Subject index - Stata

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6 Subject index base plottypes, [G-3] advanced options base, fvset subcommand, [R] fvset baseline, [ST] Glossary baseline comparisons, [SEM] estat gof, [SEM] example 4 baseline dataset, [ST] stbase baseline hazard and survivor functions, [ST] stcox, [ST] stcox PH-assumption tests, [ST] stcrreg baseline model, [SEM] estat gof, [SEM] example 4, [SEM] methods and formulas for sem, [SEM] Glossary baseline suboption, [G-4] alignmentstyle baseopts option, see sem option baseopts() basis, orthonormal, [P] matrix svd Battese–Coelli parameterization, [XT] xtfrontier Baxter–King filter, [TS] tsfilter, [TS] tsfilter bk Bayes’ theorem, [MV] Glossary Bayesian concepts, [MI] intro substantive Bayesian information criterion, [R] BIC note, [R] estat, [R] estat ic, [R] estimates stats, [R] glm, [R] lrtest, [SEM] estat gof, [SEM] example 4, [SEM] methods and formulas for sem bcal check command, [D] bcal create command, [D] bcal describe command, [D] bcal dir command, [D] bcal load command, [D] bcal bcskew0 command, [R] lnskew0 Bentler–Raykov squared multiple-correlation coefficient, [SEM] estat eqgof Bentler–Weeks matrices, [SEM] intro 7, [SEM] estat framework, [SEM] example 11, [SEM] Glossary Bentler’s invariant pattern simplicity rotation, [MV] rotate, [MV] rotatemat, [MV] Glossary Berndt–Hall–Hall–Hausman algorithm, [M-5] moptimize( ), [M-5] optimize( ), [R] ml beta, see β coefficients, [R] regress density, central, [D] functions noncentral, [D] functions distribution, cumulative, [D] functions cumulative noncentral, [D] functions inverse cumulative, [D] functions inverse cumulative noncentral, [D] functions inverse reverse cumulative, [D] functions reverse cumulative, [D] functions function complement to incomplete, [D] functions incomplete, [D] functions, [M-5] normal( ) betaden() function, [D] functions, [M-5] normal( ) between estimators, [XT] xtivreg, [XT] xtreg, [XT] Glossary between matrix, [MV] Glossary between-cell means and variances, [XT] xtdescribe, [XT] xtsum between-group variance, [PSS] power oneway between-imputation variability, [MI] mi estimate, [MI] mi predict between-subjects design, [PSS] power oneway, [PSS] power twoway, [PSS] power repeated, [PSS] Glossary factor, [PSS] power repeated, [PSS] Glossary variance, [PSS] power repeated BFGS algorithm, see Broyden–Fletcher–Goldfarb– Shanno algorithm bgodfrey, estat subcommand, [R] regress postestimation time series BHHH algorithm, see Berndt–Hall–Hall–Hausman algorithm bias corrected and accelerated, [R] bootstrap postestimation, [R] bstat BIC, see Bayesian information criterion Bickenböller test statistic, [R] symmetry bin() option, [G-2] graph twoway histogram binary files, writing and reading, [P] file binary I/O, [M-5] bufio( ) binary operator, [M-6] Glossary binary outcome model, [PSS] intro, [PSS] GUI, [PSS] power, [PSS] power oneproportion, [PSS] power twoproportions, [PSS] power pairedproportions, [SEM] intro 5, [SEM] example 27g, [SEM] example 28g, [SEM] example 29g, [SEM] example 30g, [SEM] example 31g, [SEM] example 32g, [SEM] example 33g, [SEM] example 34g, also see outcomes, binary binary variable imputation, see imputation, binary binomial distribution, confidence intervals, [R] ci cumulative, [D] functions inverse cumulative, [D] functions inverse reverse cumulative, [D] functions reverse cumulative, [D] functions family regression, [R] binreg probability mass function, [D] functions probability test, [R] bitest test, [PSS] power oneproportion, [PSS] Glossary binomial() function, [D] functions, [M-5] normal( ) binomialp() function, [D] functions, [M-5] normal( ) binomialtail() function, [D] functions, [M-5] normal( ) binormal() function, [D] functions, [M-5] normal( ) binreg command, [R] binreg, [R] binreg postestimation bioequivalence test, [R] pk, [R] pkequiv biopharmaceutical data, see pharmacokinetic data biplot, [MV] biplot, [MV] ca postestimation plots, [MV] Glossary biplot command, [MV] biplot biprobit command, [R] biprobit, [R] biprobit postestimation
