Subject index - Stata

Subject index 95
stability, [TS] var intro, [TS] var, [TS] var svar,
[TS] vecstable
after ARIMA, [TS] estat aroots
after VAR or SVAR, [TS] varstable
after VEC, [TS] vec intro, [TS] vec
of nonrecursive models, see nonrecursive model,
stability of
stable unit treatment value assumption, [TE] teffects
intro advanced
stable, estat subcommand, [SEM] estat stable
stack command, [D] stack
stacked variables, [MV] Glossary
stacking data, [D] stack
stacking variables, [MV] Glossary
stairstep, connecting points with, [G-4] connectstyle
standard deviations, [PSS] intro, [PSS] power,
[PSS] power onevariance, [PSS] power
twovariances
control-group, [PSS] intro, [PSS] power,
[PSS] power twovariances
creating
dataset of, [D] collapse
variable containing, [D] egen
displaying, [R] lv, [R] summarize, [R] table,
[R] tabstat, [R] tabulate, summarize(),
[XT] xtsum
experimental-group, [PSS] intro, [PSS] power,
[PSS] power twovariances
independent, see standard deviations, two-sample
one-sample, [PSS] intro, [PSS] power, [PSS] power
onevariance
subpopulations, see subpopulation, standard
deviations of
testing equality of, [R] sdtest
two-sample, [PSS] intro, [PSS] power, [PSS] power
twovariances
standard error bar charts, [G-2] graph other
standard errors, see gsem option vce(), see sem option
vce()
accessing, [P] matrix get, [U] 13.5 Accessing
coefficients and standard errors
balanced repeated replication, see balanced repeated
replication standard errors
bootstrap, see bootstrap standard errors
for general predictions, [R] predictnl
forecast, [R] predict, [R] regress postestimation
jackknife, see jackknife standard errors
mean, [R] ci, [R] mean
panel-corrected, see panel-corrected standard error
prediction, [R] glm, [R] predict, [R] regress
postestimation
residuals, [R] predict, [R] regress postestimation
robust, see robust, Abadie–Imbens standard errors,
see robust, Huber/White/sandwich estimator of
variance
semirobust, see semirobust standard errors
successive difference replication, see successive
difference replication standard errors
standard linear SEM, [SEM] Glossary
standard strata, see direct standardization
standard weights, see direct standardization
standardized
coefficients, [SEM] example 3, [SEM] example 6,
[SEM] Glossary, also see standardized
parameters
covariance, [SEM] Glossary
covariance residual, [SEM] methods and formulas
for sem
data, [MV] Glossary
difference, [PSS] intro, [PSS] power, [PSS] power
onemean, [PSS] power twomeans, [PSS] power
pairedmeans
incidence ratio, [R] dstdize
margins, [R] margins
mean residual, [SEM] methods and formulas for
sem
means, [R] mean
mortality ratio, [R] dstdize, [ST] epitab,
[ST] stptime, [ST] Glossary
option, [SEM] example 11
parameters, [SEM] estat stdize, [SEM] methods and
formulas for sem
proportions, [R] proportion
rates, [R] dstdize, [ST] epitab
ratios, [R] ratio
residuals, [R] binreg postestimation, [R] glm
postestimation, [R] logistic postestimation,
[R] logit postestimation, [R] predict, [R] regress
postestimation, [SEM] estat residuals,
[SEM] methods and formulas for sem,
[SEM] Glossary
root mean squared residual, [SEM] estat
ggof, [SEM] estat gof, [SEM] example 4,
[SEM] example 21, [SEM] methods and
formulas for sem
standardized option, see sem option standardized
standardized, variables, [D] egen
start() option, [G-2] graph twoway histogram
startgrid() option, see gsem option startgrid()
starting values, [SEM] intro 12, [SEM] sem and gsem
option from( ), [SEM] sem and gsem path
notation, [SEM] sem path notation extensions,
[SEM] Glossary
startvalues() option, see gsem option
startvalues()
Stata
Blog, [U] 3.2.3 The Stata Blog—Not Elsewhere
Classified
c-class results, [M-5] st global( )
characteristic, [M-5] st global( ), [M-5] st dir( )
conference, [U] 3.7.1 Conferences and users group
meetings
description, [U] 2 A brief description of Stata
documentation, [U] 1 Read this — it will help