Subject index - Stata

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74 Subject index pnorm command, [R] diagnostic plots point estimate, [SVY] Glossary point-and-click analysis, see graphical user interface pointers, [M-2] pointers, [M-2] ftof, [M-5] findexternal( ), [M-6] Glossary points, connecting, [G-3] connect options, [G-4] connectstyle Poisson, [SEM] example 34g, [SEM] example 39g distribution, confidence intervals, [R] ci cumulative, [D] functions inverse cumulative, [D] functions inverse reverse cumulative, [D] functions regression, see Poisson regression reverse cumulative, [D] functions probability mass function, [D] functions poisson command, [R] nbreg, [R] poisson, [R] poisson postestimation poisson option, see gsem option poisson Poisson regression, [R] nbreg, [R] poisson, [SEM] Glossary, [ST] stcox, [SVY] svy estimation fixed-effects, [XT] xtpoisson generalized linear model, [R] glm mixed-effects, [ME] mepoisson, [ME] meqrpoisson model, [XT] Glossary population-averaged, [XT] xtgee, [XT] xtpoisson random-effects, [XT] xtpoisson truncated, [R] tpoisson zero-inflated, [R] zip poisson() function, [D] functions, [M-5] normal( ) poissonp() function, [D] functions, [M-5] normal( ) poissontail() function, [D] functions, [M-5] normal( ) polar coordinates, [D] range polyadd() function, [M-5] polyeval( ) polyderiv() function, [M-5] polyeval( ) polydiv() function, [M-5] polyeval( ) polyeval() function, [M-5] polyeval( ) polyinteg() function, [M-5] polyeval( ) polymorphism, [P] class polymult() function, [M-5] polyeval( ) polynomial smoothing, see local polynomial smoothing polynomials, [M-5] polyeval( ) fractional, [R] fp, [R] mfp orthogonal, [R] orthog smoothing, see local polynomial polyroots() function, [M-5] polyeval( ) polysolve() function, [M-5] polyeval( ) polytomous logistic regression, [SVY] svy estimation polytomous outcome model, see outcomes, polytomous polytrim() function, [M-5] polyeval( ) POMs, see potential-outcome means pooled estimates, [ST] epitab pooled estimator, [XT] Glossary pooling step, [MI] intro substantive, [MI] mi estimate, [MI] mi estimate using, [MI] mi predict population attributable risk, [ST] epitab population error, [SEM] estat gof, [SEM] example 4 population parameter, [PSS] intro, [PSS] GUI, [PSS] power, [PSS] power, graph, [PSS] power, table, [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] power oneway, [PSS] power twoway, [PSS] power repeated, [PSS] unbalanced designs, [PSS] Glossary population pyramid, [G-2] graph twoway bar population size, [PSS] power, [PSS] power onemean, [PSS] power pairedmeans population standard deviation, see subpopulation, standard deviations of population-averaged model, [XT] xtcloglog, [XT] xtgee, [XT] xtlogit, [XT] xtnbreg, [XT] xtpoisson, [XT] xtprobit, [XT] xtreg, [XT] Glossary populations, diagnostic plots, [R] diagnostic plots examining, [R] histogram, [R] lv, [R] spikeplot, [R] stem, [R] summarize, [R] table standard, [R] dstdize testing equality of, see distributions, testing equality of testing for normality, [R] sktest, [R] swilk portmanteau statistic, [TS] corrgram, [TS] wntestq, [TS] Glossary positive effect size, [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 post command, [P] postfile post, ereturn subcommand, [P] ereturn, [P] makecns, [P] return postclose command, [P] postfile posterior mean, [ME] mecloglog postestimation, [ME] meglm postestimation, [ME] melogit postestimation, [ME] menbreg postestimation, [ME] meologit postestimation, [ME] meoprobit postestimation, [ME] mepoisson postestimation, [ME] meprobit postestimation, [ME] Glossary mode, [ME] mecloglog postestimation, [ME] meglm postestimation, [ME] melogit postestimation, [ME] menbreg postestimation, [ME] meologit postestimation, [ME] meoprobit postestimation, [ME] mepoisson postestimation, [ME] meprobit postestimation, [ME] Glossary probabilities, [MV] Glossary
