stata9.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 SJ-5-1 gn0017
.c sj
.a N. J. Cox
.t A brief history of Stata on its 20th anniversary
.k tech-nical bulle-tin upd-ates upd-ating journal-s stb-s backward
.k stata lang-uage histor-y prog-ramming prog-rams win-dows meeting-s
.k creat-e creat-ed software statalist design-s platf-orms group-s
.k gould becketti c ado-files file-s .ado user-s writ-ten compat-ibility
.k add-itions web www internet lang-uage unix mac-intosh
.k anniversary stata-quest quest crc kit-s
.x
	Q1/05	SJ 5(1):2--18					 (no commands)
	history and timeline of Stata's development

.e SJ-5-1 gn0018
.c sj
.a H. J. Newton
.t A conversation with William Gould
.k gould synt-ax design-s weight-ed weight-s weight-ing
.k ado-files file-s do-files histor-y anniversary kit-s stata
.k tech-nical bulle-tin journal-s stb-s crc
.x
	Q1/05	SJ 5(1):19--31					 (no commands)
	interview with William Gould, President of StataCorp

.e SJ-5-1 gn0019
.c sj
.a S. Becketti
.t In at the creation
.k gould becketti histor-y stata design-s software creat-e creat-ed
.k prog-ramming prog-rams pars-e pars-ing pause
.x
	Q1/05	SJ 1(5):32--34					 (no commands)
	a first-hand account of Stata's early history

.e SJ-5-1 gn0020
.c sj
.a L. Hamilton
.t A short history of Statistics with Stata
.k book-s text-s software stata prog-ramming prog-rams
.k histor-y stat-istics reg-ressions anal-ysis data-sets set-s
.k anniversary graph-s graph-ics anniversary plot-s
.x
	Q1/05	SJ 5(1):35--37					 (no commands)
	a history of ^Statistics with Stata^, as told by its author

.e SJ-5-1 gn0021
.c sj
.a T. Lachenbruch
.t Memories of Stata
.k anniversary histor-y stata miss-ing value-s
.x
	Q1/05	SJ 5(1):38					(no commands)
	author recalls first experiences with Stata

.e SJ-5-1 gn0022
.c sj
.a J. M. Hilbe
.t The birth of the bulletin
.k anniversary histor-y stata crc stb-s stata tech-nical bulle-tin journal-s
.k prog-rams
.x
	Q1/05	SJ 5(1):39--40					 (no commands)
	history of the ^Stata Technical Bulletin^

.e SJ-5-1 gn0023
.c sj
.a J. T. Anagnoson
.t The history of StataQuest
.k anniversary histor-y stata-quest quest crc duxbury
.x
	Q1/05	SJ 5(1):41--42					 (no commands)
	a brief history of the development of StataQuest and Stata

.e SJ-5-1 gn0024
.c sj
.a P. Royston
.t Stata at 20: a personal view
.k anniversary histor-y stata backward compat-ibility biturbo
.k kit-s ado-files file-s .ado do-files version-s control stage
.x
	Q1/05	SJ 5(1):43--45					 (no commands)
	an example of backwards compatibility and a brief history
	of Stata

.e SJ-5-1 st0080
.c sj
.a C. F. Baum
.t Stata: The language of choice for time-series analysis?
.k anniversary
.k stata lang-uage rollreg time-series series anal-ysis data-sets set-s
.k model-s model-ing mov-ing win-dow reg-ressions histor-y panel-s
.k manage-ment obs-ervations egen graph-s graph-ics graph-ing arima
.k oper-ators summ-arize newey-west west test-s test-ing unit root-s
.k dickey fuller phillips-perron perron lag-s dfuller dfgls ivreg2
.k tsline tsline tsspell tsgraph kpss kwiatkowski tsmktim mvsumm mvcorr
.k stat-istics
.x
	Q1/05	SJ 5(1):46--63					 (no commands)
	discusses the use of Stata for the analysis of time series
	and panel data.

