Subject index - Stata
Subject index - Stata
Subject index - Stata
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76 <strong>Subject</strong> <strong>index</strong><br />
power, continued<br />
nominal, [PSS] intro, [PSS] power, [PSS] power,<br />
graph, [PSS] power, table, [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] power oneway, [PSS] power twoway,<br />
[PSS] power repeated, [PSS] unbalanced<br />
designs, [PSS] Glossary<br />
raise to, function, see arithmetic operators<br />
power and sample-size analysis, [PSS] GUI,<br />
[PSS] power, [PSS] power, graph,<br />
[PSS] power, table, [PSS] power onemean,<br />
[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] power oneway, [PSS] power twoway,<br />
[PSS] power repeated, [PSS] unbalanced<br />
designs, [PSS] Glossary<br />
goals of, [PSS] intro<br />
prospective, [PSS] intro, [PSS] Glossary<br />
retrospective, [PSS] intro, [PSS] Glossary<br />
power autoregressive conditional heteroskedasticity,<br />
[TS] arch<br />
power transformations, [R] boxcox, [R] lnskew0<br />
pperron command, [TS] pperron<br />
pragma, [M-2] pragma, [M-6] Glossary<br />
pragma unset, [M-2] pragma<br />
pragma unused, [M-2] pragma<br />
prais command, [TS] prais, [TS] prais postestimation<br />
Prais–Winsten regression, [TS] prais, [TS] prais<br />
postestimation, [TS] Glossary, [XT] xtpcse<br />
precision, [U] 13.11 Precision and problems therein<br />
predetermined variable, [XT] Glossary<br />
predict command, [P] predict<br />
predict command, [P] ereturn, [P] estimates,<br />
[R] predict, [R] regress postestimation,<br />
[SEM] intro 7, [SEM] example 14,<br />
[SEM] example 28g, [SEM] predict after<br />
gsem, [SEM] predict after sem, [SVY] svy<br />
postestimation, [TE] teffects postestimation,<br />
[U] 20.10 Obtaining predicted values<br />
predict, estat subcommand, [R] exlogistic<br />
postestimation<br />
predict, mi subcommand, [MI] mi predict<br />
predicted values, see postestimation, predicted values<br />
predictions, [R] predict, [R] predictnl, [SVY] svy<br />
postestimation, see multiple imputation,<br />
prediction<br />
obtaining after estimation, [MI] mi predict,<br />
[P] predict<br />
standard error of, [R] glm, [R] predict, [R] regress<br />
postestimation<br />
predictive margins, [SVY] Glossary,<br />
[U] 20.15 Obtaining marginal means, adjusted<br />
predictions, and predictive margins<br />
predictive mean matching imputation, see imputation,<br />
predictive mean matching<br />
predictnl command, [R] predictnl, [SVY] svy<br />
postestimation<br />
predictnl, mi subcommand, [MI] mi predict<br />
prefix command, [R] bootstrap, [R] fp, [R] jackknife,<br />
[R] mfp, [R] nestreg, [R] permute, [R] simulate,<br />
[R] stepwise, [R] xi, [U] 11.1.10 Prefix<br />
commands<br />
Pregibon delta beta influence statistic, see delta beta<br />
influence statistic<br />
preprocessor commands, [R] #review<br />
preserve command, [P] preserve<br />
preserving data, [P] preserve<br />
preserving user’s data, [P] preserve<br />
pretreatment mean, see means, pretreatment<br />
prevalence studies, see case–control data, see crosssectional<br />
study<br />
prevented fraction, [ST] epitab, [ST] Glossary<br />
prewhiten, [XT] Glossary<br />
primary sampling unit, [SVY] svydescribe,<br />
[SVY] svyset, [SVY] Glossary<br />
priming values, [TS] Glossary<br />
principal<br />
component analysis, [MV] pca, [MV] Glossary<br />
factors analysis, [MV] factor<br />
print command, [R] translate<br />
print, graph subcommand, [G-2] graph print<br />
printcolor, set subcommand, [G-2] set printcolor,<br />
[R] set<br />
printf() function, [M-5] printf( )<br />
printing graphs, [G-2] graph print, [G-3] pr options<br />
exporting options, [G-2] graph set<br />
settings, [G-2] graph set<br />
printing, logs (output), [R] translate, [U] 15 Saving<br />
and printing output—log files<br />
prior probabilities, [MV] Glossary<br />
private, [M-2] class<br />
probability<br />
of a type I error, [PSS] intro, [PSS] power,<br />
[PSS] power, graph, [PSS] power, table,<br />
[PSS] power onemean, [PSS] power twomeans,<br />
[PSS] power pairedmeans, [PSS] power<br />
oneproportion, [PSS] power twoproportions,<br />
[PSS] power pairedproportions, [PSS] power<br />
onevariance, [PSS] power twovariances,<br />
[PSS] power onecorrelation, [PSS] power<br />
twocorrelations, [PSS] power oneway,<br />
[PSS] power twoway, [PSS] power repeated,<br />
[PSS] Glossary<br />
of a type II error, [PSS] intro, [PSS] power,<br />
[PSS] power, graph, [PSS] power, table,<br />
[PSS] power onemean, [PSS] power twomeans,<br />
[PSS] power pairedmeans, [PSS] power<br />
oneproportion, [PSS] power twoproportions,<br />
[PSS] power pairedproportions,