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- Stata 13 performant software download pcmac
- http://bitshare.com/files/adzfxdtl/Stata-13-performant-software-download-pc-mac.rar.html
- Introduction to multiple-imputation analysis
- intro Introduction to mi
- estimation Estimation commands for use with mi estimate Stata 13 performant software download pc/mac
- mi add Add imputations from another mi dataset
- mi append Append mi data
- mi convert Change style of mi data
- mi copy Copy mi flongsep data
- mi describe Describe mi data
- mi erase Erase mi datasets
- mi estimate Estimation using multiple imputations
- mi estimate using Estimation using previously saved estimation results
- mi estimate postestimation Postestimation tools for mi estimate
- mi expand Expand mi data
- mi export Export mi data
- mi export ice Export mi data to ice format
- mi export nhanes1 Export mi data to NHANES format
- mi extract Extract original or imputed data from mi Stata 13 performant software download pc/macdata
- mi import Import data into mi
- mi import flong Import flong-like data into mi
- mi import flongsep Import flongsep-like data into mi
- mi import ice Import ice-format data into mi
- mi import nhanes1 Import NHANES-format data into mi
- mi import wide Import wide-like data into mi
- mi impute Impute missing values
- mi impute chained Impute missing values using chained equations
- mi impute intreg Impute using interval regression
- mi impute logit Impute using logistic regression
- mi impute mlogit Impute using multinomial logistic regression
- mi impute monotone Impute missing values in monotone data
- mi impute mvn Impute using multivariate normal regression
- mi impute nbreg Impute using negative binomial regression
- mi impute ologit Impute using ordered logistic regression
- mi impute pmm Impute using predictive mean matching
- mi impute poisson Impute using Poisson regression
- mi impute regress Impute using linear regression
- mi impute truncreg Impute using truncated regression
- mi merge Merge mi data
- mi misstable Tabulate pattern of missing values
- mi passive Generate/replace and register passive variables
- mi predict Obtain multiple- Stata 13 performant software download pc/macimputation predictions
- mi ptrace Load parameter-trace file into Stata
- mi rename Rename variable
- mi replace0 Replace original data
- mi reset Reset imputed or passive variables
- mi reshape Reshape mi data
- mi select Programmer's alternative to mi extract
- mi set Declare multiple-imputation data
- mi stsplit stsplit and stjoin for mi data
- mi test Test hypotheses after mi estimate
- mi update Ensure mi data are consistent
- mi varying Identify variables that vary across imputations
- mi xeq Execute command(s) on individual imputations
- mi XXXset Declare mi data to be svy, st, ts, xt, etc.
- noupdate option The noupdate option
- styles Dataset styles
- technical Details for programmers
- workflow Suggested workflow
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