.e SJ-5-1 @net: sj 5-1 st0081!st0081@
.c sj
.a M. N. Mitchell and X. Chen
.t Visualizing main effects & interactions for binary logit mod.
.k main effect-s bina-ry logis-tic logit reg-ressions model-s pred-ictions
.k prob-ability cov-ariances odds ratio-s graph-s graph-ics graph-ing
.k gen-erate var-iables dum-my dum-mies vibl viblicc viblidb vibligraph
.k viblmcc viblmgraph pred-icted interact-ions prvalue postgr3 xi3 prgen
.k spost spostado
.k stat-istics
.x
	(help @vibl@, @viblicc@, @viblidb@, @vibligraph@, @viblmcc@, @viblmdb@,
	@viblmgraph@ if installed)
	Q1/05	SJ 5(1):64--82
	presents new package ^vibl^ as visualization tool for
	interpreting main effects and interactions in logit models
	when using predicted probabilities

.e SJ-5-1 pr0015
.c sj
.a I. Watson
.t Further proc. of estimation results: Basic prog. with matrices
.k matr-ices matr-ix prog-ramming prog-rams est-imates est-imation
.k stat-istics result-s adjust-ed list-s display-ing summ-ary summ-arize
.k forvalues func-tions spread-sheets j
.x
	Q1/05	SJ 5(1):83--91					 (no commands)
	processing estimation results within Stata instead of
	using a 3rd party program, such as a spreadsheet editor

.e SJ-5-1 @net: sj 5-1 st0082!st0082@
.c sj
.a B. Jann
.t Tabulation of multiple responses
.k mult-iple response-s var-iables test-s test-ing
.k tab-ulate tab-ulations data-sets set-s manage-ment tabstat
.k _mrsvmat mrgraph mrtab one-way two-way format-s format-ting
.k format-ted like-lihood ratio-s graph-s graph-ics graph-ing
.k plot-s bar-s indica-tor polyt-omous
.o @_mrsvmat@, @mrgraph@, @mrtab@ if installed
.x
	Q1/05	SJ 5(1):92--122
	introduces new commands for the computation of one- and
	two-way tables of multiple responses

.e SJ-5-1 @net:sj 5-1 st0013_1!st0013_1@
.c sj
.a F. M.-S. Barthel, P. Royston & A. Babiker
.t Sample size calculation: Update
.k stat-istics samp-les size determ-ination test-s test-ing
.k log-ranks rank-s box-es menu-s dial-ogs dial-ogues time vary-ing haz-ards
.k cross-over tarone ware harrington fleming trend surviv-al bina-ry outcome-s
.k fail-ure rct-s rand-omized control-led trial-s ernull errange
.k art one-sided alpha artbin artbindlg artformatnos artmenu artprep
.k artsurv artsurvdlg
.x
	(help @artbin@, @artbindlg@, @artmenu@, @artprep@, @artsurv@,
	@artsurvdlg@, @artwhastsnew@ if installed)
	Q1/05	SJ 5(1):123--129
	an update to a menu-driven front end for complex sample size
	calculation in randomized controlled trials with a survival
	or a binary outcome; renamed ^ART^

.e SJ-5-1 gn0025
.c sj
.a R. Newson
.t Review of ^Generalized Latent Variable Modeling^
.k book-s text-s review skrondal rabe-hesketh hesketh
.k stat-istics latent model-s gen-eralized model-ing linear glm
.k gllamm glvm
.x
	Q1/05	SJ 5(1):130--133				 (no commands)
	book review of ^Generalized Latent Variable Modeling^ by
	Skrondal and Rabe-Hesketh

.e SJ-5-1 dm0010
.c sj
.a U. Kohler
.t Stata tip 16: Using ^input^ to generate variables
.k tip gen-erate input data-sets set-s manage-ment var-iables
.x
	Q1/05	SJ 5(1):134					 (no commands)
	tips for using ^input^ to generate variables

