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18 Nonparametric statistics [R] kdensity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Univariate kernel density estimation [R] ksmirnov . . . . . . . . . . . . . . . . . . . . . Kolmogorov–Smirnov equality-of-distributions test [R] kwallis . . . . . . . . . . . . . . . . . . . . . . . . Kruskal–Wallis equality-of-populations rank test [R] lowess . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Lowess smoothing [R] lpoly . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Kernel-weighted local polynomial smoothing [R] lv . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Letter-value displays [R] nptrend . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Test for trend across ordered groups [R] qreg . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Quantile regression [R] ranksum . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Equality tests on unmatched data [R] roc . . . . . . . . . . . . . . . . . . . . . . . . . . . . Receiver operating characteristic (ROC) analysis [R] runtest . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Test for random order [R] signrank . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Equality tests on matched data [R] smooth . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Robust nonlinear smoother [R] spearman . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Spearman’s and Kendall’s correlations [R] symmetry . . . . . . . . . . . . . . . . . . . . . . . . . . Symmetry and marginal homogeneity tests Ordinal outcomes [U] Chapter 20 . . . . . . . . . . . . . . . . . . . . . . . . . . . Estimation and postestimation commands [R] asroprobit . . . . . . . . . . . . . . . . . . . . Alternative-specific rank-ordered probit regression [R] ologit . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Ordered logistic regression [R] oprobit . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Ordered probit regression [R] rologit . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Rank-ordered logistic regression Other statistics [R] alpha . . . . . . . . . . Compute interitem correlations (covariances) and Cronbach’s alpha [R] ameans . . . . . . . . . . . . . . . . . . . . . . . . . . . Arithmetic, geometric, and harmonic means [R] brier . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Brier score decomposition [R] centile . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Report centile and confidence interval [R] kappa . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Interrater agreement [MV] mvtest correlations . . . . . . . . . . . . . . . . . . . . . . . . . . . . Multivariate tests of correlations [R] pcorr . . . . . . . . . . . . . . . . . . . . . . . . . . . . Partial and semipartial correlation coefficients [D] pctile . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Create variable containing percentiles [D] range . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Generate numerical range Pharmacokinetic statistics [U] Section 26.22 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pharmacokinetic data [R] pk . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pharmacokinetic (biopharmaceutical) data [R] pkcollapse . . . . . . . . . . . . . . . . . . . . . . . Generate pharmacokinetic measurement dataset [R] pkcross . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Analyze crossover experiments [R] pkequiv . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Perform bioequivalence tests [R] pkexamine . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Calculate pharmacokinetic measures [R] pkshape . . . . . . . . . . . . . . . . . . . . . . . . . . . Reshape (pharmacokinetic) Latin-square data [R] pksumm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Summarize pharmacokinetic data Power and sample size [R] sampsi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Sample size and power determination [ST] stpower . . . . . Sample-size, power, and effect-size determination for survival analysis
19 [ST] stpower cox Sample size, power, and effect size for the Cox proportional hazards model [ST] stpower exponential . . . . . . . . . . . . . . . Sample size and power for the exponential test [ST] stpower logrank . . . . . . . . . . Sample size, power, and effect size for the log-rank test Quality control [R] cusum . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Graph cumulative spectral distribution [R] qc . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Quality control charts [R] serrbar . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Graph standard error bar chart Rotation [MV] procrustes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Procrustes transformation [MV] rotate . . . . . . . . . . . . . . . . . . . . . . Orthogonal and oblique rotations after factor and pca [MV] rotatemat . . . . . . . . . . . . . . . . . . . . . Orthogonal and oblique rotations of a Stata matrix Sample selection models [U] Chapter 20 . . . . . . . . . . . . . . . . . . . . . . . . . . . Estimation and postestimation commands [U] Section 26.13 . . . . . . . . . . . . . . . . . . . . . . . . Models with endogenous sample selection [R] heckman . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Heckman selection model [R] heckprob . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Probit model with sample selection [R] treatreg . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Treatment-effects model Simulation/resampling [R] bootstrap . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Bootstrap sampling and estimation [R] bsample . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Sampling with replacement [R] jackknife . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Jackknife estimation [R] permute . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Monte Carlo permutation tests [R] simulate . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Monte Carlo simulations Standard postestimation tests, tables, and other analyses [U] Section 13.5 . . . . . . . . . . . . . . . . . . . . . . . . . Accessing coefficients and standard errors [U] Chapter 20 . . . . . . . . . . . . . . . . . . . . . . . . . . . Estimation and postestimation commands [R] correlate . . . . . . . . . . . . . . . . . . . Correlations (covariances) of variables or coefficients [R] estat . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Postestimation statistics [R] estimates . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Save and manipulate estimation results [R] estimates describe . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Describe estimation results [R] estimates for . . . . . . . . . . . . . . . . . . . . . Repeat postestimation command across models [R] estimates notes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Add notes to estimation results [R] estimates replay . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Redisplay estimation results [R] estimates save . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Save and use estimation results [R] estimates stats . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Model statistics [R] estimates store . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Store and restore estimation results [R] estimates table . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Compare estimation results [R] estimates title . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Set title for estimation results [R] hausman . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Hausman specification test [R] lincom . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Linear combinations of estimators [R] linktest . . . . . . . . . . . . . . . . . . . . . . . Specification link test for single-equation models [R] lrtest . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Likelihood-ratio test after estimation [R] margins . . . . . . . . . . . . . . . . Marginal means, predictive margins, and marginal effects [MV] mvtest . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Multivariate tests [R] nlcom . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Nonlinear combinations of estimators
Page 1 and 2: STATA QUICK REFERENCE AND INDEX REL
Page 3: i Table of contents Combined subjec
Page 6 and 7: 2 Inputting and saving data [GS] Ch
Page 8 and 9: 4 [D] changeeol . . . . . . . . . .
