User Stef van Buuren

24 votes

Accepted

Multiple imputation for outcome variables

answered Jan 13, 2013 at 0:14

14 votes

Accepted

Multiple imputation with the Amelia package

answered Jan 8, 2013 at 21:06

14 votes

How to get pooled p-values on tests done in multiple imputed datasets?

answered Oct 23, 2013 at 13:51

12 votes

How to impute an ordinal variable with MICE but prevent it from taking one value?

answered Apr 12, 2013 at 22:20

12 votes

Accepted

Multiple imputation and model selection

answered Jan 1, 2013 at 17:37

10 votes

Accepted

When/where to use functional data analysis?

answered Jan 12, 2013 at 22:42

8 votes

Accepted

How can I pool bootstrapped p-values across multiply imputed data sets?

answered Dec 20, 2013 at 16:13

7 votes

Accepted

Factor analysis on multiply imputed data

answered Dec 27, 2012 at 10:34

6 votes

Hot deck imputation: validity of double imputation and selection of deck variables for a regression

answered Jan 28, 2013 at 8:07

6 votes

Accepted

Why does MICE fail for one dataset and not the other?

answered Feb 1, 2013 at 14:42

6 votes

Accepted

Why does MICE fail to impute multilevel data with 2l.norm and 2l.pan?

answered Apr 10, 2013 at 15:09

6 votes

Accepted

Warning:"NAs introduced by coercion" in MICE with unique ID

answered Apr 10, 2013 at 15:36

5 votes

Diagnosing why MICE is crashing R when attempting to impute multilevel data

answered Feb 2, 2013 at 18:38

5 votes

Accepted

Pooling the results of random hot-deck imputation

answered Jan 17, 2013 at 11:58

4 votes

Accepted

Imputation for a zero-inflated negative binomial mixed effects model

answered Jan 17, 2013 at 12:25

4 votes

Accepted

Best method to validate a multiply imputed Cox model with R?

answered Jan 10, 2013 at 7:59

4 votes

How to decide what to do with missing data when doing data analysis?

answered Jan 12, 2013 at 23:03

4 votes

Does every log-linear model have a perfectly equivalent logistic regression?

answered Mar 28, 2013 at 22:23

3 votes

Means of determining monotonicity of missing pattern other than eyeballing? And how monotone is monotone for the purpose of multiple imputation?

answered Jul 3, 2013 at 19:03

3 votes

Accepted

Missing values replacement?

answered Jan 10, 2013 at 6:59

3 votes

What is the advantage of imputation over building multiple models in regression?

answered Mar 2, 2013 at 15:18

2 votes

Imputing a missing variable based on common variables with another data set

answered Mar 22, 2013 at 15:19

2 votes

Estimating two break points in a broken stick model with random effects in R

answered Jan 26, 2013 at 14:03

2 votes

Clustering and variable selection

answered Jan 13, 2013 at 11:36

2 votes

Bootstrapped confidence intervals for the parameters of a linear model applied to multiply imputed data

answered Apr 15, 2013 at 10:54

1 vote

Estimation with transformations of variables after multiple imputation

answered Apr 15, 2013 at 11:34

1 vote

Multiple imputation for variables used to calculate regression weights

answered May 27, 2013 at 19:50

1 vote

Selecting cases for analysis based on multiply imputed values

answered Jul 3, 2013 at 19:14

1 vote

Accepted

Learn a joint distribution from incomplete samples

answered Jul 15, 2013 at 15:40

1 vote

Accepted

Is it possible to calculate variable confidence intervals, conditional on $\hat{Y}$ to address heteroscedasticity?

answered Mar 24, 2013 at 20:24

Stack Exchange Network

31 Answers

Multiple imputation for outcome variables

Multiple imputation with the Amelia package

How to get pooled p-values on tests done in multiple imputed datasets?

How to impute an ordinal variable with MICE but prevent it from taking one value?

Multiple imputation and model selection

When/where to use functional data analysis?

How can I pool bootstrapped p-values across multiply imputed data sets?

Factor analysis on multiply imputed data

Hot deck imputation: validity of double imputation and selection of deck variables for a regression

Why does MICE fail for one dataset and not the other?

Why does MICE fail to impute multilevel data with 2l.norm and 2l.pan?

Warning:"NAs introduced by coercion" in MICE with unique ID

Diagnosing why MICE is crashing R when attempting to impute multilevel data

Pooling the results of random hot-deck imputation

Imputation for a zero-inflated negative binomial mixed effects model

Best method to validate a multiply imputed Cox model with R?

How to decide what to do with missing data when doing data analysis?

Does every log-linear model have a perfectly equivalent logistic regression?

Means of determining monotonicity of missing pattern other than eyeballing? And how monotone is monotone for the purpose of multiple imputation?

Missing values replacement?

What is the advantage of imputation over building multiple models in regression?

Imputing a missing variable based on common variables with another data set

Estimating two break points in a broken stick model with random effects in R

Clustering and variable selection

Bootstrapped confidence intervals for the parameters of a linear model applied to multiply imputed data

Estimation with transformations of variables after multiple imputation

Multiple imputation for variables used to calculate regression weights

Selecting cases for analysis based on multiply imputed values

Learn a joint distribution from incomplete samples

Is it possible to calculate variable confidence intervals, conditional on $\hat{Y}$ to address heteroscedasticity?