Subject index - Stata
Subject index - Stata
Subject index - Stata
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14 <strong>Subject</strong> <strong>index</strong><br />
cluster estimator of variance, continued<br />
truncated<br />
negative binomial regression, [R] tnbreg<br />
Poisson regression, [R] tpoisson<br />
regression, [R] truncreg<br />
with endogenous regressors,<br />
instrumental-variables regression, [R] ivregress<br />
Poisson regression, [R] ivpoisson<br />
probit model, [R] ivprobit<br />
tobit model, [R] ivtobit<br />
zero-inflated<br />
negative binomial regression, [R] zinb<br />
Poisson regression, [R] zip<br />
cluster sampling, [P] robust, [ST] stcox, [ST] streg,<br />
[R] bootstrap, [R] bsample, [R] jackknife<br />
clustered, [SEM] Glossary<br />
clustering, see cluster analysis<br />
clustermat, [MV] clustermat<br />
averagelinkage command, [MV] cluster linkage<br />
centroidlinkage command, [MV] cluster linkage<br />
completelinkage command, [MV] cluster linkage<br />
medianlinkage command, [MV] cluster linkage<br />
singlelinkage command, [MV] cluster linkage<br />
stop command, [MV] cluster stop<br />
wardslinkage command, [MV] cluster linkage<br />
waveragelinkage command, [MV] cluster linkage<br />
clusters, duplicating, [D] expandcl<br />
cmdlog<br />
close command, [R] log<br />
command, [R] log, [U] 15 Saving and printing<br />
output—log files<br />
off command, [R] log<br />
on command, [R] log<br />
using command, [R] log<br />
Cmdyhms() function, [D] datetime, [D] functions,<br />
[M-5] date( )<br />
CMI assumption, see conditional mean independence<br />
assumption<br />
cmissing() option, [G-3] cline options,<br />
[G-3] connect options<br />
cnsreg command, [R] cnsreg, [R] cnsreg<br />
postestimation<br />
Cochrane–Orcutt regression, [TS] prais, [TS] Glossary<br />
code, timing, [P] timer<br />
codebook command, [D] codebook<br />
coef[], [U] 13.5 Accessing coefficients and<br />
standard errors<br />
coefficient alpha, [MV] alpha<br />
coefficient of determination, [SEM] estat eqgof,<br />
[SEM] estat ggof, [SEM] estat gof,<br />
[SEM] example 4, [SEM] example 21,<br />
[SEM] methods and formulas for sem,<br />
[SEM] Glossary<br />
coefficient of variation, [R] tabstat, [SVY] estat<br />
coefficients (from estimation),<br />
accessing, [P] ereturn, [P] matrix get,<br />
[U] 13.5 Accessing coefficients and standard<br />
errors<br />
cataloging, [R] estimates<br />
estimated linear combinations, see linear<br />
combinations of estimators<br />
linear combinations of, see linear combinations of<br />
estimators<br />
nonlinear combinations of, see nonlinear<br />
combinations of estimators<br />
testing equality of, [R] test, [R] testnl<br />
coeflegend option, see gsem option coeflegend, see<br />
sem option coeflegend<br />
coeftabresults, set subcommand, [R] set<br />
coefvector, forecast subcommand, [TS] forecast<br />
coefvector<br />
Cofc() function, [D] datetime, [D] functions,<br />
[M-5] date( )<br />
cofC() function, [D] datetime, [D] functions,<br />
[M-5] date( )<br />
Cofd() function, [D] datetime, [D] functions,<br />
[M-5] date( )<br />
cofd() function, [D] datetime, [D] functions,<br />
[M-5] date( )<br />
cohort study, [PSS] intro, [PSS] power, [PSS] power<br />
onemean, [PSS] power twomeans, [PSS] power<br />
pairedmeans, [PSS] power oneproportion,<br />
[PSS] power twoproportions, [PSS] power<br />
pairedproportions, [PSS] power onevariance,<br />
[PSS] power twovariances, [PSS] power<br />
onecorrelation, [PSS] power twocorrelations,<br />
[PSS] Glossary, [ST] epitab, [ST] ltable,<br />
[ST] stcox, [ST] stptime, [ST] strate,<br />
[ST] sttocc, [ST] Glossary<br />
cointegration, [TS] fcast compute, [TS] fcast graph,<br />
[TS] vec intro, [TS] vec, [TS] veclmar,<br />
[TS] vecnorm, [TS] vecrank, [TS] vecstable,<br />
[TS] Glossary<br />
coleq macro extended function, [P] macro<br />
coleq, matrix subcommand, [P] matrix rownames<br />
colfullnames macro extended function, [P] macro<br />
collapse command, [D] collapse<br />
collate() function, [M-5] sort( )<br />
collect statistics, [D] statsby<br />
collinear option, see gsem option collinear<br />
collinear variables, removing, [P] rmcoll<br />
collinearity,<br />
display of omitted variables, [R] set showbaselevels<br />
handling by regress, [R] regress<br />
retaining collinear variables, [R] estimation options,<br />
[R] orthog<br />
variance inflation factors, [R] regress postestimation<br />
colmax() function, [M-5] minmax( )<br />
colmaxabs() function, [M-5] minmax( )<br />
colmin() function, [M-5] minmax( )<br />
colminmax() function, [M-5] minmax( )<br />
colmissing() function, [M-5] missing( )<br />
colnames macro extended function, [P] macro