.e SJ-5-1 dm0011
.c sj
.a N. J. Cox
.t Stata tip 17: Filling in the gaps
.k tip fillin gap-s data-sets set-s manage-ment fill
.k cross structure obs-ervations
.x
	Q1/05	SJ 5(1):135--136				 (no commands)
	tips for using ^fillin^ to fill in gaps in a rectangular
	data structure

.e SJ-5-1 gn0026
.c sj
.a S. Driver
.t Stata tip 18: Making keys functional
.k tip key-board edit-ing f-keys key-s global-ly def-ine
.x
	Q1/05	SJ 5(1):137--138				 (no commands)
	tips for creating custom definitions for F-keys in Stata

.e SJ-5-1 @net: sj 5-1 dm86_1!dm86_1@
.c sj
.a N. J. Cox
.t Software update for ^swor^
.k samp-les data-sets set-s manage-ment rand-om samp-ling draw witho-ut
.k replacem-ent strat-ified size-s swor
.o @swor@ if installed
.x
	Q1/05	SJ 5(1):139
	^swor^ rewritten to use ^sort, stable^ for reproducibility and
	^sortpreserve^ for compatibility; help file also modernized

.e SJ-5-1 @net: sj 5-1 snp12_1!snp12_1@
.c sj
.a P. Sasieni
.t Software update for ^npt_s^
.k nptrend stat-istics
.k test-s test-ing trend nonpar-ametric non param-etric order-ed group-s
.k strat-ified strat-um strata strat-ification npt_s dotplot srank
.o @npt_s@ if installed
.x
	Q1/05	SJ 5(1):139
	bug fix for ^npt_s^

.e SJ-5-1 @net: sj 5-1 st0053_1!st0053_1@
.c sj
.a R. Gutierrez, J. M. Linhart, and J. S. Pitblado
.t Software update for ^locpoly^
.k linear local-ly poly-nomials smooth-ing kern-els
.k reg-ressions locpoly plugin-s dll-s
.x
	Q1/05	SJ 5(1):139
	(help @locpoly@ if installed)
	bug fix for ^locpoly^

.e SJ-5-1 @net: sj 5-1 st0071_1!st0071_1@
.c sj
.a M. Lokshin and Z. Sajaia
.t Software update for ^movestay^
.k stat-istics est-imation est-imates reg-ressions ml-e max-imum like-lihood
.k switch-ing endog-enous limited depend-ent var-iables
.k movestay movestay_d2 mspredict
.o @movestay@ if installed
.x
	Q1/05	SJ 5(1):139
	bug fix for ^movestay^

.e SJ-4-4 @net: sj 4-4 gr0008!gr0008@
.c sj
.a M. Pisati
.t Simple thematic mapping
.k choro-pleth theme themat-ic propor-tional symb-ols dev-iations
.k dot-s label-s map-ping spatial distrib-utions graph-s graph-ics
.k graph-ing plot-s area-s point-s data-sets set-s mark-ers mark-s
.k shad-es shad-ing tmap_choropleth tmap_deviation tmap_dot
.k tmap_label tmap_propsymbol tmap propsymbol
.o @tmap@ if installed
.x
	Q4/04	SJ 4(4):361--378
	package for drawing choropleth, proportional symbol,
	deviation, dot, and label thematic maps

.e SJ-4-4 @net: sj 4-4 st0074!st0074@
.c sj
.a R. Newson
.t Generalized power calculations for GLMs and more
.k stat-istics est-imates est-imation detect-able
.k power-s alpha signif-icant signif-icance level-s diff-erences ratio-s
.k samp-les samp-ling num-bers stand-ard dev-iations influ-ence
.k func-tions design-s gen-eralized linear model-s glm propor-tions
.k arith-metic mean-s alge-braic geom-etric odds calcul-ate calcul-ations
.k sampsi point-s plot-s curv-es size-s rank-sums case-s control-s
.k powercal
.o @powercal@ if installed
.x
	Q4/04	SJ 4(4):379--401
	generalized power calculations from power, significance
	level, detectable difference, sample number, and standard
	deviation of the influence function

