Q6106249) (← links)
- Measuring Individual Benefits of Medical Treatments Using Longitudinal Hospital Data with Non-Ignorable Missing Responses Caused by Patient Discharge: Application to the Study of Benefits of Pain Management Post Spinal Fusion (Q6107033) (← links)
- A Versatile Estimation Procedure Without Estimating the Nonignorable Missingness Mechanism (Q6110710) (← links)
- Flexible factor model for handling missing data in supervised learning (Q6113645) (← links)
- On the estimation of finite population variance for a mail survey design in the presence of non-response using new conventional and calibrated estimators (Q6118218) (← links)
- U.S. long‐term earnings outcomes by sex, race, ethnicity, and place of birth (Q6120471) (← links)
- (Q6125990) (← links)
- Modeling racial/ethnic differences in COVID-19 incidence with covariates subject to nonrandom missingness (Q6138597) (← links)
- A robust model averaging approach for partially linear models with responses missing at random (Q6140346) (← links)
- Asymptotic Properties of the Semi-Parametric Estimators of the Conditional Density for Functional Data in the Single Index Model with Missing Data at Random (Q6158333) (← links)
- Response-adaptive randomization in clinical trials: from myths to practical considerations (Q6166866) (← links)
- Application of iterative hybrid MI approach to household survey data with complex dependence structures (Q6171293) (← links)
- Time Series Analysis for Longitudinal Survey Data Under Informative Sampling and Nonignorable Missingness (Q6174117) (← links)
- Nonresponse adjusted estimation based on a composite weighting method in a panel survey (Q6176245) (← links)
- Likelihood-based missing data analysis in crossover trials (Q6178485) (← links)
- Concentration of measure bounds for matrix-variate data with missing values (Q6178556) (← links)
- Optimal nonparametric testing of missing completely at random and its connections to compatibility (Q6183777) (← links)
- Kernel machines with missing covariates (Q6184885) (← links)
- Group Testing Regression Analysis with Missing Data and Imperfect Tests (Q6185127) (← links)
- From Conditional Quantile Regression to Marginal Quantile Estimation with Applications to Missing Data and Causal Inference (Q6190748) (← links)
- A Bayesian approach towards missing covariate data in multilevel latent regression models (Q6198878) (← links)
- Hypothesis testing for mean vector and covariance matrix of multi-populations under a two-step monotone incomplete sample in large sample and dimension (Q6536686) (← links)
- Correcting for non-ignorable missingness in smoking trends (Q6538479) (← links)
- Covariate selection for multilevel models with missing data (Q6540496) (← links)
- Spatial dynamic panel models with missing data (Q6548835) (← links)
- Bayesian joint modeling of binomial and rank response with non-ignorable missing data for primate cognition (Q6549226) (← links)
- Performance evaluation of imputation methods for missing data in logistic regression model: simulation and application (Q6549403) (← links)
- Maximum Likelihood Estimation of Hierarchical Linear Models from Incomplete Data: Random Coefficients, Statistical Interactions, and Measurement Error (Q6552528) (← links)
- Panel design effects on response rates and response quality (Q6552778) (← links)
- Predictive mean matching imputation of semicontinuous variables (Q6552781) (← links)
- Subgroup detection based on partially linear additive individualized model with missing data in response (Q6554266) (← links)
- Imputation (Q6562674) (← links)
- Robust multipe imputation with GAM (Q6570351) (← links)
- Doubly weighted mean score estimating functions with a partially observed effect modifier (Q6571718) (← links)
- Estimation and variable selection for single-index models with non ignorable missing data (Q6573049) (← links)
- Inferential implications of over-parametrization: a case study in incomplete categorical data (Q6573737) (← links)
- A review of hot deck imputation for survey non-response (Q6574875) (← links)
