stata2.key

是一个经济学管理应用软件 很难找的 但是经济学学生又必须用到

.e [ST] stset
.c manual
.t Declare data to be survival-time data
.k st-set streset stat-istics
.k surviv-al time data-sets set-s fail-ure anal-ysis reliab-ility duration
.o @stset@

.e [ST] stsplit
.c manual
.t Split and join time-span records
.k st stsplit stjoin stat-istics
.k surviv-al time-span data fail-ure anal-ysis reliab-ility duration
.k split join span record-s lexis
.o @stsplit@

.e [ST] stsum
.c manual
.t Summarize survival-time data
.k stsum stat-istics incid-ence rate-s risk
.k surviv-al time data fail-ure anal-ysis st reliab-ility duration
.k summ-arize summ-ary descrip-tive kaplan-meier meier
.o @stsum@

.e [ST] sttocc
.c manual
.t Convert survival-time data to case-control data
.k sttocc stat-istics
.k surviv-al time data-sets set-s fail-ure anal-ysis st reliab-ility duration
.k case-controls control-s convert
.o @sttocc@

.e [ST] sttoct
.c manual
.t Convert survival-time data to count-time data
.k sttoct stat-istics
.k surviv-al time data-sets set-s fail-ure anal-ysis st reliab-ility duration
.k convert count-s total-s
.o @sttoct@

.e [ST] stvary
.c manual
.t Report variables that vary over time
.k stvary stat-istics
.k surviv-al time data fail-ure anal-ysis st reliab-ility duration
.k var-iables vary-ing
.o @stvary@

.e [ST] glossary
.c manual
.t Glossary of terms
.k surviv-al fail-ure anal-ysis time
.k epi-demiological epi-demiology tabl-es tab-ulate
.k glossary

.e [SVY] survey
.c manual
.t Introduction to survey commands
.k svy-: stat-istics survey-s command-s intro-duction
.k est-imation est-imates reg-ressions
.k psu deft meft deff meff
.k clus-ters samp-les samp-ling strat-ified strat-a data
.k strat-um design-s pw-eights robust meth-ods huber clus-tering clus-tered
.k prob-ability weight-ing weight-s white-s
.k brr bal-anced repeat-ed replic-ations jack-knifed jack-nifed
.o @survey@

.e [SVY] brr_options
.c manual
.t Additional options for BRR variance estimation
.k stat-istics svy-: survey-s opt-ions
.k brr bal-anced repeat-ed replic-ations
.k fay-s hadamard variance-s est-imation est-imates brr_options
.o @brr_options@

.e [SVY] direct standardization
.c manual
.t Direct stand. of means, proportions, & ratios
.k stat-istics svy-: survey-s
.k stand-ardized stand-ardization direct stand-ardisation stand-ardised stdize
.k mean-s propor-tions ratio-s

.e [SVY] eform_option
.c manual
.t Displaying exponentiated coefficients
.k stat-istics svy-: survey-s opt-ions
.k eform or rrr irr hr
.k exp-onentiated exp-onentiation coef-ficients display-ing eform_option
.o @eform_option@

.e [SVY] estat
.c manual
.t Postestimation statistics for survey data
.k stat-istics svy-: survey-s data-set set-s
.k est-imation est-imates post-estimations post command-s
.k estat svyset effect-s lcef-fects size vce
.k deff deft meff meft design-s srs-subpop subpop-ulations pop-ulations
.o @svy estat@

.e [SVY] estimation options
.c manual
.t Common options of estimation commands
.k stat-istics est-imation est-imates opt-ions
.k constrain-ts clus-ters robust level conf-idence
.k noconstant no constant-s offset expos-ures
.k i t quadra-ture within group-s corr-elate corr-elations
.k exch-angeable scale-s
.o @estimation options@

.e [SVY] jackknife_options
.c manual
.t Additional options for jackknife variance est.
.k stat-istics svy-: survey-s opt-ions
.k variance-s est-imation est-imates jack-knifed jack-nifed
.o @jackknife_options@

.e [SVY] ml for svy
.c manual
.t Maximum pseudolikelihood estimation for survey data
.k stat-istics ml-e prog-ramming prog-rams est-imation max-imum like-lihood
.k command-s pseudo survey-s svy-:

.e [SVY] poststratification
.c manual
.t Poststratification for survey data
.k stat-istics svy-: survey-s data
.k strat-a strat-um strat-ified strat-ification
.k post-stratum post-stratified post-stratification
.k postweight svyset

.e [SVY] subpopulation estimation
.c manual
.t Subpopulation estimation for survey data
.k stat-istics svy-: survey-s data
.k est-imation est-imates subpop-ulations pop-ulations

