Subject index - Stata

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78 Subject index proportional hazards models, [ST] Glossary, [SVY] svy estimation, also see Cox proportional hazards model, also see survival analysis odds assumption, [R] ologit relaxed, [R] slogit odds model, [R] ologit sampling, [D] sample, [R] bootstrap proportions, [PSS] intro, [PSS] power, [PSS] power oneproportion, [PSS] power twoproportions, [PSS] power pairedproportions confidence intervals for, [R] ci control-group, [PSS] intro, [PSS] power, [PSS] power twoproportions correlated, see proportions, paired discordant, [PSS] intro, [PSS] power, [PSS] power pairedproportions estimating, [R] proportion experimental-group, [PSS] intro, [PSS] power, [PSS] power twoproportions independent, see proportions, two-sample marginal, [PSS] intro, [PSS] power, [PSS] power pairedproportions, [PSS] Glossary one-sample, [PSS] intro, [PSS] power, [PSS] power oneproportion paired, [PSS] intro, [PSS] power, [PSS] power pairedproportions survey data, [SVY] svy estimation, [SVY] svy: tabulate oneway, [SVY] svy: tabulate twoway testing equality of, [R] bitest, [R] prtest two-sample, [PSS] intro, [PSS] power, [PSS] power twoproportions, [PSS] power pairedproportions prospective study, [PSS] intro, [PSS] power, [PSS] power onemean, [PSS] power twomeans, [PSS] power pairedmeans, [PSS] power oneproportion, [PSS] power twoproportions, [PSS] power pairedproportions, [PSS] power onevariance, [PSS] power twovariances, [PSS] power onecorrelation, [PSS] power twocorrelations, [PSS] Glossary, [ST] epitab, [ST] Glossary, also see incidence studies protected, [M-2] class proximity, [MV] Glossary prtest command, [R] prtest prtesti command, [R] prtest psdensity command, [TS] psdensity pseudo R-squared, [R] maximize pseudofunctions, [D] datetime, [D] functions pseudoinverse, [M-5] pinv( ) pseudolikelihood, [SVY] Glossary pseudosigmas, [R] lv psi function, [D] functions psmatch, teffects subcommand, [TE] teffects psmatch PSS analysis, see power and sample-size analysis PSS Control Panel, [PSS] GUI, [PSS] Glossary pstyle, [G-4] pstyle pstyle() option, [G-2] graph twoway scatter, [G-3] rspike options, [G-4] pstyle PSU, see primary sampling unit .ptrace file, [MI] mi impute mvn, [MI] mi ptrace ptrace, mi subcommand, [MI] mi ptrace public, [M-2] class push, window subcommand, [P] window programming, [P] window push putexcel clear command, [P] putexcel command, [P] putexcel describe command, [P] putexcel set command, [P] putexcel putmata command, [D] putmata p-value, [PSS] intro, [PSS] Glossary pwcompare command, [R] pwcompare, [R] pwcompare postestimation, [SEM] intro 7, [SVY] svy postestimation, [U] 20.17 Obtaining pairwise comparisons pwcorr command, [R] correlate pwd command, [D] cd pwd() function, [M-5] chdir( ) pweight, see sampling weight [pweight=exp] modifier, [U] 11.1.6 weight, [U] 20.23.3 Sampling weights pwmean command, [R] pwmean, [R] pwmean postestimation pyramid, population, [G-2] graph twoway bar Q Q–Q plot, [R] diagnostic plots Q statistic, see portmanteau statistic qc charts, see quality control charts qchi command, [R] diagnostic plots QDA, see quadratic discriminant analysis qda, discrim subcommand, [MV] discrim qda qfit, graph twoway subcommand, [G-2] graph twoway qfit qfitci, graph twoway subcommand, [G-2] graph twoway qfitci qladder command, [R] ladder QML, see quasimaximum likelihood qnorm command, [R] diagnostic plots qofd() function, [D] datetime, [D] functions, [M-5] date( ) qqplot command, [R] diagnostic plots QR decomposition, [M-5] qrd( ), [ME] meqrlogit, [ME] meqrpoisson, [ME] Glossary qrd() function, [M-5] qrd( ) qrdp() function, [M-5] qrd( ) qreg command, [R] qreg, [R] qreg postestimation qrinv() function, [M-5] qrinv( ) qrinv() function, [M-5] qrinv( ) qrsolve() function, [M-5] qrsolve( ) qrsolve() function, [M-5] qrsolve( ) qtolerance() option, [R] maximize
