The following pages link to (Q4779059):
Displaying 50 items.
- Exploratory data structure comparisons: three new visual tools based on principal component analysis (Q5861601) (← links)
- Revisiting regression adjustment in experiments with heterogeneous treatment effects (Q5862418) (← links)
- Joint (<i>k</i>, <i>l</i>)-hurdle random effects models for mixed longitudinal power series and normal outcomes (Q5866046) (← links)
- Weighted empirical likelihood for quantile regression with non ignorable missing covariates (Q5866049) (← links)
- Improved <i>k</i>th power expectile regression with nonignorable dropouts (Q5867698) (← links)
- An Examination of Discrepancies in Multiple Imputation Procedures Between SAS® and SPSS® (Q5868168) (← links)
- Bias Reduction in Logistic Regression with Missing Responses When the Missing Data Mechanism is Nonignorable (Q5868209) (← links)
- Iterative Multiple Imputation: A Framework to Determine the Number of Imputed Datasets (Q5869267) (← links)
- Archetypal Analysis With Missing Data: See All Samples by Looking at a Few Based on Extreme Profiles (Q5869272) (← links)
- Local linear estimator of the conditional hazard function for index model in case of missing at random data (Q5869933) (← links)
- Power for balanced linear mixed models with complex missing data processes (Q5875198) (← links)
- Comparison methods of estimating missing data in real data time series (Q5876827) (← links)
- Regressograms and Mean-Covariance Models for Incomplete Longitudinal Data (Q5876895) (← links)
- Statistical inference for nonignorable missing-data problems: a selective review (Q5879962) (← links)
- Some issues on longitudinal data with nonignorable dropout, a discussion of “Statistical Inference for Nonignorable Missing-Data Problems: A Selective Review” by Niansheng Tang and Yuanyuan Ju (Q5879964) (← links)
- Statistical methods without estimating the missingness mechanism: a discussion of ‘statistical inference for nonignorable missing data problems: a selective review’ by Niansheng Tang and Yuanyuan Ju (Q5879967) (← links)
- An equivalence result for moment equations when data are missing at random (Q5880013) (← links)
- Multivariate small area estimation under nonignorable nonresponse (Q5880015) (← links)
- Nonignorable item nonresponse in panel data (Q5880103) (← links)
- Model averaging for generalized linear models in fragmentary data prediction (Q5880143) (← links)
- Semiparametric fractional imputation using empirical likelihood in survey sampling (Q5880166) (← links)
- Model averaging for generalized linear models with missing at random covariates (Q5880770) (← links)
- Elucidating Age and Sex-Dependent Association Between Frontal EEG Asymmetry and Depression: An Application of Multiple Imputation in Functional Regression (Q5881059) (← links)
- Functional linear model with partially observed covariate and missing values in the response (Q5881431) (← links)
- What are the Most Important Statistical Ideas of the Past 50 Years? (Q5881991) (← links)
- <i>k</i>-POD: A Method for <i>k</i>-Means Clustering of Missing Data (Q5884415) (← links)
- Semiparametric Fractional Imputation Using Gaussian Mixture Models for Handling Multivariate Missing Data (Q5885091) (← links)
- An Empirical Comparison of Multiple Imputation Methods for Categorical Data (Q5885459) (← links)
- Model parameters estimation with non-ignorable missing data using influential exponential tilting resampling approach (Q5887965) (← links)
- Estimating longitudinal change in latent variable means: a comparison of non-negative matrix factorization and other item non-response methods (Q5887971) (← links)
- A stacked approach for chained equations multiple imputation incorporating the substantive model (Q6055490) (← links)
- Combining Item Response Theory with Multiple Imputation to Equate Health Assessment Questionnaires (Q6056311) (← links)
- Improved composite quantile regression and variable selection with nonignorable dropouts (Q6063736) (← links)
- Is there a 'safe area' where the nonresponse rate has only a modest effect on bias despite non‐ignorable nonresponse? (Q6064132) (← links)
- Multi‐source Statistics: Basic Situations and Methods (Q6064346) (← links)
- Using the Fraction of Missing Information to Identify Auxiliary Variables for Imputation Procedures via Proxy Pattern‐mixture Models (Q6064618) (← links)
- Alternative Indicators for the Risk of Non‐response Bias: A Simulation Study (Q6064623) (← links)
- On the impact of missing outcomes in linear regression (Q6066387) (← links)
- Survey Weighting after Imperfect Linkage to an Administrative File (Q6067590) (← links)
- A weighting approach to making inference with probabilistically linked data (Q6067641) (← links)
- Inverse‐probability‐weighted logrank test for stratified survival data with missing measurements (Q6068055) (← links)
- Robust probit linear mixed models for longitudinal binary data (Q6068836) (← links)
- Multiobjective semisupervised learning with a right‐censored endpoint adapted to the multiple imputation framework (Q6068873) (← links)
- A Bayesian multiple imputation method for handling longitudinal pesticide data with values below the limit of detection (Q6069061) (← links)
- Robust Feature Screening via Distance Correlation for Ultrahigh Dimensional Data With Responses Missing at Random (Q6069862) (← links)
- Clustering with missing and left‐censored data: A simulation study comparing multiple‐imputation‐based procedures (Q6071305) (← links)
- Standard error estimates in hierarchical generalized linear models (Q6071707) (← links)
- Bayesian estimation and model comparison for linear dynamic panel models with missing values (Q6081856) (← links)
- H‐likelihood Predictive Intervals for Unobservables (Q6086482) (← links)
- Missing Data: A Unified Taxonomy Guided by Conditional Independence (Q6086557) (← links)
