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Handling Missing Data
Handling Missing Data
Undergrad and Grad -
By Paull Shocker
Tags: Presentation Outline , Various plots , Assessing missing pattern , Spearman rank correlation , logistic regression , Data analysis missing data - Multiple Imputation , Random hot deck imputation bootstrap , PROC MI and MIANALIZE (SAS) , Transcan function (Hmisc library plus or R) , Conclusions , work , Preliminary analysis , RESPONSE OVERVIEW , Sample size , 2389 , Males , 1097 (45.9%) , Females , 1292 (54.1%) , Observed , 1691 , Missing , 698 (28.8%) , Mean , 0.9129
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Handling Missin...
Undergrad and Grad
By Paull Shocker