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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

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