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Stata Multiple-Imputation Reference Manual: Release 11 Revised ed. [Kõva köide]

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  • Formaat: Hardback, 270 pages, Illustrations, unspecified
  • Ilmumisaeg: 21-Apr-2010
  • Kirjastus: Stata Press
  • ISBN-10: 159718070X
  • ISBN-13: 9781597180702
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Stata Multiple-Imputation Reference Manual: Release 11 Revised ed.Suurem pilt
  • Formaat: Hardback, 270 pages, Illustrations, unspecified
  • Ilmumisaeg: 21-Apr-2010
  • Kirjastus: Stata Press
  • ISBN-10: 159718070X
  • ISBN-13: 9781597180702
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781597180702.html
Märksõnad:
Introduction to multiple-imputation analysis 1(13)
Introduction to mi 14(7)
Estimation commands for use with mi estimate
21(3)
Add imputations from another im dataset
24(3)
Append mi data
27(3)
Change style of mi data
30(3)
Copy mi flongsep data
33(2)
Describe mi data
35(4)
Erase mi datasets
39(1)
Estimation using multiple imputations
40(19)
Estimation using previously saved estimation results
59(7)
Postestimation tools for mi estimate
66(8)
Expand mi data
74(1)
Export mi data
75(1)
Export mi data to ice format
76(2)
Export mi data to NHANES format
78(3)
Extract original or imputed data from mi data
81(2)
Import data into mi
83(3)
Import flong-like data into mi
86(3)
Import flongsep-like data into mi
89(4)
Import ice-format data into mi
93(4)
Import NHANES-format data into mi
97(5)
Import wide-like data into mi
102(3)
Imput missing values
105(14)
Impute using logistic regression
119(5)
Impute using multinomial logistic regression
124(5)
Impute missing values in monotone data
129(16)
Impute using multivariate normal regression
145(26)
Impute using ordered logistic regression
171(5)
Impute using predictive mean matching
176(5)
Impute using linear regression
181(5)
Merge mi data
186(4)
Tabulate pattern of missing values
190(2)
Generate/replace and register passive variables
192(5)
Load parameter-trace file into Stata
197(3)
Rename variable
200(3)
Replace original data
203(2)
Reset imputed or passive variables
205(2)
Reshape mi data
207(2)
Programmer's alternative to mi extract
209(2)
Declare multiple-imputation data
211(4)
Stsplit and stjoin mi data
215(2)
Ensure that mi data are consistent
217(3)
Identify variables that vary across imputations
220(3)
Execute command(s) on individual imputations
223(3)
Declare mi data to be svy, st, ts, xt, etc.
226(2)
The noupdate option
228(2)
Dataset styles
230(8)
Details for programmers
238(12)
Suggested workflow
250(10)
Glossary 260(5)
Subject and author index 265