Subject index - Stata

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106 Subject index transformed coefficients, [MI] mi estimate, [MI] mi estimate using, [MI] mi test translate command, [R] translate translate logs, [R] translate translation, file, [D] changeeol, [D] filefilter translator query command, [R] translate reset command, [R] translate set command, [R] translate transmap define command, [R] translate query command, [R] translate transmission-disequilibrium test, [R] symmetry transmorphic, [M-2] declarations, [M-6] Glossary transpose, [M-6] Glossary, also see conjugate transpose in place, [M-5] transpose( ) operator, [M-2] op transpose without conjugation, [M-5] transposeonly( ) transpose() function, [M-5] transpose( ) transposeonly() function, [M-5] transposeonly( ) transposeonly() function, [M-5] transposeonly( ) transposing data, [D] xpose transposing matrices, [P] matrix define transposition, [M-2] op transpose, [M-5] transpose( ), [M-5] transposeonly( ) treatment effect, [PSS] intro, [PSS] power, [PSS] power twomeans, [PSS] power pairedmeans, [PSS] power oneproportion, [PSS] power twoproportions, [PSS] power pairedproportions, [PSS] power oneway, [PSS] power twoway, [PSS] power repeated, [SEM] example 44g, [TE] treatment effects, [TE] etpoisson, [TE] etregress, [TE] teffects, [TE] teffects intro, [TE] teffects intro advanced, [TE] teffects aipw, [TE] teffects ipw, [TE] teffects ipwra, [TE] teffects multivalued, [TE] teffects nnmatch, [TE] teffects overlap, [TE] teffects postestimation, [TE] teffects psmatch, [TE] teffects ra model, [TE] etpoisson, [TE] etregress, [TE] teffects intro advanced, [TE] teffects aipw, [TE] teffects ipw, [TE] teffects ipwra, [TE] teffects psmatch, [TE] Glossary treatment-effect models, [U] 26.21 Treatment-effect models treatment-effects regression, [SVY] svy estimation tree, misstable subcommand, [R] misstable trees, [MV] cluster, [MV] cluster dendrogram trend, [TS] Glossary test for, [R] nptrend, [R] symmetry trend test, [ST] epitab, [ST] strate, [ST] sts test triangle kernel function, [R] kdensity, [R] lpoly, [R] qreg, [TE] teffects overlap triangular matrix, [M-5] solvelower( ), [M-6] Glossary trigamma() function, [D] functions, [M-5] factorial( ) trigonometric functions, [D] functions, [M-5] sin( ) trim() function, [D] functions trunc() function, [D] functions, [M-5] trunc( ) truncated negative binomial regression, [R] tnbreg, [SVY] svy estimation observations, [R] truncreg, also see censored observations Poisson regression, [R] tpoisson, [SVY] svy estimation regression, [R] truncreg, [SVY] svy estimation truncating real numbers, [D] functions strings, [D] functions truncation, [ST] stset, [ST] Glossary, see imputation, truncated data truncreg command, [R] truncreg, [R] truncreg postestimation tsappend command, [TS] tsappend tscale() option, [G-3] axis scale options tscale, graph twoway subcommand, [G-2] graph twoway tsline tsfill command, [TS] tsfill tsfilter, [TS] tsfilter bk command, [TS] tsfilter bk bw command, [TS] tsfilter bw cf command, [TS] tsfilter cf hp command, [TS] tsfilter hp tsline command, [TS] tsline tsline, graph twoway subcommand, [G-2] graph twoway tsline tsnorm macro extended function, [P] macro tsreport command, [TS] tsreport tsrevar command, [TS] tsrevar tsrline command, [TS] tsline tsrline, graph twoway subcommand, [G-2] graph twoway tsline tsset command, [TS] tsset tsset command for mi data, [MI] mi XXXset tsset, mi subcommand, [MI] mi XXXset tssmooth, [TS] tssmooth dexponential command, [TS] tssmooth dexponential exponential command, [TS] tssmooth exponential hwinters command, [TS] tssmooth hwinters ma command, [TS] tssmooth ma nl command, [TS] tssmooth nl shwinters command, [TS] tssmooth shwinters tsunab command, [P] unab ttail() function, [D] functions, [M-5] normal( ) ttest and ttesti commands, [R] ttest ttest command, [MV] hotelling ttick() option, [G-3] axis label options ttitle() option, [G-3] axis title options Tucker–Lewis index, [SEM] estat gof, [SEM] methods and formulas for sem tukeyprob() function, [D] functions, [M-5] normal( ) Tukey’s multiple-comparison adjustment, see multiple comparisons, Tukey’s method