.e [SVY] svy
.c manual
.t The survey prefix command
.k svy-: : survey-s data command-s prefix stat-istics intro-duction
.k est-imation est-imates psu deft meft deff meff subpop-ulations pop-ulations
.k clus-ters samp-les samp-ling strat-ified strat-a
.k strat-um design-s pw-eights robust meth-ods huber clus-tering clus-tered
.k prob-ability weight-ing weight-s white-s
.k brr bal-anced repeat-ed replic-ations jack-knifed jack-nifed
.o @svy@

.e [SVY] svy brr
.c manual
.t Balanced repeated replication for survey data
.k svy-: brr-: : survey-s data command-s prefix stat-istics
.k est-imation est-imates bal-anced repeat-ed replic-ations
.k fay-s hadamard variance-s subpop-ulations pop-ulations
.o @svy brr@

.e [SVY] svy jackknife
.c manual
.t Jackknife estimation for survey data
.k svy-: jack-knife: jack-: : survey-s data command-s prefix stat-istics
.k est-imation est-imates jack-knifed jack-nifed
.k variance-s subpop-ulations pop-ulations
.o @svy jackknife@

.e [SVY] svy postestimation
.c manual
.t Postestimation tools for svy
.k pred-ictions
.k stat-istics est-imation est-imates
.k svy-: survey-s post-estimations post
.o @svy postestimation@

.e [SVY] svy: heckman
.c manual
.t Heckman selection model for survey data
.k svy-: stat-istics survey-s command-s
.k est-imation est-imates reg-ressions subpop-ulations pop-ulations
.k brr bal-anced repeat-ed replic-ations jack-knifed jack-nifed
.k heckman svyheckman svy:heckman selec-tion model-s bias-ed
.k linear mill-s ratio-s multiv-ariate partici-pation ml-e
.k max-imum like-lihood robust meth-ods clus-ters clus-tering clus-tered
.k scor-es samp-le two-step step consist-ent efficient
.o @svy: heckman@

.e [SVY] svy: heckman postestimation
.c manual
.t Postestimation tools for svy: heckman
.k pred-ictions
.k stat-istics est-imation est-imates
.k svy-: heckman survey-s post-estimations post
.k inv-erse mill-s ratio-s haz-ards nonsel-ection selec-tion
.o @svy: heckman postestimation@

.e [SVY] svy: heckprob
.c manual
.t Probit regression with selection for survey data
.k svy-: stat-istics survey-s command-s
.k est-imation est-imates reg-ressions subpop-ulations pop-ulations
.k brr bal-anced repeat-ed replic-ations jack-knifed jack-nifed
.k heckprob probit selec-tion
.k ml-e max-imum like-lihood robust meth-ods clus-ters
.k clus-tering clus-tered scor-es samp-le
.k bina-ry outcome-s dicho-tomous model-s
.o @svy: heckprob@

.e [SVY] svy: heckprob postestimation
.c manual
.t Postestimation tools for svy: heckprob
.k pred-ictions
.k stat-istics est-imation est-imates
.k svy-: heckprob survey-s post-estimations post
.k marginal prob-ability selec-tion probit
.o @svy: heckprob postestimation@

.e [SVY] svy: intreg
.c manual
.t Censored and interval regression for survey data
.k svy-: stat-istics survey-s command-s
.k est-imation est-imates reg-ressions subpop-ulations pop-ulations
.k brr bal-anced repeat-ed replic-ations jack-knifed jack-nifed
.k intreg interv-al
.k censor-ing censor-ed left right point-s
.k ml-e max-imum like-lihood
.o @svy: intreg@

.e [SVY] svy: intreg postestimation
.c manual
.t Postestimation tools for svy: intreg
.k pred-ictions
.k stat-istics est-imation est-imates
.k svy-: intreg survey-s post-estimations post
.o @svy: intreg postestimation@

.e [SVY] svy: ivreg
.c manual
.t Instrumental variables regression for survey data
.k svy-: stat-istics survey-s command-s
.k est-imation est-imates reg-ressions subpop-ulations pop-ulations
.k brr bal-anced repeat-ed replic-ations jack-knifed jack-nifed
.k iv-reg 2sls robust
.k clus-ters clus-tering clus-tered system-s simult-aneous eq-uations
.k instrum-ental var-iables two stage least sq-uares linear
.k endog-enous exog-enous stochastic regressor-s
.o @svy: ivreg@

.e [SVY] svy: ivreg postestimation
.c manual
.t Postestimation tools for svy: ivreg
.k pred-ictions
.k stat-istics est-imation est-imates
.k svy-: iv-reg survey-s post-estimations post
.o @svy: ivreg postestimation@

