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12 [MV] clustermat . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction to clustermat commands [MV] matrix dissimilarity . . . . . . . . . . . . . . . . . Compute similarity or dissimilarity measures [MV] measure option . . . . . . . . . . . . . . . . . Option for similarity and dissimilarity measures [MV] multivariate . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction to multivariate commands Correspondence analysis [MV] ca . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Simple correspondence analysis [MV] mca . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Multiple and joint correspondence analysis Count outcomes [U] Chapter 20 . . . . . . . . . . . . . . . . . . . . . . . . . . . Estimation and postestimation commands [U] Section 26.8 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Count dependent-variable models [U] Section 26.15.5 . . . . . . . . . . . . . . . . . Count dependent-variable models with panel data [R] expoisson . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Exact Poisson regression [R] nbreg . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Negative binomial regression [R] poisson . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Poisson regression [XT] xtmepoisson . . . . . . . . . . . . . . . . . . . . . . . . Multilevel mixed-effects Poisson regression [XT] xtnbreg Fixed-effects, random-effects, & population-averaged negative binomial models [XT] xtpoisson . . . . Fixed-effects, random-effects, and population-averaged Poisson models [R] zinb . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Zero-inflated negative binomial regression [R] zip . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Zero-inflated Poisson regression [R] ztnb . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Zero-truncated negative binomial regression [R] ztp . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Zero-truncated Poisson regression Discriminant analysis [MV] candisc . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Canonical linear discriminant analysis [MV] discrim . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Discriminant analysis [MV] discrim estat . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Postestimation tools for discrim [MV] discrim knn . . . . . . . . . . . . . . . . . . . . . . . . . . kth-nearest-neighbor discriminant analysis [MV] discrim lda . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Linear discriminant analysis [MV] discrim logistic . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Logistic discriminant analysis [MV] discrim qda . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Quadratic discriminant analysis [MV] scoreplot . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Score and loading plots [MV] screeplot . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Scree plot Do-it-yourself generalized method of moments [R] gmm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Generalized method of moments estimation [P] matrix . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction to matrix commands Do-it-yourself maximum likelihood estimation [P] matrix . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Introduction to matrix commands [R] ml . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Maximum likelihood estimation Endogenous covariates [U] Chapter 20 . . . . . . . . . . . . . . . . . . . . . . . . . . . Estimation and postestimation commands [U] Chapter 26 . . . . . . . . . . . . . . . . . . . . . . . . . . . Overview of Stata estimation commands [R] gmm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Generalized method of moments estimation [R] ivprobit . . . . . . . . . . . . . . . . . . . . Probit model with continuous endogenous regressors [R] ivregress . . . . . . . . . . . . . . . . . . . . . . Single-equation instrumental-variables regression [R] ivtobit . . . . . . . . . . . . . . . . . . . . . . Tobit model with continuous endogenous regressors
13 [R] reg3 . . . . . . . . . . . . . . . . Three-stage estimation for systems of simultaneous equations [XT] xthtaylor . . . . . . . . . . . . . . . . Hausman–Taylor estimator for error-components models [XT] xtivreg . . . . . Instrumental variables and two-stage least squares for panel-data models Epidemiology and related [R] binreg . . . . . . . . . . . . . . Generalized linear models: Extensions to the binomial family [R] dstdize . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Direct and indirect standardization [ST] epitab . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Tables for epidemiologists [R] exlogistic . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Exact logistic regression [D] icd9 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ICD-9-CM diagnostic and procedure codes [R] logistic . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Logistic regression, reporting odds ratios [R] roc . . . . . . . . . . . . . . . . . . . . . . . . . . . . Receiver operating characteristic (ROC) analysis [R] rocfit . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Fit ROC models [ST] st . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Survival-time data [R] symmetry . . . . . . . . . . . . . . . . . . . . . . . . . . Symmetry and marginal homogeneity tests [R] tabulate oneway . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . One-way tables of frequencies [R] tabulate twoway . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Two-way tables of frequencies Estimation related [R] BIC note . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Calculating and interpreting BIC [R] constraint . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Define and list constraints [R] eform option . . . . . . . . . . . . . . . . . . . . . . . . . . . . Displaying exponentiated coefficients [R] estimation options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Estimation options [R] fracpoly . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Fractional polynomial regression [R] maximize . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Details of iterative maximization [R] mfp . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Multivariable fractional polynomial models [R] mkspline . . . . . . . . . . . . . . . . . . . . . . . . Linear and restricted cubic spline construction [R] stepwise . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Stepwise estimation Exact statistics [R] bitest . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Binomial probability test [R] centile . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Report centile and confidence interval [R] dstdize . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Direct and indirect standardization [ST] epitab . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Tables for epidemiologists [R] exlogistic . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Exact logistic regression [R] expoisson . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Exact Poisson regression [R] ksmirnov . . . . . . . . . . . . . . . . . . . . . Kolmogorov–Smirnov equality-of-distributions test [R] loneway . . . . . . . . . . . . . . . . . . Large one-way ANOVA, random effects, and reliability [R] ranksum . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Equality tests on unmatched data [R] symmetry . . . . . . . . . . . . . . . . . . . . . . . . . . Symmetry and marginal homogeneity tests [R] tabulate twoway . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Two-way tables of frequencies [R] tetrachoric . . . . . . . . . . . . . . . . . . . . . . . . . . Tetrachoric correlations for binary variables Factor analysis and principal components [R] alpha . . . . . . . . . . Compute interitem correlations (covariances) and Cronbach’s alpha [MV] canon . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Canonical correlations [MV] factor . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Factor analysis [MV] pca . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Principal component analysis [MV] rotate . . . . . . . . . . . . . . . . . . . . . . Orthogonal and oblique rotations after factor and pca [MV] rotatemat . . . . . . . . . . . . . . . . . . . . . Orthogonal and oblique rotations of a Stata matrix
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 18 and 19: 14 [MV] scoreplot . . . . . . . . .
Page 20 and 21: 16 [R] mprobit . . . . . . . . . .
Page 22 and 23: 18 Nonparametric statistics [R] kde
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]
Page 79 and 80:
Author index 75 Lu, J. Y., [TS] pra
Page 81 and 82:
Author index 77 Muirhead, R. J., [M
Page 83 and 84:
Author index 79 Ponce de Leon, A.,
Page 85 and 86:
Author index 81 Schonlau, M., [R] g
Page 87 and 88:
Author index 83 ter Bogt, T., [MV]
Page 89 and 90:
Author index 85 Wichern, D. W., con
Page 91 and 92:
Subject index 87 Subject index ! (n
Page 93 and 94:
Subject index 89 args command, [P]
Page 95 and 96:
Subject index 91 bias corrected and
Page 97 and 98:
Subject index 93 c(minbyte) c-class
Page 99 and 100:
Subject index 95 choice models, con
Page 101 and 102:
Subject index 97 cointegration, con
Page 103 and 104:
Subject index 99 constrained estima
Page 105 and 106:
Subject index 101 cumsp command, [T
Page 107 and 108:
Subject index 103 describe, continu
Page 109 and 110:
Subject index 105 DLL, [P] plugin D
Page 111 and 112:
Subject index 107 end-of-line chara
Page 113 and 114:
Subject index 109 estat, continued
Page 115 and 116:
Subject index 111 FEVD, [TS] Glossa
Page 117 and 118:
Subject index 113 fsave, window sub
Page 119 and 120:
Subject index 115 graph, continued
Page 121 and 122:
Subject index 117 Harrell’s C, [S
Page 123 and 124:
Subject index 119 Im-Pesaran-Shin t
Page 125 and 126:
Subject index 121 invfft() function
Page 127 and 128:
Subject index 123 label values, [P]
Page 129 and 130:
Subject index 125 loading, [MV] Glo
Page 131 and 132:
Subject index 127 markers, [G] mark
Page 133 and 134:
Subject index 129 mband, graph twow
Page 135 and 136:
Subject index 131 missing data, [MI
Page 137 and 138:
Subject index 133 mvdecode command,
Page 139 and 140:
Subject index 135 number to string
Page 141 and 142:
Subject index 137 parameter trace f
Page 143 and 144:
Subject index 139 polytomous logist
Page 145 and 146:
Subject index 141 proportions, [R]
Page 147 and 148:
Subject index 143 rc built-in varia
Page 149 and 150:
Subject index 145 return, [M-2] ret
Page 151 and 152:
Subject index 147 RVI, see relative
Page 153 and 154:
Subject index 149 set, continued fa
Page 155 and 156:
Subject index 151 Sneath and Sokel
Page 157 and 158:
Subject index 153 Stata, continued
Page 159 and 160:
Subject index 155 stset command for
Page 161 and 162:
Subject index 157 svy: truncreg com
Page 163 and 164:
Subject index 159 tests, continued
Page 165 and 166:
Subject index 161 truncating real n
Page 167 and 168:
Subject index 163 variables, contin
Page 169 and 170:
Subject index 165 weights, continue
show all

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