Subject index 107 Tukey’s Studentized range distribution, cumulative, [D] functions inverse cumulative, [D] functions tuning constant, [R] rreg tutorials, [U] 1.2.2 Example datasets tw() pseudofunction, [D] datetime, [D] functions twithin() function, [D] functions Twitter, see Stata on Twitter two-level model, [ME] me, [ME] Glossary twocorrelations, power subcommand, [PSS] power twocorrelations two-independent-samples test, [PSS] Glossary twomeans, power subcommand, [PSS] power twomeans twoproportions, power subcommand, [PSS] power twoproportions two-sample correlations, see correlations, two-sample two-sample means, see means, two-sample two-sample paired test, [PSS] Glossary two-sample proportions, see proportions, two-sample two-sample standard deviations, see standard deviations, two-sample two-sample study, [PSS] intro, [PSS] power, [PSS] power twomeans, [PSS] power pairedmeans, [PSS] power twoproportions, [PSS] power pairedproportions, [PSS] power twovariances, [PSS] power twocorrelations, [PSS] unbalanced designs two-sample test, [PSS] intro, [PSS] power, [PSS] power twomeans, [PSS] power pairedmeans, [PSS] power twoproportions, [PSS] power pairedproportions, [PSS] power twovariances, [PSS] power twocorrelations, [PSS] Glossary correlations, [PSS] intro, [PSS] power, [PSS] power twocorrelations, [PSS] Glossary independent samples, [PSS] intro, [PSS] power, [PSS] power twomeans, [PSS] power twoproportions, [PSS] power twovariances, [PSS] power twocorrelations, [PSS] Glossary means, [PSS] intro, [PSS] power, [PSS] power twomeans, [PSS] unbalanced designs, [PSS] Glossary proportions, [PSS] intro, [PSS] power, [PSS] power twoproportions, [PSS] Glossary variances, [PSS] intro, [PSS] power, [PSS] power twovariances, [PSS] Glossary two-sample variances, see variances, two-sample two-sided test, [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 repeated, [PSS] unbalanced designs, [PSS] Glossary two-stage least squares, [R] ivregress, [SVY] svy estimation, [XT] xthtaylor, [XT] xtivreg two-tailed test, see two-sided test twovariances, power subcommand, [PSS] power twovariances two-way analysis of variance, [PSS] power, [PSS] power twoway, [PSS] Glossary, [R] anova multivariate analysis of variance, [MV] manova repeated-measures ANOVA, [PSS] power repeated, [PSS] Glossary scatterplots, [R] lowess twoway, power subcommand, [PSS] power twoway type command, [D] type macro extended function, [P] macro parameter, [D] generate type, set subcommand, [R] set ssc subcommand, [R] ssc type, [M-2] declarations, [M-6] Glossary type, broad, [M-6] Glossary type I error, [PSS] intro, [PSS] Glossary, [ST] stpower, [ST] stpower cox, [ST] stpower exponential, [ST] stpower logrank, [ST] Glossary type I error probability, [PSS] intro, [PSS] Glossary, also see α type I study, [ST] stpower, [ST] stpower cox, [ST] stpower exponential, [ST] stpower logrank, [ST] Glossary type II error, [PSS] intro, [PSS] Glossary, [ST] stpower, [ST] stpower cox, [ST] stpower exponential, [ST] stpower logrank, [ST] Glossary type II error probability, [PSS] Glossary, also see β type II study, [ST] stpower, [ST] stpower cox, [ST] stpower exponential, [ST] stpower logrank, [ST] Glossary type, set subcommand, [D] generate U U statistic, [R] ranksum UCM, see unobserved-components model ucm command, [TS] ucm, [TS] ucm postestimation unab command, [P] unab unabbreviate command names, [P] unabcmd variable list, [P] syntax, [P] unab unabcmd command, [P] unabcmd unaddgroup, ssd subcommand, [SEM] ssd .uname built-in class function, [P] class unary operator, [M-6] Glossary unbalanced data, [XT] Glossary
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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
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Subject index 27 dsign() function,
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Subject index 29 endogenous, contin
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Subject index 31 estat, continued m
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Subject index 33 experimental data,
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Subject index 35 files, continued c
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Subject index 37 frequencies, creat
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Subject index 39 ghessenbergd la()
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Subject index 41 graphs, continued
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Subject index 43 gsem option, conti
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Subject index 45 httpproxy, set sub
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Subject index 47 incidence-rate rat
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Subject index 49 invpoissontail() f
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Subject index 51 label values, [P]
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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 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: Subject index 105 timer, continued
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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Subject index - Stata

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