Subject index - Stata
Subject index - Stata
Subject index - Stata
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32 <strong>Subject</strong> <strong>index</strong><br />
estimation<br />
allowed estimation commands, [MI] estimation<br />
commands, [P] ereturn, [P] estimates,<br />
[U] 18.9 Accessing results calculated by<br />
estimation commands, [U] 26 Overview of<br />
<strong>Stata</strong> estimation commands<br />
allowing constraints in, [P] makecns<br />
eliminating stored information from, [P] discard<br />
obtaining predictions after, [P] predict<br />
obtaining robust estimates, [P] robust<br />
saving results from, [P] estimates<br />
degrees of freedom for coefficients, [MI] mi<br />
estimate<br />
method, [SEM] Glossary<br />
options, [R] estimation options, [SEM] gsem<br />
estimation options, [SEM] sem estimation<br />
options<br />
posting VCE, [MI] mi estimate<br />
predictions after, see predictions, obtaining after<br />
estimation<br />
results,<br />
clearing, [P] ereturn, [P] estimates,<br />
[R] estimates store<br />
listing, [P] ereturn, [P] estimates<br />
saving, [P] estimates<br />
storing, [P] ereturn<br />
storing and restoring, [R] estimates store<br />
tables of, [R] estimates table<br />
sample, summarizing, [R] estat, [R] estat<br />
summarize<br />
test after, [MI] mi estimate, [MI] mi test<br />
estimators,<br />
covariance matrix of, [P] ereturn, [P] matrix<br />
get, [R] correlate, [R] estat, [R] estat vce,<br />
[U] 20.9 Obtaining the variance–covariance<br />
matrix<br />
linear combinations, [U] 20.13 Obtaining linear<br />
combinations of coefficients<br />
linear combinations of, [R] lincom<br />
nonlinear combinations of, [R] nlcom<br />
etiologic fraction, [ST] epitab<br />
etpoisson command, [TE] etpoisson, [TE] etpoisson<br />
postestimation<br />
etregress command, [TE] etregress, [TE] etregress<br />
postestimation<br />
Euclidean dissimilarity measure,<br />
[MV] measure option<br />
Euclidean distance, [MV] Glossary<br />
event, [ST] Glossary<br />
event history analysis, see survival analysis<br />
event of interest, [ST] Glossary<br />
Ex, [SEM] sem and gsem option covstructure( )<br />
exact binomial test, see binomial test<br />
exact statistics, [U] 26.12 Exact estimators<br />
binary confidence intervals, [R] ci, [R] exlogistic,<br />
[R] roctab<br />
centiles, [R] centile<br />
indirect standardization, [R] dstdize<br />
exact statistics, continued<br />
one-way anova, [R] loneway<br />
regression, [R] exlogistic, [R] expoisson<br />
test,<br />
binomial probability, [R] bitest<br />
equality of distributions, [R] ksmirnov<br />
equality of medians, [R] ranksum<br />
Fisher’s, [R] tabulate twoway<br />
symmetry and marginal homogeneity,<br />
[R] symmetry<br />
tetrachoric correlations, [R] tetrachoric<br />
exact test, [PSS] Glossary<br />
example datasets, [U] 1.2.2 Example datasets<br />
examples, duplicates subcommand, [D] duplicates<br />
excel,<br />
export subcommand, [D] import excel<br />
import subcommand, [D] import excel<br />
Excel, [U] 21 Entering and importing data<br />
dates, [D] datetime<br />
Microsoft, reading data from, [D] import excel,<br />
[D] odbc, [D] xmlsave, also see spreadsheets,<br />
transferring<br />
Microsoft, write results to, [P] putexcel<br />
excess fraction, [ST] epitab<br />
exec(), odbc subcommand, [D] odbc<br />
existence, confirm subcommand, [P] confirm<br />
exit class program, [P] class exit<br />
exit command, [P] capture, [P] exit, [R] exit,<br />
[U] 16.1.4 Error handling in do-files<br />
exit Mata, [M-3] end<br />
exiting <strong>Stata</strong>, see exit command<br />
exit() function, [M-5] exit( )<br />
exit, class subcommand, [P] class exit<br />
exlogistic command, [R] exlogistic, [R] exlogistic<br />
postestimation<br />
exogeneity test, see endogeneity test<br />
exogenous, forecast subcommand, [TS] forecast<br />
exogenous<br />
exogenous variable, [SEM] intro 4, [SEM] Glossary,<br />
[TS] Glossary, [XT] Glossary<br />
exp, [M-2] exp, [M-6] Glossary<br />
=exp, [U] 11 Language syntax<br />
exp() function, [D] functions, [M-5] exp( )<br />
exp list, [SVY] svy bootstrap, [SVY] svy brr,<br />
[SVY] svy jackknife, [SVY] svy sdr,<br />
[TS] rolling<br />
expand command, [D] expand<br />
expand factor varlists, [P] fvexpand<br />
expand for mi data, [MI] mi expand<br />
expand, mi subcommand, [MI] mi expand<br />
expandcl command, [D] expandcl<br />
expectation-maximization algorithm, [MI] mi impute<br />
mvn, [MI] Glossary<br />
parameter trace files, [MI] mi ptrace<br />
expected information matrix, [SEM] Glossary