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1 Subject index A adaptive quadrature agreement...14 applications adolescent-alcohol-use data antibiotics data attitudes-to-abortion data children s growth data , 95 dairy-cow data , 245, 246 diffusion-of-innovations data epileptic-fit data essay-grading data , 165, 177 Fife school data , 269 general-health-questionnaire data Georgian birthweight data grade-point-average data Grunfeld investment data Guatemalan immunization data headache data health-care reform data.. 184, 245 high school and beyond data...55, 97 inner-london schools data , 100 jaw-growth data , 95 labor-participation data lip cancer data math-achievement data neighborhood-effects data.. 28, 51, 272 Ohio wheeze data patent data peak-expiratory-flow data... 1, 26, 219, 246, 248 rat-pups data applications, continued respiratory-illness data schizophrenia trial data school retention in Thailand data school-absenteeism data skin-cancer data , 244 smoking-intervention data , 245 state productivity data tax-preparer data...31, 51 toenail infection data , 134 Tower-of-London data twin-neuroticism data...27 U.S. production data unemployment-claims data union membership data vaginal-bleeding data verbal-aggression data , 176 video-ratings data wage-panel data...54 women s employment data attrition B bar plot best linear unbiased predictor...22 between estimator binary response see dichotomous response binomial distribution bivariate normal distribution , 65 BLUP...see best linear unbiased predictor C clogit option, or
2 314 Subject index clustered data...1, 217 column name...22 command clogit describe...55 display egen , 151, 152, 257, 262 encode eq , 278 estimates store...13 generate...2 gllamm , 75, , , gllapred... 23, 46 47, 76 77, 129, 161, 163, 239, , gllasim glm , 149, 189 graph twoway line...33 hausman lincom...43, 156 logit , 149 lrtest , 264 merge...60 ologit , 155 oprobit predict , 73, 105, 228 preserve...33 probit , 149 qnorm recode regress...17, 55, 58 reshape...9, 33, 218 restore sort...33 ssc...12 statsby summarize...59 supclust svmat...18, 210 table tabulate... 17, 258 test...43, 172 twoway function...71, 105 use...2 command, continued xtdes , 112, 150, 184 xtgee xtmixed...10, 70 xtreg...9, 40 xtsum...38 comparative standard error...24 complex level-1 variation...92 conditional independence conditional logistic regression conditional Poisson regression constant counts covariance structure cross-classification , 257 cross-level interaction , 238 crossed error-components model crossed random effects crossover trial cumulative model D diagnostic standard error diagnostics , 264 dichotomous response dropout E egen function anymatch() group() mean()...18, 151 tag() total() egen option, by()...18 elasticity empirical Bayes , , 254, 264 variances endogeneity equation name...22 error components exponential family exposure...182
3 Subject index 315 F fixed effects...5 fixed part fixed-effects estimator , , 196 G gateaux derivative GEE...see generalized estimating equations generalizability coefficient generalizability theory , 271 generalized estimating equations , 197 generalized least squares...42 generalized linear mixed model generalized linear model , gllamm options adapt , 158, 232 bmatrix() cluster() copy...76, 85, 128 denom() eform , 158, 191, 233 eqs().. 75, 191, 232, 237, 276, 284 family() , 201, 276, 284 family(binom) from()...76, 128 fv() gateaux() geqs()...89, 285 i( ) i() , 158, 276, 277, 284 ip() ip(f) lf0() link() , 201, 276, 284 link(logit) link(ologit) link(oprobit) , 166 link(soprobit) lv() marginal nip() , 13, 208, 237 gllamm options, continued noconstant...89, 94 nrf() , 237, 276, 277, 284 offset() peqs() , 285 robust s() , 100, 168, 247, 285 skip , 235 thresh().. 170, 172, 175, 278, 285 us() weight() , 128, 141 gllapred options above() , 163 fac...95 linpred , 92, 279 marginal , 161 mu , 121, 130, 161, 163, 204 nooffset pearson...46 u , 24, 77, 129, 239, 279 ustd , 129, 279 gllasim options fac linpred mu u y GLM...see generalized linear model glm options eform , 186 family() link() link(logit) link(probit) scale(x2) GLMM...see generalized linear mixed model GLS...see generalized least squares graph option, by()...53 graph twoway option, connect(ascending)... 33, 53, 61 growth-curve model , H Hausman specification test
4 316 Subject index heteroskedasticity , 92, 167 hierarchical data higher-level model homoskedasticity I identification incidence-rate ratio intensity intraclass correlation , 37, 66, , 252, 261 inverse link function L latent response , lincom options eform or linear predictor , 276 link function , 276 local macro...23 log linear model log link log odds...see logit logistic regression logit link logit option, or , 155 lrtest option, force M marginal effect , 156 marginal probability , 120, 161 maximum likelihood , missing at random missing data MLE...see maximum likelihood N nested random effects nonparametric maximum likelihood , 285 nonresponse NPML...see nonparametric maximum likelihood O odds offset , 213 ologit options cluster() or ordinal logit model ordinal probit model ordinal response overdispersion , 183, P path diagram , 7, 223, 224 Poisson distribution Poisson model Poisson regression population averaged see marginal probability posterior distribution...20 posterior variance...24 predict options fitted...73, 91 p reffects , 46, 72, 228, 254 rstandard...46 xb...17 prior distribution...19 probit link probit regression proportional-odds model , Q quasilikelihood , R random coefficient random effect...5, 276 random interaction random intercept...5, 276 random slope random-coefficient logistic regression random-coefficient model
5 Subject index 317 random-coefficient Poisson regression random-coefficient proportional-odds model random-intercept logistic regression , random-intercept model random-intercept ordinal probit model random-intercept Poisson regression , random-intercept proportional-odds model reduced form...88 regress options cluster()...34, 55 noconstant...17 robust...55 reliability REML...see restricted maximum likelihood reshape options i() string residuals restricted maximum likelihood S sandwich estimator , 133, 179 scaled probit link scatterplot...58 shrinkage...22 SSC ssc option, replace...12 standardized mortality ratio subject-specific effect subject-specific probability two-way error-components model..249, U underdispersion use option, clear...2 V variance components W within estimator X xtgee option, eform xtmixed options covariance(exchangeable) covariance(identity) covariance(unstructured)...70, 247 mle...11, 16, 38, 68 noconstant...11, 248 reml...16 variance... 11, 226 xtreg options be...40 fe...41 i()...9 mle...9, 16 re...16, 42 T tabulate option, gen()...17 three-level model , three-stage formulation two-level model , two-stage formulation...87
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