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intro substantive---Introduction to multiple-imputation analysis |
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1 | (14) |
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intro---Introduction to mi |
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15 | (8) |
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estimation---Estimation commands for use with mi estimate |
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23 | (3) |
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mi add---Add imputations from another mi dataset |
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26 | (3) |
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mi append---Append mi data |
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29 | (3) |
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mi convert---Change style of mi data |
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32 | (3) |
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mi copy---Copy mi flongsep data |
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35 | (2) |
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mi describe---Describe mi data |
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37 | (4) |
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mi erase---Erase mi datasets |
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41 | (1) |
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mi estimate---Estimation using multiple imputations |
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42 | (27) |
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mi estimate using---Estimation using previously saved estimation results |
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69 | (8) |
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mi estimate postestimation---Postestimation tools for mi estimate |
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77 | (2) |
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mi expand---Expand mi data |
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79 | (1) |
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mi export---Export mi data |
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80 | (1) |
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mi export ice---Export mi data to ice format |
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81 | (2) |
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mi export nhanes l---Export mi data to NHANES format |
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83 | (3) |
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mi extract---Extract original or imputed data from mi data |
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86 | (2) |
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mi import---Import data into mi |
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88 | (3) |
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mi import flong---Import flong-like data into mi |
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91 | (3) |
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mi import flongsep---Import flongsep-like data into mi |
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94 | (4) |
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mi import ice---Import ice-format data into mi |
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98 | (4) |
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mi import nhanesl---Import NHANES-format data into mi |
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102 | (5) |
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mi import wide---Import wide-like data into mi |
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107 | (3) |
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mi impute---Impute missing values |
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110 | (25) |
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mi impute chained---Impute missing values using chained equations |
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135 | (27) |
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mi impute intreg---Impute using interval regression |
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162 | (9) |
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mi impute logit---Impute using logistic regression |
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171 | (5) |
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mi impute mlogit---Impute using multinomial logistic regression |
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176 | (5) |
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mi impute monotone---Impute missing values in monotone data |
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181 | (17) |
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mi impute mvn---Impute using multivariate normal regression |
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198 | (26) |
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mi impute nbreg---Impute using negative binomial regression |
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224 | (5) |
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mi impute ologit---Impute using ordered logistic regression |
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229 | (5) |
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mi impute pmm---Impute using predictive mean matching |
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234 | (6) |
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mi impute poisson---Impute using Poisson regression |
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240 | (5) |
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mi impute regress---Impute using linear regression |
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245 | (6) |
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mi impute truncreg---Impute using truncated regression |
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251 | (6) |
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257 | (4) |
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mi misstable---Tabulate pattern of missing values |
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261 | (2) |
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mi passive---Generate/replace and register passive variables |
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263 | (5) |
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mi predict---Obtain multiple-imputation predictions |
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268 | (14) |
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mi ptrace---Load parameter-trace file into Stata |
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282 | (3) |
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mi rename---Rename variable |
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285 | (3) |
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mi replace0---Replace original data |
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288 | (2) |
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mi reset---Reset imputed or passive variables |
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290 | (2) |
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mi reshape---Reshape mi data |
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292 | (2) |
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mi select---Programmer's alternative to mi extract |
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294 | (2) |
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mi set---Declare multiple-imputation data |
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296 | (4) |
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mi stsplit---Stsplit and stjoin mi data |
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300 | (2) |
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mi test---Test hypotheses after mi estimate |
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302 | (8) |
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mi update---Ensure that mi data are consistent |
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310 | (3) |
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mi varying---Identify variables that vary across imputations |
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313 | (3) |
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mi xeq---Execute command(s) on individual imputations |
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316 | (3) |
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mi XXXset---Declare mi data to be svy, st, ts, xt, etc. |
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319 | (2) |
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noupdate option---The noupdate option |
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321 | (2) |
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323 | (8) |
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technical---Details for programmers |
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331 | (12) |
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workflow---Suggested workflow |
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343 | (10) |
| Glossary |
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353 | (6) |
| Subject and author index |
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359 | |
