Stata Quick Reference and Index

Subject index 119
Im–Pesaran–Shin test, [XT] xtunitroot
implied context, class, [P] class
import, mi subcommand, [MI] mi import, [MI] mi
import flong, [MI] mi import flongsep, [MI] mi
import ice, [MI] mi import nhanes1, [MI] mi
import wide
importance weights, [U] 11.1.6 weight,
[U] 20.18.4 Importance weights
importing data, [D] fdasave, [D] infile, [D] infile (fixed
format), [D] infile (free format), [D] infix (fixed
format), [D] insheet, [D] odbc, [D] xmlsave
[MI] mi import, [MI] mi import flong, [MI] mi
import flongsep, [MI] mi import ice, [MI] mi
import nhanes1, [MI] mi import wide,
[U] 21.4 Transfer programs;
impulse–response functions, see IRF
imputation,
binary, [MI] mi impute logit
categorical, [MI] mi impute mlogit, [MI] mi impute
ologit
continuous, [MI] mi impute pmm, [MI] mi impute
regress
linear regression, [MI] mi impute regress
logistic regression, [MI] mi impute logit
modeling, [MI] mi impute
monotone, [MI] mi impute, [MI] mi impute
monotone
multinomial logistic regression, [MI] mi impute
mlogit
multiple, [MI] intro substantive
multivariate, [MI] mi impute monotone, [MI] mi
impute mvn
multivariate monotone, [MI] mi impute, [MI] mi
impute logit, [MI] mi impute mlogit, [MI] mi
impute ologit, [MI] mi impute pmm, [MI] mi
impute regress
multivariate normal, [MI] mi impute mvn
on subsamples, [MI] mi impute
ordered logistic regression, [MI] mi impute ologit
passive variables, [MI] mi impute regress
predictive mean matching, [MI] mi impute, [MI] mi
impute pmm
regression, [MI] mi impute, [MI] mi impute regress
semiparameteric, [MI] mi impute pmm
step, [MI] intro substantive, [MI] mi estimate
transformations, [MI] mi impute
univariate, [MI] mi impute logit, [MI] mi impute
mlogit, [MI] mi impute ologit, [MI] mi impute
pmm, [MI] mi impute regress
imputation method, [MI] mi impute, [MI] mi impute
logit, [MI] mi impute mlogit, [MI] mi impute
ologit, [MI] mi impute pmm, [MI] mi impute
regress
proper, [MI] intro substantive, [MI] mi impute
monotone, [MI] mi impute mvn
imputations, recommended number of, [MI] intro
substantive
impute, mi subcommand, [MI] mi impute, [MI] mi
impute logit, [MI] mi impute mlogit, [MI] mi
impute monotone, [MI] mi impute mvn,
[MI] mi impute ologit, [MI] mi impute pmm,
[MI] mi impute regress,
imputed variables, see variables, imputed
imtest, estat subcommand, [R] regress
postestimation
in range modifier, [P] syntax, [U] 11 Language syntax
in smcl, display directive, [P] display
inbase() function, [M-5] inbase( )
incidence, [ST] Glossary
incidence-rate ratio, [R] poisson, [R] zip, [ST] epitab,
[ST] stci, [ST] stir, [ST] stptime, [ST] stsum
differences, [R] lincom, [R] nlcom
incidence-rate ratio and rate ratio, [SVY] svy
estimation, [XT] xtgee, [XT] xtnbreg,
[XT] xtpoisson
incidence studies, [ST] Glossary
include command, [P] include
income distributions, [R] inequality
income tax rate function, [D] egen
incomplete
beta function, [D] functions, [M-5] normal( )
gamma function, [D] functions, [M-5] normal( )
observations, [MI] Glossary
increment operator, [M-2] op increment
independence of irrelevant alternatives, see IIA
independence tests, see tests
independent and identically distributed, [TS] Glossary
index,
mathematical functions, [M-4] statistical
matrix functions, [M-4] utility
statistical functions, [M-4] statistical
stopping rules, see stopping rules
utility functions, [M-4] utility
index of probit and logit, [R] logit postestimation,
[R] predict, [R] probit postestimation
index search, [R] search, [U] 4 Stata’s help and search
facilities
indexnot() function, [D] functions, [M-5] indexnot( )
indicator variables, [R] anova, [R] areg, [R] xi
indicators, [U] 11.4.3 Factor variables
indirect standardization, [R] dstdize
ineligible missing values, [MI] Glossary
inequality measures, [R] inequality
inertia, [MV] Glossary
inertia, estat subcommand, [MV] ca postestimation
infile command, [D] infile (fixed format), [D] infile
(free format); [D] infile
infix command, [D] infix (fixed format); [D] infile
influence statistics, [R] logistic postestimation,
[R] predict, [R] regress postestimation
%infmt, [D] infile (fixed format)
information
criteria, see AIC, BIC
matrix, [P] matrix get, [R] correlate, [R] maximize
matrix test, [R] regress postestimation