Subject index - Stata

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20 Subject index cosine function, [D] functions cosine kernel function, [R] kdensity, [R] lpoly, [R] qreg, [TE] teffects overlap cost frontier model, [R] frontier, [XT] xtfrontier costs, [MV] Glossary count command, [D] count count data, confidence intervals for counts, [R] ci estimation, [R] expoisson, [R] glm, [R] gmm, [R] ivpoisson, [R] nbreg, [R] poisson, [R] tnbreg, [R] tpoisson, [R] zinb, [R] zip, [U] 26.11 Count dependent-variable models graphs, [R] histogram, [R] kdensity, [R] spikeplot imputation, see imputation, count data interrater agreement, [R] kappa summary statistics of, [R] table, [R] tabstat, [R] tabulate oneway, [R] tabulate twoway, [R] tabulate, summarize() symmetry and marginal homogeneity tests, [R] symmetry count model, [SEM] intro 5, [SEM] example 34g, [SEM] example 39g count outcome model, see outcomes, count count(), egen function, [D] egen count, ml subcommand, [R] ml counterfactual, [TE] Glossary, also see potential outcome counts, making dataset of, [D] collapse count-time data, [ST] ct, [ST] ctset, [ST] cttost, [ST] sttoct, [ST] Glossary, [SVY] svy estimation courses about Stata, [U] 3.7.2 NetCourses covariance, [SEM] intro 4, [SEM] Glossary analysis of, [R] anova assumptions, [SEM] gsem, [SEM] sem matrix of estimators, [P] ereturn, [P] matrix get, [R] estat, [R] estat vce, [R] estimates store of variables or coefficients, [R] correlate principal components of, [MV] pca stationarity, [TS] Glossary structure, [ME] me, [ME] Glossary covariance matrix, anti-image, [MV] factor postestimation, [MV] pca postestimation block diagonal, [MV] mvtest covariances spherical, [MV] mvtest covariances testing equality, [MV] mvtest covariances covariance, estat subcommand, [MV] discrim lda postestimation, [MV] discrim qda postestimation, [R] asmprobit postestimation, [R] asroprobit postestimation covariance() option, see gsem option covariance(), see sem option covariance() covariances, mvtest subcommand, [MV] mvtest covariances covariances, creating dataset from, see summary statistics data covariate class, [D] duplicates covariate patterns, [R] logistic postestimation, [R] logit postestimation, [R] probit postestimation covariates, [ST] Glossary covarimin rotation, [MV] rotate, [MV] rotatemat, [MV] Glossary COVRATIO, [R] regress postestimation covstructure() option, see gsem option covstructure(), see sem option covstructure() cox, stpower subcommand, [ST] stpower cox Cox proportional hazards model, [ST] stcox, [SVY] svy estimation power, [ST] stpower cox sample size, [ST] stpower cox test of assumption, [ST] stcox, [ST] stcox PHassumption tests, [ST] stcox postestimation, [ST] stsplit Wald test, power, [ST] stpower cox Cox–Snell residual, [ST] stcox postestimation, [ST] streg postestimation cprplot command, [R] regress postestimation diagnostic plots Cramér’s V , [R] tabulate twoway Crawford–Ferguson rotation, [MV] rotate, [MV] rotatemat, [MV] Glossary create, bcal subcommand, [D] bcal forecast subcommand, [TS] forecast create irf subcommand, [TS] irf create serset subcommand, [P] serset create cspline, serset subcommand, [P] serset create xmedians, serset subcommand, [P] serset creturn list command, [P] creturn crexternal() function, [M-5] findexternal( ) critical region, see rejection region value, [PSS] intro, [PSS] power oneproportion, [PSS] power twoproportions, [PSS] power onevariance, [PSS] Glossary Cronbach’s alpha, [MV] alpha cross command, [D] cross cross product, [M-5] cross( ), [M-5] crossdev( ), [M-5] quadcross( ) cross() function, [M-5] cross( ) cross-correlation function, [TS] xcorr, [TS] Glossary cross-correlogram, [G-2] graph other, [TS] xcorr crossdev() function, [M-5] crossdev( ) crossed variables, [MV] Glossary crossed-effects model, [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] example 40g, [SEM] Glossary crossing variables, [MV] Glossary crossover designs, [R] pk, [R] pkcross, [R] pkshape cross-product matrices, [P] matrix accum