Page 10 and 11: 6 [R] estimates title . . . . . . .
Page 12 and 13: 8 [G] graph twoway lowess . . . . .
Page 14 and 15: 10 Graph schemes [G] schemes intro
Page 16 and 17: 12 [MV] clustermat . . . . . . . .
Page 18 and 19: 14 [MV] scoreplot . . . . . . . . .
Page 20 and 21: 16 [R] mprobit . . . . . . . . . .
Page 24 and 25: 20 [R] predict . . . . . . . . . .
Page 26 and 27: 22 [TS] tsreport . . . . . . . . .
Page 28 and 29: 24 [P] fvexpand . . . . . . . . . .
Page 30 and 31: 26 Mata [M] Mata Reference Manual .
Page 32 and 33: Title estimation commands — Quick
Page 34 and 35: 30 estimation commands — Quick re
Page 40 and 41: Title format — Quick reference fo
Page 42 and 43: Title missing values — Quick refe
Page 44 and 45: 40 postestimation commands — Quic
Page 52 and 53: Title prefix commands — Quick ref
Page 54 and 55: Title reading data — Quick refere
Page 57 and 58: Title Acronym glossary 2SIV 2SLS 3S
Page 59 and 60: Acronym glossary 55 IC ICD-9 IIA i.
Page 61 and 62: Acronym glossary 57 QDA QML rc RCT
Page 63 and 64: Vignettes index 59 Vignettes index
Page 65 and 66: Author index 61 Author index A Aale
Page 67 and 68: Author index 63 Blackburne III, E.
Page 69 and 70: Author index 65 Conover, W. J., [R]
Page 71 and 72: Author index 67 Feinleib, M., [XT]
Page 73 and 74:
Author index 69 Green, P. E., [MV]
Page 75 and 76:
Author index 71 Hipel, K. W., [TS]
Page 77 and 78:
Author index 73 Klein, J. P., [ST]
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Author index 75 Lu, J. Y., [TS] pra
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Author index 77 Muirhead, R. J., [M
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Author index 79 Ponce de Leon, A.,
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Author index 81 Schonlau, M., [R] g
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Author index 83 ter Bogt, T., [MV]
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Author index 85 Wichern, D. W., con
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Subject index 87 Subject index ! (n
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Subject index 89 args command, [P]
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Subject index 91 bias corrected and
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Subject index 93 c(minbyte) c-class
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Subject index 95 choice models, con
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Subject index 97 cointegration, con
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Subject index 99 constrained estima
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Subject index 101 cumsp command, [T
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Subject index 103 describe, continu
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Subject index 105 DLL, [P] plugin D
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Subject index 107 end-of-line chara
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Subject index 109 estat, continued
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Subject index 111 FEVD, [TS] Glossa
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Subject index 113 fsave, window sub
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Subject index 115 graph, continued
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Subject index 117 Harrell’s C, [S
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Subject index 119 Im-Pesaran-Shin t
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Subject index 121 invfft() function
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Subject index 123 label values, [P]
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Subject index 125 loading, [MV] Glo
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Subject index 127 markers, [G] mark
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Subject index 129 mband, graph twow
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Subject index 131 missing data, [MI
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Subject index 133 mvdecode command,
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Subject index 135 number to string
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Subject index 137 parameter trace f
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Subject index 139 polytomous logist
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Subject index 141 proportions, [R]
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Subject index 143 rc built-in varia
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Subject index 145 return, [M-2] ret
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Subject index 147 RVI, see relative
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Subject index 149 set, continued fa
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Subject index 151 Sneath and Sokel
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Subject index 153 Stata, continued
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Subject index 155 stset command for
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Subject index 157 svy: truncreg com
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Subject index 159 tests, continued
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Subject index 161 truncating real n
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Subject index 163 variables, contin
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Subject index 165 weights, continue
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