<p>Eastern Med, Eastern Mediterranean; Imp, multiple imputation method; Match, matching method.</p
Topic (v): Successful strategies for implementing new editing and imputation method
A new set of tools is described for performing analyses of an ensemble of datasets that includes mul...
Imputation results of E[p*] under the null for different missing data combinations with initial valu...
The method of multiple imputation (MI) is used increasingly for analyzing datasets with missing obse...
The method of multiple imputation (MI) is used increasingly for analyzing datasets with missing obse...
We consider multiple imputation as a procedure iterating over a set of imputed datasets. Based on an...
<p>Presented are the percentage of times the 95% multiple imputation intervals contained the true to...
Replication Data for: "Imputation in U.S. Manufacturing Data and Its Implications for Productivity D...
Brief overview of mi Heart-attack data example Creating multiply-imputed data Managing multiply-impu...
Imputation results of E[p*] under the null for different missing data combinations with initial valu...
We consider three sorts of diagnostics for random imputations: displays of the completed data, which...
We present an update of mim, a program for managing multiply im- puted datasets and performing infer...
<p>(1) Five multiply imputed datasets were created using original data. (2) Backward elimination was...
Kleinke K. Efficient multiple imputation of complex data structures (like multilevel data, zero-infl...
<p>Power estimates of various imputation-based association methods for testing the whole region unde...
Topic (v): Successful strategies for implementing new editing and imputation method
A new set of tools is described for performing analyses of an ensemble of datasets that includes mul...
Imputation results of E[p*] under the null for different missing data combinations with initial valu...
The method of multiple imputation (MI) is used increasingly for analyzing datasets with missing obse...
The method of multiple imputation (MI) is used increasingly for analyzing datasets with missing obse...
We consider multiple imputation as a procedure iterating over a set of imputed datasets. Based on an...
<p>Presented are the percentage of times the 95% multiple imputation intervals contained the true to...
Replication Data for: "Imputation in U.S. Manufacturing Data and Its Implications for Productivity D...
Brief overview of mi Heart-attack data example Creating multiply-imputed data Managing multiply-impu...
Imputation results of E[p*] under the null for different missing data combinations with initial valu...
We consider three sorts of diagnostics for random imputations: displays of the completed data, which...
We present an update of mim, a program for managing multiply im- puted datasets and performing infer...
<p>(1) Five multiply imputed datasets were created using original data. (2) Backward elimination was...
Kleinke K. Efficient multiple imputation of complex data structures (like multilevel data, zero-infl...
<p>Power estimates of various imputation-based association methods for testing the whole region unde...
Topic (v): Successful strategies for implementing new editing and imputation method
A new set of tools is described for performing analyses of an ensemble of datasets that includes mul...
Imputation results of E[p*] under the null for different missing data combinations with initial valu...
DOI
Add to ORKG