Subject index 75 postestimation command, [MI] mi estimate postestimation, [P] estat programming, [R] contrast, [R] estat, [R] estat ic, [R] estat summarize, [R] estat vce, [R] estimates, [R] hausman, [R] lincom, [R] linktest, [R] lrtest, [R] margins, [R] margins, contrast, [R] margins, pwcompare, [R] marginsplot, [R] nlcom, [R] predict, [R] predictnl, [R] pwcompare, [R] suest, [R] test, [R] testnl, [SEM] intro 7, [SEM] gsem postestimation, [SEM] sem postestimation, [ST] stcurve, [SVY] estat, [SVY] svy postestimation, [TE] teffects overlap, [TE] teffects postestimation, [TS] estat acplot, [TS] estat aroots, [TS] fcast compute, [TS] fcast graph, [TS] irf, [TS] psdensity, [TS] vargranger, [TS] varlmar, [TS] varnorm, [TS] varsoc, [TS] varstable, [TS] varwle, [TS] veclmar, [TS] vecnorm, [TS] vecstable postestimation, predicted values, [SEM] intro 7, [SEM] example 14, [SEM] example 28g, [SEM] predict after gsem, [SEM] predict after sem postfile command, [P] postfile PostScript, [G-2] graph export, [G-3] eps options, [G-3] ps options, [G-4] text poststratification, [SVY] poststratification, [SVY] Glossary posttreatment mean, see means, posttreatment postulated value, [PSS] power, [PSS] Glossary postutil clear command, [P] postfile dir command, [P] postfile potential outcome, [TE] etpoisson, [TE] etpoisson postestimation, [TE] etregress, [TE] teffects intro, [TE] teffects intro advanced, [TE] teffects aipw, [TE] teffects ipw, [TE] teffects ipwra, [TE] teffects nnmatch, [TE] teffects overlap, [TE] teffects postestimation, [TE] teffects psmatch, [TE] teffects ra, [TE] Glossary potential-outcome means, [TE] teffects intro, [TE] teffects intro advanced, [TE] teffects aipw, [TE] teffects ipw, [TE] teffects ipwra, [TE] teffects multivalued, [TE] teffects ra, [TE] Glossary poverty indices, [R] inequality power command, [PSS] intro, [PSS] power, [PSS] power, graph, [PSS] power, table onecorrelation command, [PSS] power onecorrelation onemean command, [PSS] power onemean oneproportion command, [PSS] power oneproportion onevariance command, [PSS] power onevariance oneway command, [PSS] power oneway pairedmeans command, [PSS] power pairedmeans pairedproportions command, [PSS] power pairedproportions repeated command, [PSS] power repeated power, continued twocorrelations command, [PSS] power twocorrelations twomeans command, [PSS] power twomeans twoproportions command, [PSS] power twoproportions twovariances command, [PSS] power twovariances twoway command, [PSS] power twoway power, [M-2] op arith, [M-2] op colon, [M-5] matpowersym( ), [PSS] intro, [PSS] GUI, [PSS] power, [PSS] power, graph, [PSS] power, table, [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] power oneway, [PSS] power twoway, [PSS] power repeated, [PSS] unbalanced designs, [PSS] Glossary, [ST] Glossary, [U] 19.3 The power command, [U] 26.29 Power and sample-size analysis actual, [PSS] intro, [PSS] power, [PSS] power, graph, [PSS] power, table, [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] unbalanced designs, [PSS] Glossary analysis, see power and sample-size analysis Cox proportional hazards regression, [ST] stpower, [ST] stpower cox curve, [PSS] intro, [PSS] GUI, [PSS] power, [PSS] power, graph, [PSS] Glossary determination, [PSS] intro, [PSS] GUI, [PSS] power, [PSS] power, graph, [PSS] power, table, [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] power oneway, [PSS] power twoway, [PSS] power repeated, [PSS] unbalanced designs, [PSS] Glossary exponential survival, [ST] stpower, [ST] stpower exponential exponential test, [ST] stpower, [ST] stpower exponential function, [PSS] intro, [PSS] Glossary graph, see power curve graphical output, [PSS] power, graph log-rank, [ST] stpower, [ST] stpower logrank
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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
Page 23 and 24: Subject index 23 defective matrix,
Page 25 and 26: 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: Subject index 73 pcorr command, [R]
Page 77 and 78: Subject index 77 probability of a t
Page 79 and 80: Subject index 79 quad precision, [M
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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