Subject index 79 quad precision, [M-5] mean( ), [M-5] quadcross( ), [M-5] runningsum( ), [M-5] sum( ) quadchk command, [XT] quadchk quadcolsum() function, [M-5] sum( ) quadcorrelation() function, [M-5] mean( ) quadcross() function, [M-5] quadcross( ) quadcrossdev() function, [M-5] quadcross( ) quadmeanvariance() function, [M-5] mean( ) quadrant() function, [M-5] sign( ) quadratic discriminant analysis, [MV] discrim qda, [MV] Glossary quadratic terms, [SVY] svy postestimation quadrature, [SEM] Glossary, [XT] Glossary Gauss–Hermite, [ME] me, [ME] mecloglog, [ME] meglm, [ME] melogit, [ME] menbreg, [ME] meologit, [ME] meoprobit, [ME] mepoisson, [ME] meprobit, [ME] meqrlogit, [ME] meqrpoisson, [ME] mixed, [ME] Glossary, [SEM] methods and formulas for gsem, [XT] quadchk mean–variance adaptive Gauss–Hermite, [ME] me, [ME] mecloglog, [ME] meglm, [ME] melogit, [ME] menbreg, [ME] meologit, [ME] meoprobit, [ME] mepoisson, [ME] meprobit, [ME] meqrlogit, [ME] meqrpoisson, [ME] mixed, [ME] Glossary, [SEM] methods and formulas for gsem mode-curvature adaptive Gauss–Hermite, [ME] me, [ME] mecloglog, [ME] meglm, [ME] melogit, [ME] menbreg, [ME] meologit, [ME] meoprobit, [ME] mepoisson, [ME] meprobit, [ME] meqrlogit, [ME] meqrpoisson, [ME] mixed, [ME] Glossary, [SEM] methods and formulas for gsem nonadaptive Gauss–Hermite, see quadrature, Gauss– Hermite quadrowsum() function, [M-5] sum( ) quadrunningsum() function, [M-5] runningsum( ) quadrunningsum() function, [M-5] runningsum( ) quadsum() function, [M-5] sum( ) quadvariance() function, [M-5] mean( ) qualitative dependent variables, [ME] mecloglog, [ME] meglm, [ME] melogit, [ME] meologit, [ME] meoprobit, [ME] meprobit, [ME] meqrlogit, [R] asclogit, [R] asmprobit, [R] asroprobit, [R] binreg, [R] biprobit, [R] brier, [R] clogit, [R] cloglog, [R] cusum, [R] exlogistic, [R] glm, [R] glogit, [R] heckoprobit, [R] heckprobit, [R] hetprobit, [R] ivprobit, [R] logistic, [R] logit, [R] mlogit, [R] mprobit, [R] nlogit, [R] ologit, [R] oprobit, [R] probit, [R] rocfit, [R] rocreg, [R] rologit, [R] scobit, [R] slogit, [SVY] svy estimation, [U] 26.7 Binary-outcome qualitative dependentvariable models, [U] 26.10 Multiple-outcome qualitative dependent-variable models, [U] 26.18.4 Qualitative dependent-variable models with panel data, [XT] xtcloglog, qualitative dependent variables, continued [XT] xtgee, [XT] xtlogit, [XT] xtologit, [XT] xtoprobit, [XT] xtprobit quality control charts, [G-2] graph other, [R] qc, [R] serrbar quantile command, [R] diagnostic plots quantile–normal plots, [R] diagnostic plots quantile plots, [G-2] graph other, [R] diagnostic plots quantile–quantile plots, [G-2] graph other, [R] diagnostic plots quantile regression, [R] qreg quantiles, see percentiles, displaying, see percentiles quantiles, estat subcommand, [MV] mds postestimation quarter() function, [D] datetime, [D] functions, [M-5] date( ) quarterly() function, [D] datetime, [D] datetime translation, [D] functions, [M-5] date( ) quartimax rotation, [MV] rotate, [MV] rotatemat, [MV] Glossary quartimin rotation, [MV] rotate, [MV] rotatemat, [MV] Glossary quasimaximum likelihood, [SEM] Glossary Quattro Pro, reading data from, [U] 21.4 Transfer programs query command, [R] query efficiency command, [R] query graphics command, [G-2] set graphics, [G-2] set printcolor, [G-2] set scheme, [R] query interface command, [R] query mata command, [R] query memory command, [D] memory, [R] query network command, [R] query other command, [R] query output command, [R] query trace command, [R] query update command, [R] query query, cluster subcommand, [MV] cluster programming utilities estimates subcommand, [R] estimates store file subcommand, [P] file forecast subcommand, [TS] forecast query graph subcommand, [G-2] graph query icd9 subcommand, [D] icd9 icd9p subcommand, [D] icd9 log subcommand, [R] log mi subcommand, [MI] mi describe ml subcommand, [R] ml net subcommand, [R] net odbc subcommand, [D] odbc translator subcommand, [R] translate transmap subcommand, [R] translate update subcommand, [R] update webuse subcommand, [D] webuse querybreakintr() function, [M-5] setbreakintr( ) quick reference, [D] data types, [D] missing values
