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-4-1 gr0003
.c sj
.a N. J. Cox
.t Speaking Stata: Graphing distributions
.k graph-s graph-ics graph-ing distrib-utions quantile-s univar-iate
.k diagnos-tics hist-ograms spikeplot spike-s plot-s plot-ting
.k dot-s one-way kdensity kern-el dens-ity skew-ness q-qplots
.k transfo-rmations width bin-s log-arithmic root-s scale-s est-imation
.k rug distplot qplot skewplot dotplot onewayplot
.x
	Q1/04	SJ 4(1):66--88					 (no commands)
	a review of official and user-written commands for
	graphing univariate distributions; includes tricks
	beyond what is obviously and readily available

.e SJ-4-1 gn0010
.c sj
.a L. Audige
.t Review of Veterinary Epidemiologic Research
.k epi-demiological epi-demiology data-sets samp-ling samp-les
.k test-s test-ing meas-ures meas-urements
.k review book-s book-store veterinary dohoo martin stryhn research
.x
	Q1/04	SJ 4(1):89--92					 (no commands)
	book review of ^Veterinary Epidemiologic Research^
	by Dohoo, Martin, and Stryhn (2003)

.e SJ-4-1 gn0011
.c sj
.a P. Ryan
.t Stata tip 4: Using display as an online calculator
.k display util-ity calcul-ate calcul-ator scal-ars expr-essions tip
.x
	Q1/04	SJ 4(1):93					 (no commands)
	tips for using the @display@ command

.e SJ-4-1 dm0005
.c sj
.a R. Newson
.t Stata tip 5: Ensuring programs preserve dataset sort order
.k sort-preserve preserve prog-rams prog-ramming sort-ing data-sets set-s tip
.x
	Q1/04	SJ 4(1):94					 (no commands)
	tip for using the ^sortpreserve^ directive in programming
	to ensure leaving the data in original order

.e SJ-4-1 dm0006
.c sj
.a N. J. Cox
.t Stata tip 6: Inserting awkward characters in the plot
.k char prog-ramming prog-rams charac-ters descrip-tions describ-e
.k ansi data-sets set-s tip
.k graph-s graph-ics graph-ing plot-s
.x
	Q1/04	SJ 4(1):95--96					 (no commands)
	tips for using the ^char()^ function with graphics

.e SJ-4-1 @net:sj 4-1 st0037_1!st0037_1@
.c sj
.a P. van Kerm
.t Software update for ^akdensity0^
.k stat-istics kern-el dens-ity adaptive est-imators est-imation est-imates
.k univar-iate smooth-ing smooth-ers nonpar-ametric non param-etric local-ly
.k band-width width bands gauss-ian epan-echnikov distrib-utions var-iables
.k variability graph-ics graph-ing graph-s akdensity-0
.o @akdensity0@ if installed
.x
	Q1/04	SJ 4(1):97
	bug fix for ^akdensity0^

.e SJ-4-1 @net:sj 4-1 gr0002_1!gr0002_1@
.c sj
.a S. Juul
.t Software update for ^lean2.scheme^
.k graph-s graph-ics graph-ing scheme-s
.k default style-s color-style .gph gph lean1 lean2
.x
	Q1/04	SJ 4(1):97
	software update for ^lean2.scheme^

.e SJ-4-1 @net:sj 4-1 gr42_2!gr42_2@
.c sj
.a N. J. Cox
.t Software update for Quantile plots, generalized; renamed ^qplot^
.k graph-s graph-ing graph-ics plot-s quantile-s quantil2 qplot
.o @qplot@ if installed
.x
	Q1/04	SJ 4(1):97
	software update for ^quantil2^, now renamed ^qplot^

.e SJ-4-1 @net:sj 4-1 ip24_1!ip24_1@
.c sj
.a F. Zimmerman
.t Software update for ^elapse^
.k prog-rams prog-ramming profiler elapse timing time
.o @elapse@ if installed
.x
	Q1/04	SJ 4(1):97
	software and help update for ^elapse^