Subject index 21 cross-sectional data, [XT] Glossary time-series data, [XT] Glossary cross-sectional 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] Glossary cross-tabulations, see tables crude estimate, [ST] epitab, [ST] Glossary cs command, [ST] epitab csi command, [ST] epitab .csv filename suffix, [D] import delimited ct command, [ST] ctset ct data, [ST] Glossary, also see count-time data ctable, irf subcommand, [TS] irf ctable ctset command, [ST] ctset cttost command, [ST] cttost cubic natural splines, [M-5] spline3( ) cumsp command, [TS] cumsp cumul command, [R] cumul cumulative distribution functions, [D] functions cumulative distribution, empirical, [R] cumul cumulative hazard function, [ST] stcurve, [ST] sts, [ST] sts generate, [ST] sts graph, [ST] sts list, [ST] Glossary cumulative hazard ratio, see hazard ratio cumulative incidence data, [R] poisson, [ST] epitab estimator, [ST] stcrreg, [ST] Glossary function, [ST] stcrreg, [ST] stcurve, [ST] Glossary cumulative spectral distribution, empirical, [TS] cumsp, [TS] psdensity cumulative subhazard function, [ST] stcrreg, [ST] stcurve, [ST] Glossary current data, [P] creturn curse of dimensionality, [MV] Glossary curved path, [SEM] Glossary custom prediction equations, [MI] mi impute chained, [MI] mi impute monotone cusum command, [R] cusum cusum plots, [G-2] graph other cusum test, [R] cusum cut(), egen function, [D] egen cutil, see classutil cv, estat subcommand, [SVY] estat cvpermute() function, [M-5] cvpermute( ) cvpermutesetup() function, [M-5] cvpermute( ) cyclical component, [TS] tsfilter, [TS] ucm, [TS] Glossary D DA, see data augmentation dashed lines, [G-4] linepatternstyle data, appending, see appending data autocorrelated, see autocorrelation case–cohort, see case–cohort data case–control, see case–control data categorical, see categorical data, agreement, measures for, see categorical data certifying, see certifying data characteristics of, see characteristics checksums of, see checksums of data combining, see combining datasets contents of, see contents of data count-time, see count-time data cumulative incidence data, see cumulative incidence data current, see current data discrete survival, see discrete survival data displaying, see displaying data documenting, see documenting data editing, see editing data entering, see importing data, see inputting data interactively experimental, see experimental data exporting, see exporting data extended missing values, see missing values flong, see flong flongsep, see flongsep generating, see generating data importing, see importing data inputting, see importing data, see inputting data interactively, see reading data from disk labeling, see labeling data large, dealing with, see memory listing, see listing data loading, see importing data, see inputting data interactively, see using data matched case–control, see matched case–control data missing values, see missing values mlong, see mlong multiple-failure st, see multiple-failure st data multiple-record st, see multiple-record st data nested case–control, see nested case–control data observational, see observational data preserving, see preserving data range of, see range of data ranking, see ranking data reading, see importing data, see loading data, see reading data from disk recoding, see recoding data rectangularizing, see rectangularize dataset reordering, see reordering data reorganizing, see reorganizing data restoring, see restoring data sampling, see sampling saving, see exporting data, see saving data single-failure st, see survival analysis single-record st, see survival analysis
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: Subject index 19 convergence, [SEM]
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,
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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
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Subject index 71 outcomes, continue
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Subject index 73 pcorr command, [R]
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Subject index 75 postestimation com
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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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Subject index - Stata

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