The following pages link to (Q4779059):
Displaying 50 items.
- A note on improving the efficiency of inverse probability weighted estimator using the augmentation term (Q2231031) (← links)
- Bias-corrected Kullback-Leibler distance criterion based model selection with covariables missing at random (Q2242002) (← links)
- Communication-efficient distributed \(M\)-estimation with missing data (Q2242030) (← links)
- Semiparametric least-squares regression with doubly-censored data (Q2242178) (← links)
- IPW-based robust estimation of the SAR model with missing data (Q2244497) (← links)
- Unified approach for regression models with nonmonotone missing at random data (Q2245664) (← links)
- Achieving semiparametric efficiency bound in longitudinal data analysis with dropouts (Q2256745) (← links)
- The Rao, Hartley and Cochran scheme with dubious random nonresponse in survey sampling (Q2258180) (← links)
- Imputation of truncated \(p\)-values for meta-analysis methods and its genomic application (Q2258569) (← links)
- Detecting duplicates in a homicide registry using a Bayesian partitioning approach (Q2258589) (← links)
- On modeling repeated binary responses and time-dependent missing covariates (Q2259926) (← links)
- Component models for fuzzy data (Q2260987) (← links)
- An estimating equations approach to fitting latent exposure models with longitudinal health outcomes (Q2270676) (← links)
- Bayesian models to adjust for response bias in survey data for estimating rape and domestic violence rates from the NCVS (Q2271342) (← links)
- The case for the use of multiple imputation missing data methods in stochastic frontier analysis with illustration using English local highway data (Q2272300) (← links)
- Bayesian quantile regression for analyzing ordinal longitudinal responses in the presence of non-ignorable missingness (Q2272450) (← links)
- Unbiased estimator for a covariance matrix in a three-step monotone incomplete sample (Q2272485) (← links)
- An alternative sensitivity approach for longitudinal analysis with dropout (Q2272849) (← links)
- Plug-in marginal estimation under a general regression model with missing responses and covariates (Q2273147) (← links)
- Optimal asymptotic MSE of kernel regression estimate for continuous time processes with missing at random response (Q2273701) (← links)
- Semiparametric temporal process regression of survival-out-of-hospital (Q2274683) (← links)
- Low-rank model with covariates for count data with missing values (Q2274954) (← links)
- Robust estimation of generalized estimating equations with finite mixture correlation matrices and missing covariates at random for longitudinal data (Q2274969) (← links)
- Imputation and post-selection inference in models with missing data: an application to colorectal cancer surveillance guidelines (Q2281190) (← links)
- \(k\)-dominant skyline queries on incomplete data (Q2282048) (← links)
- Estimation of random-effects model for longitudinal data with nonignorable missingness using Gibbs sampling (Q2282596) (← links)
- Predicting missing values: a comparative study on non-parametric approaches for imputation (Q2282599) (← links)
- Estimation for functional partial linear models with missing responses (Q2288757) (← links)
- Robust semi-supervised least squares classification by implicit constraints (Q2290315) (← links)
- Nonparametric procedures for partially paired data in two groups (Q2291346) (← links)
- Learning semiparametric regression with missing covariates using Gaussian process models (Q2297240) (← links)
- An empirical likelihood approach under cluster sampling with missing observations (Q2304239) (← links)
- Logistic regression with missing covariates -- parameter estimation, model selection and prediction within a joint-modeling framework (Q2305304) (← links)
- A mixture latent variable model for modeling mixed data in heterogeneous populations and its applications (Q2316723) (← links)
- Regression imputation in the functional linear model with missing values in the response (Q2317298) (← links)
- Bias reduction using surrogate endpoints as auxiliary variables (Q2317884) (← links)
- Multiple imputation for bounded variables (Q2318849) (← links)
- Zero-inflated power series joint model to analyze count data with missing responses (Q2320765) (← links)
- Bayesian multiple imputation for assay data subject to measurement error (Q2320832) (← links)
- Bias correction methods for misclassified covariates in the Cox model: comparison of five correction methods by simulation and data analysis (Q2320849) (← links)
- On the asymptotic distribution of \(T^2\)-type statistic with two-step monotone missing data (Q2321831) (← links)
- Checking nonparametric component for partially nonlinear model with missing response (Q2322564) (← links)
- Two directional Laplacian pyramids with application to data imputation (Q2326774) (← links)
- Efficient estimators for expectations in nonlinear parametric regression models with responses missing at random (Q2326989) (← links)
- Effects of discontinue rules on psychometric properties of test scores (Q2331151) (← links)
- Average effects based on regressions with a logarithmic link function: a new approach with stochastic covariates (Q2331171) (← links)
- Working with missing data: imputation of nonresponse items in categorical survey data with a non-monotone missing pattern (Q2336377) (← links)
- A novel MM algorithm and the mode-sharing method in Bayesian computation for the analysis of general incomplete categorical data (Q2337327) (← links)
- Techniques for dealing with incomplete data: a tutorial and survey (Q2337405) (← links)
- On missing-at-random mechanism in two-way incomplete contingency tables (Q2339549) (← links)