.e SJ-4-1 @net:sj 4-1 st0001_2!st0001_2@
.c sj
.a P. Royston
.t Flexible parametric alternatives to the Cox model: update
.k stat-istics propor-tional haz-ards model-s cox reg-ressions baseline odds
.k censor-ed censor-ing surviv-al fail-ure func-tions param-etric interv-als
.k cub-ic spline-s
.k bhcalc frac_s3b frac_spl mlsurvlf stpm stpm1 stpm_p
.o @bhcalc@, @stpm@ if installed
.x
	Q1/04	SJ 4(1):98--101
	presents ^stpm^ as updated for Stata 8.1

.e SJ-3-4 st0047
.c sj
.a J. W. Hardin and R. J. Carroll
.t Measurement error, GLMs, and notational conventions
.k stat-istics est-imates est-imations glm general-ized
.k linear model-s nota-tion meas-ures meas-urements
.k err-ors effect-s linear reg-ressions data-sets manage-ment
.x
	Q4/03	SJ 3(4):329--341				 (no commands)
	discusses additive measurement error in a generalized
	linear-model context, types of measurement error and
	their effects on fitted models, and notational
	conventions

.e SJ-3-4 st0048
.c sj
.a J. W. Hardin and R. J. Carroll
.t Variance est. for inst. var. approach to meas. error in GLMs
.k est-imates est-imations est-imators var-iables variance-s
.k meas-urements meas-ures err-ors sandw-ich instrum-ental
.k white-s robust glm general-ized linear reg-ressions model-s
.x
	Q4/03	SJ 3(4):342--350				 (no commands)
	variance estimation for the instrumental variables
	approach to measurment error in generalized linear
	models

.e SJ-3-4 @net:sj 3-4 st0049!st0049@
.c sj
.a J. W. Hardin, R. J. Carroll & H. Schmiediche
.t Instrumental variables, bootstrapping, and gen. linear models
.k stat-istics est-imates est-imations instrum-ental var-iables
.k meas-urements meas-ures err-ors variance matr-ices matr-ix
.k robust glm general-ized linear reg-ressions model-s
.k murphy-topel topel boot-strapped repli-cates qvf _qvferr qvfmex
.o @qvf@ if installed
.x
	Q4/03	SJ 3(4):351--360
	provides the ^qvf^ command for fitting generalized linear
	models including instrumental variables and measurement
	error; comparison to Stata's @glm@ command

.e SJ-3-4 @net:sj 3-4 st0050!st0050@
.c sj
.a J. W. Hardin, R. J. Carroll & H. Schmiediche
.t Reg.-calibration for fitting GLMs with additive meas. error
.k reg-ressions fit-ted fit-s meas-urements meas-ures calibra-tion
.k instrum-ental var-iables repli-cates matr-ices matr-ix
.k err-ors boot-strapped miss-ing cov-ariances covariate-s
.k stat-istics stand-ard general-ized linear mod-els glm rcal _crcdeq qvfmex
.o @rcal@ if installed
.x
	Q4/03	SJ 3(4):361--372
	discusses the method of regression calibration for
	fitting generalized linear models with additive
	measurement error

.e SJ-3-4 @net:sj 3-4 st0051!st0051@
.c sj
.a J. W. Hardin, R. J. Carroll and H. Schmiediche
.t Simultation extrapolation for fitting GLMs w/ add. meas. error
.k reg-ressions fit-ted fit-s meas-urements meas-ures calibra-tion
.k stat-istics instrum-ental var-iables simul-ations
.k mod-els general-ized linear glm extrap-olations extrap-olate
.k repli-cates stand-ard stat-istics err-ors
.k simex simexplot simexploti _crcdeq qvfmex
.k graph-s graph-ics graph-ing plot-s
.x
	(help @simex@, @simexplot@ if installed)
	Q4/03	SJ 3(4):373--385
	discusses the method of simulation extrapolation for
	fitting generalized linear models with additive
	measurement error

