Subject index - Stata

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28 Subject index effect, [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] power oneway, [PSS] power twoway, [PSS] power repeated, [PSS] unbalanced designs detection of, see minimum detectable effect size minimum detectable, see minimum detectable effect size treatment, see treatment effect effect size, [ST] stpower, [ST] stpower cox, [ST] stpower exponential, [ST] stpower logrank, [ST] Glossary, see δ effects, direct, [SEM] estat teffects, [SEM] example 7, [SEM] example 42g, [SEM] methods and formulas for sem, [SEM] Glossary indirect, [SEM] estat teffects, [SEM] example 7, [SEM] example 42g, [SEM] methods and formulas for sem, [SEM] Glossary total, [SEM] estat teffects, [SEM] example 7, [SEM] example 42g, [SEM] methods and formulas for sem, [SEM] Glossary effects, estat subcommand, [SVY] estat effect-size curve, [PSS] intro, [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 efficiency, query subcommand, [R] query eform, estat subcommand, [SEM] estat eform eform option, [R] eform option EGARCH, see exponential generalized autoregressive conditional heteroskedasticity egen command, [D] egen, [MI] mi passive, [MI] mi xeq EGLS, see estimated generalized least squares eigen la() function, [M-5] eigensystem( ) eigensystem() function, [M-5] eigensystem( ) eigensystem() function, [M-5] eigensystem( ) eigensystemselect*() functions, [M-5] eigensystemselect( ) eigensystemselect*() functions, [M-5] eigensystemselect( ) eigenvalue stability condition, [TS] estat aroots, [TS] varstable, [TS] vecstable eigenvalue stability index, [SEM] estat stable eigenvalues, [M-5] eigensystem( ), [M-6] Glossary, [MV] factor, [MV] factor postestimation, [MV] pca, [MV] rotate, [MV] rotatemat, [MV] screeplot, [MV] Glossary, [P] matrix eigenvalues, [P] matrix svd, [P] matrix symeigen eigenvalues() function, [M-5] eigensystem( ) eigenvalues() function, [M-5] eigensystem( ) eigenvalues, matrix subcommand, [P] matrix eigenvalues eigenvectors, [M-5] eigensystem( ), [M-6] Glossary, [MV] factor, [MV] factor postestimation, [MV] pca, [MV] rotate, [MV] rotatemat, [MV] scoreplot, [MV] Glossary, [P] matrix svd, [P] matrix symeigen EIM, see expected information matrix eim, see sem option vce() eivreg command, [R] eivreg, [R] eivreg postestimation el() function, [D] functions, [P] matrix define elimination matrix, [M-5] Lmatrix( ) ellipsis, [G-4] text else command, [P] if eltype, [M-2] declarations, [M-6] Glossary eltype() function, [M-5] eltype( ) EM, see expectation-maximization algorithm empirical Bayes, [ME] mecloglog postestimation, [ME] meglm, [ME] meglm postestimation, [ME] melogit postestimation, [ME] menbreg postestimation, [ME] meologit postestimation, [ME] meoprobit postestimation, [ME] mepoisson postestimation, [ME] meprobit postestimation, [ME] Glossary means, see posterior mean modes, see posterior mode predictions, [SEM] intro 7, [SEM] methods and formulas for gsem, [SEM] predict after gsem empirical cumulative distribution function, [R] cumul emptycells, set subcommand, [R] set, [R] set emptycells Encapsulated PostScript, [G-2] graph export, [G-3] eps options, [G-4] text encode command, [D] encode, [U] 23.2 Categorical string variables end command, [M-3] end ending a Stata session, [P] exit, [R] exit endless loop, see loop, endless end-of-line characters, [D] changeeol endogeneity test, [R] ivregress postestimation endogenous covariates, [R] gmm, [R] ivpoisson, [R] ivprobit, [R] ivregress, [R] ivtobit, [R] reg3, [XT] xtdpd, [XT] xtdpdsys, [XT] xthtaylor, [XT] xtivreg treatment, [TE] etpoisson, [TE] etregress treatment-effects model, [SEM] example 46g
Subject index 29 endogenous, continued variable, [SEM] intro 4, [SEM] Glossary, [SVY] svy estimation, [TS] Glossary, [XT] Glossary endogenous, estat subcommand, [R] ivregress postestimation ends(), egen function, [D] egen Engle’s LM test, [R] regress postestimation time series Enhanced Metafile, [G-2] graph export ensuring mi data are consistent, [MI] mi update entering data, see importing data, see inputting data interactively, see reading data from disk environment macro extended function, [P] macro environment variables (Unix), [P] macro eolchar, set subcommand, [R] set Epanechnikov kernel function, [G-2] graph twoway kdensity, [G-2] graph twoway lpoly, [R] kdensity, [R] lpoly, [R] qreg, [TE] teffects overlap epidemiological tables, [ST] epitab epidemiology, [ST] epitab, [ST] strate epidemiology and related, Brier score decomposition, [R] brier interrater agreement, [R] kappa meta-analysis, [R] meta pharmacokinetic data, see pharmacokinetic data ROC analysis, see receiver operating characteristic analysis standardization, [R] dstdize symmetry and marginal homogeneity tests, [R] symmetry tables, [R] tabulate twoway epsdouble() function, [D] functions epsfloat() function, [D] functions epsilon() function, [M-5] epsilon( ), [M-6] Glossary eqgof, estat subcommand, [SEM] estat eqgof