Subject index 7 biquartimax rotation, [MV] rotate, [MV] rotatemat, [MV] Glossary biquartimin rotation, [MV] rotate, [MV] rotatemat, [MV] Glossary bisection method, see iteration, bisection method bitest and bitesti commands, [R] bitest bitmap, [G-3] png options, [G-3] tif options bivariate normal function, [D] functions bivariate probit regression, [R] biprobit, [SVY] svy estimation biweight kernel function, [R] kdensity, [R] lpoly, [R] qreg, [TE] teffects overlap biweight regression estimates, [R] rreg biyearly() function, [U] 25 Working with categorical data and factor variables bk, tsfilter subcommand, [TS] tsfilter bk blanks, removing from strings, [D] functions block diagonal covariance, [MV] mvtest covariances block diagonal matrix, [M-5] blockdiag( ) block exogeneity, [TS] vargranger blockdiag() function, [M-5] blockdiag( ) blog, see Stata Blog blogit command, [R] glogit, [R] glogit postestimation Blundell–Bond estimator, [XT] xtdpd, [XT] xtdpdsys BLUPs, [ME] me, [ME] mixed, [ME] mixed postestimation, [ME] Glossary bofd() function, [D] datetime business calendars, [D] functions, [M-5] date( ) bold font, [G-4] text Bonferroni’s multiple-comparison adjustment, see multiple comparisons, Bonferroni’s method bootstrap, [SEM] Glossary estimation, [SVY] bootstrap options, [SVY] svy bootstrap, [SVY] variance estimation, [SVY] Glossary sampling and estimation, [P] postfile, [R] bootstrap, [R] bsample, [R] bstat, [R] qreg, [R] rocreg, [R] simulate standard errors, [R] vce option, [SVY] svy bootstrap, [SVY] variance estimation, [XT] vce options bootstrap prefix command, [R] bootstrap, [R] bootstrap postestimation bootstrap, estat subcommand, [R] bootstrap postestimation bootstrap options, [SVY] bootstrap options border around plot region, suppressing, [G-3] region options borders misplacement of, [G-3] added text options suppressing, [G-4] linestyle suppressing around plot region, [G-3] region options Boston College archive, see Statistical Software Components archive bottom suboption, [G-4] alignmentstyle boundary kernel, [ST] Glossary boundary solution, [MV] Glossary Box–Cox power transformations, [R] lnskew0 regression, [R] boxcox Box M test, [MV] mvtest covariances box plots, [G-2] graph box box, graph subcommand, [G-2] graph box boxcox command, [R] boxcox, [R] boxcox postestimation Box’s conservative epsilon, [R] anova bprobit command, [R] glogit, [R] glogit postestimation break, [M-2] break break command, [P] break Break key, [U] 9 The Break key, [U] 16.1.4 Error handling in do-files interception, [P] break, [P] capture processing, [M-5] setbreakintr( ) breakkey() function, [M-5] setbreakintr( ) breakkeyreset() function, [M-5] setbreakintr( ) Breitung test, [XT] xtunitroot breitung, xtunitroot subcommand, [XT] xtunitroot Breusch–Godfrey test, [R] regress postestimation time series Breusch–Pagan Lagrange multiplier test, [XT] xtreg postestimation Breusch–Pagan test, [MV] mvreg, [R] sureg Breusch–Pagan/Cook–Weisberg test for heteroskedasticity, [R] regress postestimation brier command, [R] brier Brier score decomposition, [R] brier broad type, [M-6] Glossary browse command, [D] edit browse, view subcommand, [R] view Broyden–Fletcher–Goldfarb–Shanno algorithm, [M-5] moptimize( ), [M-5] optimize( ), [R] ml Broyden–Powell method, [M-5] solvenl( ) BRR, see balanced repeated replication brr options, [SVY] brr options bsample command, [R] bsample bsqreg command, [R] qreg, [R] qreg postestimation bstat command, [R] bstat bstyle() option, [G-3] barlook options bufbfmtisnum() function, [M-5] bufio( ) bufbfmtlen() function, [M-5] bufio( ) bufbyteorder() function, [M-5] bufio( ) buffered I/O, [M-5] bufio( ) bufget() function, [M-5] bufio( ) bufio() function, [M-5] bufio( ) bufmissingvalue() function, [M-5] bufio( ) bufput() function, [M-5] bufio( ) build, ssd subcommand, [SEM] ssd Builder (GUI), [SEM] Glossary building a graph, [G-1] graph intro built-in variables, [U] 11.3 Naming conventions, [U] 13.4 System variables ( variables) built-in, class, [P] class bullet symbol, [G-4] text
Page 1 and 2: Subject index Symbols ! (not), see
Page 3 and 4: Subject index 3 alternative, contin
Page 5: Subject index 5 autoregressive, con
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 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,
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
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Subject index 57 matmissing() funct
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Subject index 59 means, continued g
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Subject index 61 mindices, estat su
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Subject index 63 mreldifre() functi
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Subject index 65 nbinomialtail() fu
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Subject index 67 nonparametric anal
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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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