.e SJ-3-4 @net:sj 3-4 st0052!st0052@
.c sj
.a S. Rabe-Hesketh, A. Skrondal, and A. Pickles
.t Max. likelihood est. of GLMs with covariate measurement error
.k covariate-s meas-ures meas-urements err-ors mod-els
.k max-imum like-lihood factor-s nonpar-ametric non param-etric
.k adaptive quadra-ture empir-ical bayes-ian
.k est-imates est-imation stat-istics cme gllamm
.k anal-ysis simul-ations sensitiv-ity class latent
.k congeneric npmle
.o @cme@ if installed
.x
	Q4/03	SJ 3(4):386--411
	discusses ^gllamm^ and wrapper command ^cme^ to estimate
	generalized linear models with covariate measurement
	error

.e SJ-3-4 @net:sj 3-4 st0053!st0053@
.c sj
.a R. G. Gutierrez, J. M. Linhart, and J. S. Pitblado
.t From the help desk: Local polynomial reg. & Stata plugins
.k linear local-ly poly-nomials smooth-ing kern-els
.k reg-ressions locpoly plugin-s dll-s
.x
	(help @locpoly@ if installed)
	Q4/03	SJ 3(4):412--419
	provides command for performing local polynomial regression;
	discusses use of a Stata plugin

.e SJ-3-4 pr0011
.c sj
.a N. J. Cox
.t Speaking Stata: Problems with tables, Part II
.k tabl-es tab-ulate tab-ulations matr-ix matr-ices tabcount makematrix group-s
.k tabdisp list-s data-sets set-s manage-ment comb-ine
.k comb-ining sort composite cell-s var-iables mult-iple
.x
	Q4/03	SJ 3(4):420--439				 (no commands)
	reviews three user-written commands (^tabcount^, ^makematrix^,
	and ^groups^) as different approaches to tabulation problems

.e SJ-3-4 gn0009
.c sj
.a S. P. Jenkins
.t Review of Maximum Likelihood Estimation with Stata
.k ml-e prog-ramming prog-rams est-imation max-imum like-lihood command-s
.k est-imates review book-s book-store gould pitblado sribney stata
.x
	Q4/03	SJ 3(4):440--444				 (no commands)
	book review of ^Maximum Likelihood Estimation with Stata^
	by Gould, Pitblado, and Sribney (2003)

.e SJ-3-4 st0054
.c sj
.a R. Newson
.t Stata tip 1: The ^eform()^ option of ^regress^
.k stat-istics floor ceil-ing eform opt-ions reg-ressions tip
.x
	Q4/03	SJ 3(4):445					 (no commands)
	tips for using the ^eform()^ option of ^regress^

.e SJ-3-4 dm0002
.c sj
.a N. J. Cox
.t Stata tip 2: Building with floors and ceilings
.k data-sets set-s manage-ment floor ceil-ing tip
.x
	Q4/03	SJ 3(4):446--447				 (no commands)
	tips for using ^floor()^ and ^ceil()^

.e SJ-3-4 dm0003
.c sj
.a W. Gould
.t Stata tip 3: How to be assertive
.k assert-ions util-ity verify truth claim tip
.k cert-ify check-ing err-ors prog-ramming large prog-rams
.x
	Q4/03	SJ 3(4):448					 (no commands)
	tips for using ^assert^

.e SJ-3-4 @net:sj 3-4 sbe19_5!sbe19_5@
.c sj
.a T. J. Steichen
.t Software update for ^metabias^
.k stat-istics meta-bias anal-ysis bias publication begg mezumdar
.k egger test-s test-ing ktau2 ifexp
.o @metabias@ if installed
.x
	Q4/03	SJ 3(4):449
	bug fix for ^metabias^

.e SJ-3-4 @net:sj 3-4 gr41_2!gr41_2@
.c sj
.a N. J. Cox
.t Software update for ^distplot^
.k graph-s graph-ing graph-ics plot-s cdf ecdf cumul-ative distrib-utions
.k surviv-al reliab-ility surviv-or func-tions distplot
.k tscale trscale
.o @distplot@ if installed
.x
	Q4/03	SJ 3(4):449
	option ^tscale()^ renamed as ^trscale()^

