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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

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