Subject index - Stata
Subject index - Stata
Subject index - Stata
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70 <strong>Subject</strong> <strong>index</strong><br />
one-way repeated-measures ANOVA, [PSS] power<br />
repeated, [PSS] Glossary<br />
oneway, power subcommand, [PSS] power oneway<br />
online help, [U] 7 –more– conditions<br />
opaccum, matrix subcommand, [P] matrix accum<br />
open, file subcommand, [P] file<br />
OpenOffice dates, [D] datetime<br />
operating system command, [D] cd, [D] copy, [D] dir,<br />
[D] erase, [D] mkdir, [D] rmdir, [D] shell,<br />
[D] type<br />
operator, [M-2] op arith, [M-2] op assignment,<br />
[M-2] op colon, [M-2] op conditional,<br />
[M-2] op increment, [M-2] op join,<br />
[M-2] op kronecker, [M-2] op logical,<br />
[M-2] op range, [M-2] op transpose,<br />
[M-6] Glossary, [P] matrix define,<br />
[U] 13.2 Operators<br />
difference, [U] 11.4.4 Time-series varlists<br />
lag, [U] 11.4.4 Time-series varlists<br />
lead, [U] 11.4.4 Time-series varlists<br />
order of evaluation, [U] 13.2.5 Order of evaluation,<br />
all operators<br />
seasonal lag, [U] 11.4.4 Time-series varlists<br />
OPG, see outer product of the gradient<br />
oprobit command, [R] oprobit, [R] oprobit<br />
postestimation<br />
oprobit option, see gsem option oprobit<br />
oprobit regression, mixed-effects, [ME] meoprobit<br />
optimization, [M-3] mata set, [M-5] moptimize( ),<br />
[M-5] optimize( ), [M-6] Glossary<br />
optimize() function, [M-5] optimize( )<br />
optimize() function, [M-5] optimize( )<br />
optimize evaluate() function, [M-5] optimize( )<br />
optimize evaluate() function, [M-5] optimize( )<br />
optimize init() function, [M-5] optimize( )<br />
optimize init *() functions, [M-5] optimize( )<br />
optimize query() function, [M-5] optimize( )<br />
optimize result *() functions, [M-5] optimize( )<br />
options, [U] 11 Language syntax<br />
in a programming context, [P] syntax, [P] unab<br />
repeated, [G-4] concept: repeated options<br />
or operator, [U] 13.2.4 Logical operators<br />
Oracle, reading data from, [D] odbc, [U] 21.4 Transfer<br />
programs<br />
order command, [D] order<br />
order statistics, [D] egen, [R] lv<br />
order() function, [M-5] sort( )<br />
ordered<br />
complementary log-log regression, [SEM] Glossary<br />
logistic regression, [ME] meologit, [SEM] Glossary,<br />
[SVY] svy estimation<br />
logistic regression imputation, see imputation,<br />
ordered logistic regression<br />
logit, [R] ologit, [SEM] example 35g<br />
probit, [R] heckoprobit, [R] oprobit,<br />
[SEM] example 35g, [SEM] example 36g<br />
ordered, continued<br />
probit regression, [ME] meoprobit, [SEM] Glossary,<br />
[SVY] svy estimation<br />
probit with sample selection, [SVY] svy estimation<br />
ordering<br />
observations, [D] gsort, [D] sort<br />
variables, [D] order, [D] sort<br />
ordinal model, [SEM] intro 5, [SEM] example 31g,<br />
[SEM] example 32g, [SEM] example 35g,<br />
[SEM] example 36g<br />
ordinal outcome, see outcomes, ordinal<br />
ordinal outcome model, see outcomes, ordinal<br />
ordinary least squares, see linear regression<br />
ordination, [MV] mds, [MV] Glossary<br />
orgtype, [M-2] declarations, [M-6] Glossary<br />
orgtype() function, [M-5] eltype( )<br />
orientationstyle, [G-4] orientationstyle<br />
original data, [MI] Glossary<br />
orthog command, [R] orthog<br />
orthogonal matrix, [M-6] Glossary<br />
orthogonal polynomial, [R] contrast, [R] margins,<br />
contrast, [R] orthog<br />
orthogonal rotation, [MV] factor postestimation,<br />
[MV] rotate, [MV] rotatemat, [MV] Glossary<br />
orthogonal transformation, see orthogonal rotation<br />
orthogonalized impulse–response function, [TS] irf,<br />
[TS] var intro, [TS] vec intro, [TS] vec,<br />
[TS] Glossary<br />
orthonormal basis, [P] matrix svd<br />
orthpoly command, [R] orthog<br />
other graph commands, [G-2] graph other<br />
other, query subcommand, [R] query<br />
outcome model, [TE] etpoisson, [TE] etregress,<br />
[TE] teffects intro advanced, [TE] teffects<br />
aipw, [TE] teffects ipwra, [TE] teffects ra,<br />
[TE] Glossary<br />
outcomes,<br />
binary,<br />
complementary log-log, [R] cloglog,<br />
[XT] xtcloglog<br />
generalized estimating equations, [XT] xtgee<br />
glm for binomial family, [R] binreg, [R] glm<br />
grouped data, [R] glogit<br />
logistic, [R] exlogistic, [R] logistic, [R] logit,<br />
[R] scobit, [XT] xtlogit<br />
probit, [R] biprobit, [R] heckprobit,<br />
[R] hetprobit, [R] ivprobit, [R] probit,<br />
[XT] xtprobit<br />
ROC analysis, [R] rocfit, [R] rocreg<br />
binary, multilevel mixed-effects, [ME] mecloglog,<br />
[ME] meglm, [ME] melogit, [ME] meprobit,<br />
[ME] meqrlogit<br />
categorical,<br />
logistic, [R] asclogit, [R] clogit, [R] mlogit,<br />
[R] nlogit, [R] slogit<br />
probit, [R] asmprobit, [R] mprobit