| intro substantive (pdf) |
Introduction to multiple-imputation analysis |
| intro (pdf) |
Introduction to mi |
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| estimation |
Estimation commands for use with mi estimate |
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| 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 data |
| 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 (pdf) |
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-imputation 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. |
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| noupdate option |
The noupdate option |
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| styles |
Dataset styles |
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| technical |
Details for programmers |
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| workflow |
Suggested workflow |
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| Glossary (pdf) |
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| Subject and author index (pdf) |
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