.e SJ-4-4 st0075
.c sj
.a Z. Fewell, M.A. Hernan, F. Wolfe, K. Tilling, H. Choi, J.A.C. Sterne
.t Controlling time-dep. confounding using marg. struct. models
.k stat-istics est-imates est-imation
.k marginal structur-al model-s caus-al weight-ed weight-s weight-ing
.k surviv-al logis-tic confound-ing reg-ressions anal-ysis
.k longi-tudinal expos-ures effect-s cohort panel-s studies study
.k time depend-ent inv-erse prob-ability treat-ments spbase censor-ed
.k censor-ing
.x
	Q4/04	SJ 4(4):402--420				 (no commands)
	describes the use of marginal structural models to
	estimate exposure or treatment effects in the presence
	of time-dependent confounders affected by prior treatment

.e SJ-4-4 @net: sj 4-4 st0076!st0076@
.c sj
.a M. E. Reichenheim
.t Confidence intervals for the kappa statistic
.k stat-istics
.k kapci reliab-ility kap-pa conf-idence inter-vals interrat-er
.k agree-ment rater-s rat-ings kapci _bs_cross
.o @kapci@ if installed
.x
	Q4/04	SJ 4(4):421--428
	confidence intervals for the kappa statistic

.e SJ-4-4 @net: sj 4-4 st0077!st0077@
.c sj
.a M. Bottai and N. Orsini
.t CIs for the variance comp. of random-effects linear models
.k xtreg ml-e max-imum like-lihood variance-s compon-ents scor-e test-s
.k test-ing rand-om effect-s linear model-s stat-istics anal-ysis reg-ressions
.k distrib-utions asymp-totic ratio-s conf-idence inter-vals reg-ions
.k est-imates est-imating est-imation xtvc
.o @xtvc@ if installed
.x
	Q4/04	SJ 4(4):429--435
	confidence intervals for the variance components of
	random-effects linear regression models.

.e SJ-4-4 @net: sj 4-4 st0078!st0078@
.c sj
.a B. F. Braumoeller
.t Boolean logit and probit in Stata
.k mlboolean boolean probit logit dicho-tomous depend-ent var-iables
.k mult-iple caus-al path-s complex rand-om util-ity logic-al link
.k func-tions latent model-s post
.k stat-istics est-imates est-imation est-imating
.k mlboolfirst mlboollog mlboolpred mlboolprep mlboolprob
.o @mlboolean@ if installed
.x
	Q4/04	SJ 4(4):436--441
	discusses Boolean logit and probit models that allow
	researchers to model binary outcomes as the results of
	Boolean interactions among interdependent causal processes

.e SJ-4-4 st0079
.c sj
.a A. McDowell
.t Help desk: Seemingly unrelated reg. with unbalanced equations
.k sur-e sureg reg3 seemingly unrel-ated reg-ressions unbal-anced eq-uations
.k general-ized gee append data-sets set-s stat-istics est-imates est-imating
.k est-imation fit model-s xt-gee
.x
	Q4/04	SJ 4(4):442--448				 (no commands)
	demonstrates how to estimate the parameters of a system
	of seemingly unrelated regressions when the equations
	are unbalanced

.e SJ-4-4 @net: sj 4-4 gr0009!gr0009@
.c sj
.a N. J. Cox
.t Speaking Stata: Graphing model diagnostics
.k stat-istics graph-ics graph-ing graph-s plot-s
.k diagnos-tics reg-ressions model-s response-s var-iables
.k prob-ability predict resid-uals mspline two-way abs-olute
.k value-s root-s hetero-skedasticity hetero-skedasticity square-d