Pages that link to "Item:Q4937284"

The following pages link to Miscellanea. Small-sample degrees of freedom with multiple imputation (Q4937284):

Displaying 50 items.

• Handling attrition in longitudinal studies: the case for refreshment samples (Q252761) (← links)
• Multiple imputation in three or more stages (Q286474) (← links)
• Calibrated Bayes, for statistics in general, and missing data in particular (Q449806) (← links)
• Discussion of ``Calibrated Bayes, for statistics in general, and missing data in particular'' by R. Little (Q449809) (← links)
• A comparison of posterior simulation and inference by combining rules for multiple imputation (Q452512) (← links)
• Empirical likelihood method for quantiles with response data missing at random (Q511170) (← links)
• MIMCA: multiple imputation for categorical variables with multiple correspondence analysis (Q518262) (← links)
• Survey item nonresponse and its treatment (Q862794) (← links)
• Conceptual, computational and inferential benefits of the missing data perspective in applied and theoretical statistical problems (Q878277) (← links)
• Two-way imputation: a Bayesian method for estimating missing scores in tests and questionnaires, and an accurate approximation (Q1020046) (← links)
• Multiply imputing missing values in data sets with mixed measurement scales using a sequence of generalised linear models (Q1659480) (← links)
• Using mixtures of \(t\) densities to make inferences in the presence of missing data with a small number of multiply imputed data sets (Q1663148) (← links)
• Multiple imputation: a review of practical and theoretical findings (Q1799338) (← links)
• Finite sample properties of multiple imputation estimators. (Q1879954) (← links)
• A new approach for disclosure control in the IAB establishment panel -- multiple imputation for a better data access (Q2006871) (← links)
• Power calculation in multiply imputed data (Q2066508) (← links)
• Maximum likelihood multiple imputation: faster imputations and consistent standard errors without posterior draws (Q2075697) (← links)
• General and feasible tests with multiply-imputed datasets (Q2131261) (← links)
• Standardized regression coefficients and newly proposed estimators for \({R}^{{2}}\) in multiply imputed data (Q2195818) (← links)
• Estimation within the new integrated system of household surveys in Germany (Q2208416) (← 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)
• Working with missing data: imputation of nonresponse items in categorical survey data with a non-monotone missing pattern (Q2336377) (← links)
• Comparison of methods for incomplete repeated measures data analysis in small samples (Q2581813) (← links)
• Robust regression with compositional covariates including cellwise outliers (Q2673343) (← links)
• Neuro-cognitive models of single-trial EEG measures describe latent effects of spatial attention during perceptual decision making (Q2677699) (← links)
• Why the Naive Bayesian Classifier for Clinical Diagnostics or Monitoring Can Dominate the Proper One Even for Massive Data Sets (Q2787331) (← links)
• Multiple Imputation for Multivariate Data with Missing and Below‐Threshold Measurements: Time‐Series Concentrations of Pollutants in the Arctic (Q3078676) (← links)
• Quantifying the impact of fixed effects modeling of clusters in multiple imputation for cluster randomized trials (Q3084181) (← links)
• (Q3146112) (← links)
• Imputation in Data Fusion of Heterogeneous Data Sets A Model-Based Numerical Experiment (Q3527763) (← links)
• Multiple imputation of missing data with ante-dependence covariance structure (Q3591977) (← links)
• <i>M</i>-Estimators Based on Inverse Probability Weighted Estimating Equations with Response Missing at Random (Q3593532) (← links)
• Analyses that Inform Policy Decisions (Q4649037) (← links)
• Multiple Imputation: Theory and Method (Q4832067) (← links)
• Analysis of Longitudinal Clinical Trials with Missing Data Using Multiple Imputation in Conjunction with Robust Regression (Q4911951) (← links)
• Multiple Improvements of Multiple Imputation Likelihood Ratio Tests (Q5089456) (← links)
• Missing data methods for arbitrary missingness with small samples (Q5138515) (← links)
• Improved methods for estimating fraction of missing information in multiple imputation (Q5193294) (← links)
• Multiple imputation for continuous variables using a Bayesian principal component analysis (Q5222464) (← links)
• A comparative study of doubly robust estimators of the mean with missing data (Q5300732) (← links)
• Small-sample degrees of freedom for multi-component significance tests with multiple imputation for missing data (Q5449370) (← links)
• An Examination of Discrepancies in Multiple Imputation Procedures Between SAS® and SPSS® (Q5868168) (← links)
• Are Independent Parameter Draws Necessary for Multiple Imputation? (Q5877125) (← links)
• Combining Item Response Theory with Multiple Imputation to Equate Health Assessment Questionnaires (Q6056311) (← links)
• Improved generalized raking estimators to address dependent covariate and failure‐time outcome error (Q6091680) (← links)
• Groundwater usage and strategic complements. I. (Instrumental Variables) (Q6105137) (← links)
• Linear mixed models for complex survey data: implementing and evaluating pairwise likelihood (Q6548932) (← links)
• Imputation (Q6562674) (← links)
• Multiple imputation procedures for estimating causal effects with multiple treatments with application to the comparison of healthcare providers (Q6622227) (← links)
• Toward a standardized evaluation of imputation methodology (Q6625355) (← links)