The following pages link to (Q4779059):
Displaying 50 items.
- Feature screening for ultrahigh-dimensional survival data when failure indicators are missing at random (Q2065267) (← links)
- Semi-parametric regression when some (expensive) covariates are missing by design (Q2065301) (← links)
- Power calculation in multiply imputed data (Q2066508) (← links)
- Sure independence screening in the presence of missing data (Q2066525) (← links)
- Unsupervised domain adaptation with non-stochastic missing data (Q2066667) (← links)
- A split questionnaire survey design in the context of statistical matching (Q2066706) (← links)
- Is EM really necessary here? Examples where it seems simpler not to use EM (Q2068900) (← links)
- Generalized partial linear models with nonignorable dropouts (Q2075033) (← links)
- Statistical file-matching of non-Gaussian data: a game theoretic approach (Q2076147) (← links)
- Bayesian profiling multiple imputation for missing hemoglobin values in electronic health records (Q2078766) (← links)
- Weighted local polynomial estimations of a non-parametric function with censoring indicators missing at random and their applications (Q2080932) (← links)
- Estimation and inferences for varying coefficient partially nonlinear quantile models with censoring indicators missing at random (Q2095711) (← links)
- An evaluation of methods to handle missing data in the context of latent variable interaction analysis: multiple imputation, maximum likelihood, and random forest algorithm (Q2103281) (← links)
- Finite mixture modeling of censored and missing data using the multivariate skew-normal distribution (Q2103847) (← links)
- Robust clustering via mixtures of \(t\) factor analyzers with incomplete data (Q2103856) (← links)
- Generalized maximum likelihood estimation of the mean of parameters of mixtures. With applications to sampling and to observational studies (Q2106786) (← links)
- A class of weighted estimating equations for additive hazard models with covariates missing at random (Q2115300) (← links)
- Pattern graphs: a graphical approach to nonmonotone missing data (Q2119222) (← links)
- A propensity score adjustment method for longitudinal time series models under nonignorable nonresponse (Q2122815) (← links)
- Missing responses at random in functional single index model for time series data (Q2122835) (← links)
- Bayesian semiparametric modeling of response mechanism for nonignorable missing data (Q2125476) (← links)
- Empirical likelihood for varying coefficient partially nonlinear model with missing responses (Q2130773) (← links)
- An efficient estimation for the parameter in additive partially linear models with missing covariates (Q2131935) (← links)
- Estimation of semiparametric varying-coefficient spatial autoregressive models with missing in the dependent variable (Q2131960) (← links)
- Bayesian algorithm based on auxiliary variables for estimating item response theory models with non-ignorable missing response data (Q2132038) (← links)
- Regression analysis of additive hazards model with sparse longitudinal covariates (Q2134159) (← links)
- Accounting for drop-out using inverse probability censoring weights in longitudinal clustered data with informative cluster size (Q2135387) (← links)
- Robust model selection with covariables missing at random (Q2135520) (← links)
- A Bayesian algorithm based on auxiliary variables for estimating GRM with non-ignorable missing data (Q2135926) (← links)
- Mallows model averaging with effective model size in fragmentary data prediction (Q2143019) (← links)
- Smoothed partially linear quantile regression with nonignorable missing response (Q2151592) (← links)
- Efficient and robust estimation for autoregressive regression models using shape mixtures of skew \(t\) normal distribution (Q2157393) (← links)
- Efficient estimation in a partially specified nonignorable propensity score model (Q2157489) (← links)
- A new approach to estimation of the proportional hazards model based on interval-censored data with missing covariates (Q2163804) (← links)
- A simple approach to construct confidence bands for a regression function with incomplete data (Q2176328) (← links)
- Estimation of the volume under the ROC surface in presence of nonignorable verification bias (Q2176346) (← links)
- Nonresponse bias adjustment in regression analysis (Q2176424) (← links)
- New \(G\)-formula for the sequential causal effect and blip effect of treatment in sequential causal inference (Q2176611) (← links)
- Bayesian factor models for probabilistic cause of death assessment with verbal autopsies (Q2179963) (← links)
- Can \(p\)-values be meaningfully interpreted without random sampling? (Q2191897) (← links)
- Determining the number of components in PLS regression on incomplete data set (Q2195279) (← links)
- Standardized regression coefficients and newly proposed estimators for \({R}^{{2}}\) in multiply imputed data (Q2195818) (← links)
- Incomplete-data Fisher scoring method with steplength adjustment (Q2195833) (← links)
- Copula-based regression models with data missing at random (Q2201548) (← links)
- Nonparametric quantile regression estimation for functional data with responses missing at random (Q2202046) (← links)
- Multiple imputation and functional methods in the presence of measurement error and missingness in explanatory variables (Q2203420) (← links)
- The conditional censored graphical Lasso estimator (Q2209704) (← links)
- Kernel machines with missing responses (Q2209830) (← links)
- Variable selection techniques after multiple imputation in high-dimensional data (Q2220289) (← links)
- An improvement on the efficiency of complete-case-analysis with nonignorable missing covariate data (Q2228216) (← links)