.e SJ-3-4 @net:sj 3-4 sg67_2!sg67_2@
.c sj
.a N. J. Cox
.t Software update for ^nmissing^ and ^npresent^
.k data-sets set-s manage-ment nmissing npresent miss-ing value-s nonmiss-ing
.o @nmissing@, @npresent@ if installed
.x
	Q4/03	SJ 3(4):449
	updated to include support for ^by^, options for checking
	string values that contain spaces or periods, documentation
	of extended missing values .a to .z, and improved output

.e SJ-3-3 st0041
.c sj
.a S. M. Hailpern and P. F. Visintainer
.t Odds ratios & logistic reg.: examples of use & interpretation
.k stat-istics odds ratio-s logis-tic reg-ressions cornfield cc-i cs-i logit
.k relativ-e risk-s case-controls control-s study studies cohort
.k confound-ing effect-s epi-demiology epi-demiological
.x
	Q3/03	SJ 3(3):213--225				 (no commands)
	discusses logistic regression for adjustment of confounding
	in epidemiologic studies; relates logit model to Cornfield's
	2x2 table in both cohort and case-control studies

.e SJ-3-3 @net:sj 3-3 st0042!st0042@
.c sj
.a J. B. Carlin, N. Li, P. Greenwood, & C. Coffey
.t Tools for analyzing multiple imputed datasets
.k stat-istics data-sets set-s manage-ment miss-ing value-s
.k mult-iple imput-e imput-ing imput-ation rubin-s rule-s comb-inations
.k miappend mici _mici_bin mido _mi_estimate mifit milincom mimerge mireset
.k _mi_rubin misave miset mireset mitestparm _mi_unique _parmest
.k mici_warn1 mici_warn2 mifit_warn1 append comb-ine merge join
.k conf-idence interv-als est-imation est-imates model-s linear lincom
.k testparm test-s test-ing
.x
	(help @miappend@, @mici@, @mido@, @mifit@, @milincom@, @mimerge@,
	@mireset@, @misave@, @miset@, @mitestparm@ if installed)
	Q3/03	SJ 3(3):226--244
	commands for manipulating and analyzing multiple complete
	datasets in which missing values have been imputed

.e SJ-3-3 @net:sj 3-3 st0043!st0043@
.c sj
.a R. Newson
.t Confidence intervals & p-values for delivery to the end user
.k stat-istics conf-idence interv-als ci-i p-values value-s
.k tabl-es plot-s tex latex format-s format-ting tab-ulate tab-ulations html
.k descsave dsconcat eclplot factext factmerg factref ingap
.k format-ted display-ing output-ting output-ing
.k est-imation est-imates result-s reshape
.k lincomest lincomest_p tostring listtex parmby parmest sencode
.x
	(help @descsave@, @dsconcat@, @eclplot@, @factext@, @factmerg@, @factref@,
	@ingap@, @lincomest@, @parmby@, @parmest@, @sencode@ if installed)
	Q3/03	SJ 3(3):245--269
	outlines the whole process and provides programs for
	converting statistical output to plots or tables ready
	to be inserted in TeX, LaTeX, HTML, or a word processor

.e SJ-3-3 st0044
.c sj
.a N. Smeeton and N. J. Cox
.t Do-it-yourself shuffling & the number of runs under randomness
.k cat-egorical clus-tering cond-itional distrib-utions
.k data-sets set-s manage-ment stat-istics permute test-s test-ing
.k clus-ters clus-tered simulate simul-ations rand-om num-bers
.k for-values p-values value-s permu-tation run-s seq-uences
.x
	Q3/03	SJ 3(3):270--277				 (no commands)
	explains estimation of the probability of an event under
	randomness; illustrates a simple method of random shuffling;
	and shows derivation of conditional probability distribution
	of the number of runs