Subject index - Stata

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