.e [SVY] svy: logistic
.c manual
.t Logistic reg., reporting odds ratios, for survey data
.k svy-: stat-istics survey-s command-s
.k est-imation est-imates reg-ressions subpop-ulations pop-ulations
.k brr bal-anced repeat-ed replic-ations jack-knifed jack-nifed
.k logis-tic logit
.k area prob-ability weight-ing robust meth-ods samp-ling samp-les
.k clus-ters pw-eights clus-tering dicho-tomous bina-ry outcome-s model-s ml-e
.k max-imum like-lihood risk-s linear epi-demiological epi-demiology
.k specifica-tion err-ors omit-ted
.k case-controls control-s specifici-ty covariate-s patt-erns
.k odds ratio-s project-ion var-iables sensitiv-ity hosmer lemeshow
.k huber white-s weight-ed stand-ard std bias-ed sandw-ich
.o @svy: logistic@

.e [SVY] svy: logistic postestimation
.c manual
.t Postestimation tools for svy: logistic
.k pred-ictions
.k stat-istics est-imation est-imates
.k svy-: logis-tic logit survey-s post-estimations post
.o @svy: logistic postestimation@

.e [SVY] svy: logit
.c manual
.t Logistic regression, reporting coef., for survey data
.k svy-: stat-istics survey-s command-s
.k est-imation est-imates reg-ressions subpop-ulations pop-ulations
.k brr bal-anced repeat-ed replic-ations jack-knifed jack-nifed
.k logis-tic logit
.k prob-ability weight-ing robust meth-ods samp-ling samp-les clus-ters
.k pw-eights clus-tering max-imums like-lihood ml-e logis-tic
.k bina-ry outcome-s model-s dicho-tomous risk-s ml-e
.k step-wise odds ratio-s
.k huber white-s weight-ed stand-ard err-ors std bias-ed sandw-ich
.o @svy: logit@

.e [SVY] svy: logit postestimation
.c manual
.t Postestimation tools for svy: logit
.k pred-ictions
.k stat-istics est-imation est-imates
.k svy-: logis-tic logit survey-s post-estimations post
.o @svy: logit postestimation@

.e [SVY] svy: mean
.c manual
.t Estimate means for survey data
.k svy-: stat-istics survey-s command-s
.k est-imation est-imates reg-ressions subpop-ulations pop-ulations
.k brr bal-anced repeat-ed replic-ations jack-knifed jack-nifed
.k svymean mean-s ave-rages psu fpc
.k display geom-etric harmon-ic arith-metic conf-idence inter-vals
.k stand-ard err-ors std variance-s strat-ified strat-a
.k stand-ardized stand-ardization direct stand-ardisation stand-ardised stdize
.k clus-ters samp-les samp-ling data
.k strat-um design-s pw-eights robust meth-ods huber clus-tering clus-tered
.k prob-ability weight-ing weight-s white-s deff meff deft meft
.o @svy: mean@

.e [SVY] svy: mean postestimation
.c manual
.t Postestimation tools for svy: mean
.k pred-ictions
.k stat-istics est-imation est-imates
.k svy-: mean-s survey-s post-estimations post
.o @svy: mean postestimation@

.e [SVY] svy: mlogit
.c manual
.t Multinomial logistic regression for survey data
.k svy-: stat-istics survey-s command-s
.k est-imation est-imates reg-ressions subpop-ulations pop-ulations
.k brr bal-anced repeat-ed replic-ations jack-knifed jack-nifed
.k mlogit multin-omial
.k polyt-omous logis-tic logit cat-egorical ml-e max-imum like-lihood
.k case-controls control-s odds ratio-s risk-s model-s
.k constrain-ed constrain-ts robust meth-ods clus-ters clus-tering clus-tered
.k scor-es mcfadden-s choice
.o @svy: mlogit@

.e [SVY] svy: mlogit postestimation
.c manual
.t Postestimation tools for svy: mlogit
.k pred-ictions
.k stat-istics est-imation est-imates
.k svy-: mlogit survey-s post-estimations post
.o @svy: mlogit postestimation@

.e [SVY] svy: nbreg
.c manual
.t Negative binomial regression for survey data
.k svy-: stat-istics survey-s command-s
.k est-imation est-imates reg-ressions subpop-ulations pop-ulations
.k brr bal-anced repeat-ed replic-ations jack-knifed jack-nifed
.k nbreg gnbreg
.k neg-ative binom-ial ml-e max-imum like-lihood
.k surviv-al fail-ure anal-ysis time model-s count-s incid-ence rate-s
.k ratio-s expos-ures poisson distrib-utions goodness fit total-s
.k epi-demiological epi-demiology reliab-ility duration
.k robust meth-ods clus-ters clus-tering clus-tered scor-es
.o @svy: nbreg@

.e [SVY] svy: nbreg postestimation
.c manual