eqtest, estat subcommand, [SEM] estat eqtest equal FMI test, [MI] mi estimate, [MI] mi test, [MI] Glossary equal-allocation design, see balanced design equality of means tests, [MV] hotelling, [MV] manova, [MV] mvtest means equality operator, [U] 13.2.3 Relational operators equality test of binomial proportions, [R] bitest coefficients, [R] pwcompare, [R] sureg, [R] test, [R] testnl, [SVY] svy postestimation distributions, [R] ksmirnov, [R] kwallis, [R] ranksum, [R] signrank margins, [R] margins, [R] pwcompare means, [R] contrast, [R] esize, [R] pwmean, [R] ttest, [SVY] svy postestimation medians, [R] ranksum proportions, [R] bitest, [R] prtest ROC areas, [R] roccomp, [R] rocreg survivor functions, [ST] sts test variances, [R] sdtest equamax rotation, [MV] rotate, [MV] rotatemat, [MV] Glossary equation names of matrix, [P] ereturn, [P] matrix define, [P] matrix rownames, [U] 14.2 Row and column names equilc() function, [M-5] equilrc( ) equilibration, [M-5] equilrc( ) equilr() function, [M-5] equilrc( ) equilrc() function, [M-5] equilrc( ) equivalence test, [R] pk, [R] pkequiv erase, [M-5] unlink( ) erase command, [D] erase erase, mi subcommand, [MI] mi erase, [MI] styles erase, snapshot subcommand, [D] snapshot erasing files, [D] erase erasing graph files, [G-2] graph drop ereturn clear command, [P] ereturn, [P] return display command, [P] ereturn list command, [P] ereturn, [P] return, [R] stored results local command, [P] ereturn, [P] return matrix command, [P] ereturn, [P] return post command, [P] ereturn, [P] makecns, [P] return repost command, [P] ereturn, [P] return scalar command, [P] ereturn, [P] return error, [SEM] Glossary checking, [D] assert codes, [M-2] errors handling, [P] capture, [P] confirm, [P] error, [U] 16.1.4 Error handling in do-files messages and return codes, [P] error, [P] rmsg, [R] error messages, [U] 4.8.5 Return codes, [U] 8 Error messages and return codes, also see error handling searching, [R] search variable, [SEM] intro 4, [SEM] Glossary error command, [P] error error() function, [M-5] error( ) error() function, [M-5] error( ) error, reshape subcommand, [D] reshape error-bar charts, [R] serrbar error-components model, [XT] xthtaylor, [XT] Glossary errorrate, estat subcommand, [MV] discrim estat, [MV] discrim knn postestimation, [MV] discrim lda postestimation, [MV] discrim logistic postestimation, [MV] discrim qda postestimation errors-in-variables regression, [R] eivreg errprintf() function, [M-5] errprintf( ) esample, estimates subcommand, [R] estimates save esize and esizei commands, [R] esize esize, estat subcommand, [R] regress postestimation
Page 1 and 2: Subject index Symbols ! (not), see
Page 3 and 4: Subject index 3 alternative, contin
Page 5 and 6: Subject index 5 autoregressive, con
Page 7 and 8: Subject index 7 biquartimax rotatio
Page 9 and 10: Subject index 9 c(maxstrvarlen) c-c
Page 11 and 12: Subject index 11 char, continued ma
Page 13 and 14: Subject index 13 cluster analysis,
Page 15 and 16: Subject index 15 colnames, matrix s
Page 17 and 18: Subject index 17 confidence interva
Page 19 and 20: Subject index 19 convergence, [SEM]
Page 21 and 22: 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: Subject index 27 dsign() function,
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 and 78: Subject index 77 probability of a t
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Subject index 79 quad precision, [M
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Subject index 81 rcap, graph twoway
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Subject index 83 reset, mi subcomma
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Subject index 85 robust, Huber/Whit
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Subject index 87 sample size, conti
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Subject index 89 sem command, [SEM]
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Subject index 91 set, cluster subco
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Subject index 93 snapshot, [D] snap
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Subject index 95 stability, [TS] va
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Subject index 97 stbase command, [S
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Subject index 99 Student’s t, dis
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Subject index 101 svy: mean command
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Subject index 103 tempfile command,
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Subject index 105 timer, continued
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Subject index 107 Tukey’s Student
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Subject index 109 use command, [D]
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Subject index 111 verifying data, [
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Subject index 113 xtcloglog command
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