Pages that link to "Item:Q4020600"
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The following pages link to Performing likelihood ratio tests with multiply-imputed data sets (Q4020600):
Displaying 24 items.
- Handling attrition in longitudinal studies: the case for refreshment samples (Q252761) (← links)
- Tests of independence in incomplete multi-way tables using likelihood functions (Q459484) (← links)
- Conceptual, computational and inferential benefits of the missing data perspective in applied and theoretical statistical problems (Q878277) (← links)
- Significance tests for multi-component estimands from multiply imputed, synthetic microdata (Q1772679) (← links)
- Power calculation in multiply imputed data (Q2066508) (← links)
- General and feasible tests with multiply-imputed datasets (Q2131261) (← links)
- Inferences for two-stage multiple imputation for nonresponse (Q2431679) (← links)
- Order selection tests with multiply imputed data (Q2445683) (← links)
- Comparison of methods for incomplete repeated measures data analysis in small samples (Q2581813) (← links)
- Likelihood-based inference with missing data under missing-at-random (Q2815590) (← links)
- Multiple imputation methods for multivariate one-sided tests with missing data (Q2893406) (← links)
- Computational methods to simultaneously compare the predictive values of two diagnostic tests with missing data: <i>EM</i>-<i>SEM</i> algorithms and multiple imputation (Q3390326) (← links)
- Missing covariates in logistic regression, estimation and distribution selection (Q4970600) (← links)
- Multiple Improvements of Multiple Imputation Likelihood Ratio Tests (Q5089456) (← links)
- Small-sample degrees of freedom for multi-component significance tests with multiple imputation for missing data (Q5449370) (← links)
- Imputation and Variable Selection in Linear Regression Models with Missing Covariates (Q5714638) (← links)
- Identifying individual predictive factors for treatment efficacy (Q6055526) (← links)
- Missing data: A statistical framework for practice (Q6091675) (← links)
- Imputation (Q6562674) (← links)
- A unified inference framework for multiple imputation using martingales (Q6593380) (← links)
- Selecting the model for multiple imputation of missing data: just use an IC! (Q6627796) (← links)
- Multiple imputation and test-wise deletion for causal discovery with incomplete cohort data (Q6629322) (← links)
- Efficient analysis of \(Q\)-level nested hierarchical general linear models given ignorable missing data (Q6637417) (← links)
- Order-restricted hypothesis tests for nonlinear mixed-effects models with measurement errors in covariates (Q6642537) (← links)