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Subject index Symbols ! (not), see
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Subject index 3 alternative, contin
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Subject index 5 autoregressive, con
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Subject index 7 biquartimax rotatio
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Subject index 9 c(maxstrvarlen) c-c
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Subject index 11 char, continued ma
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Subject index 13 cluster analysis,
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Subject index 15 colnames, matrix s
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Subject index 17 confidence interva
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Subject index 19 convergence, [SEM]
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Subject index 21 cross-sectional da
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Subject index 23 defective matrix,
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Subject index 25 direction of an ef
Page 27 and 28: Subject index 27 dsign() function,
Page 29 and 30: Subject index 29 endogenous, contin
Page 31 and 32: Subject index 31 estat, continued m
Page 33 and 34: Subject index 33 experimental data,
Page 35 and 36: Subject index 35 files, continued c
Page 37 and 38: Subject index 37 frequencies, creat
Page 39 and 40: Subject index 39 ghessenbergd la()
Page 41 and 42: Subject index 41 graphs, continued
Page 43 and 44: Subject index 43 gsem option, conti
Page 45 and 46: Subject index 45 httpproxy, set sub
Page 47 and 48: Subject index 47 incidence-rate rat
Page 49 and 50: Subject index 49 invpoissontail() f
Page 51 and 52: Subject index 51 label values, [P]
Page 53 and 54: Subject index 53 lines, continued l
Page 55 and 56: Subject index 55 lower-triangular m
Page 57 and 58: Subject index 57 matmissing() funct
Page 59 and 60: Subject index 59 means, continued g
Page 61 and 62: Subject index 61 mindices, estat su
Page 63 and 64: Subject index 63 mreldifre() functi
Page 65 and 66: Subject index 65 nbinomialtail() fu
Page 67 and 68: Subject index 67 nonparametric anal
Page 69 and 70: Subject index 69 ocloglog option, s
Page 71 and 72: Subject index 71 outcomes, continue
Page 73 and 74: Subject index 73 pcorr command, [R]
Page 75 and 76: Subject index 75 postestimation com
Page 77: Subject index 77 probability of a t
Page 81 and 82: Subject index 81 rcap, graph twoway
Page 83 and 84: Subject index 83 reset, mi subcomma
Page 85 and 86: Subject index 85 robust, Huber/Whit
Page 87 and 88: Subject index 87 sample size, conti
Page 89 and 90: Subject index 89 sem command, [SEM]
Page 91 and 92: Subject index 91 set, cluster subco
Page 93 and 94: Subject index 93 snapshot, [D] snap
Page 95 and 96: Subject index 95 stability, [TS] va
Page 97 and 98: Subject index 97 stbase command, [S
Page 99 and 100: Subject index 99 Student’s t, dis
Page 101 and 102: Subject index 101 svy: mean command
Page 103 and 104: Subject index 103 tempfile command,
Page 105 and 106: Subject index 105 timer, continued
Page 107 and 108: Subject index 107 Tukey’s Student
Page 109 and 110: Subject index 109 use command, [D]
Page 111 and 112: Subject index 111 verifying data, [
Page 113 and 114: Subject index 113 xtcloglog command
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