stata12.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

.c stb
.t Analysis of case-control and prevalence studies
.a D. Clayton and M. Hills
.k conf-idence interv-als epitab preva-lence odds ratio-s relativ-e
.k stand-ardized test-s epi-demiological epi-demiology tabl-es conting-ency
.k model-s hyp-othesis hyp-otheses case-control control-s match-ed 1:1 1:k data
.k cumul-ative incid-ence expos-ed pop-ulations expos-ures stat-istics
.k mantel-haenszel haenszel chi-squared sq-uared chi-2 2 test-ing
.k strat-ified strat-um strata strat-ification binom-ial tabodds mhodds
.o @tabodds@, @mhodds@ if installed
.z
.x
	9/95	pp.26--31; STB Reprints Vol 5, pp.227--233
	commands for analyzing case-control and prevalence studies using
	the simple tabulation and stratification methods described in
	Clayton and Hills, 1993, Statistical Models in Epidemiology;
	@tabodds@ and @mhodds@ were incorporated into Stata 6

.e STB-27 @net:stb 27 ssa7!ssa7@
.c stb
.t Analysis of follow-up studies
.a D. Clayton and M. Hills
.k stat-istics conf-idence interv-als smr epitab ratio-s risk-s rate-s
.k relativ-e mortality stand-ardized morbid-ity test-s epi-demiological
.k epi-demiology tabl-es conting-ency model-s hyp-othesis hyp-otheses
.k stand-ardization cumul-ative incid-ence person time expos-ed pop-ulations
.k expos-ures mantel-haenszel haenszel chi-squared sq-uared chi-2 2
.k strat-ified strat-um strata strat-ification
.k follow-up up data lexis tabrate mhrate test-ing
.o @lexis@, @tabrate@, @mhrate@ if installed
.z
.x
	9/95	pp.19--26; STB Reprints Vol 5, pp.219--227
	commands for analyzing follow-up studies using the simple
	tabulation and stratification methods described in Clayton
	and Hills, 1993, Statistical Models in Epidemiology; ^tabrate^
	and ^mhrate^ are incorporated into Stata's @strate@, @stir@, @stmc@,
	and @stmh@ commands

.e STB-26 crc40
.c stb
.t Correcting for ties and zeros in sign and rank tests
.k equal-ity distrib-utions med-ians pop-ulations hyp-othesis hyp-otheses
.k match-ed pair-s u-statistic test-s test-ing signrank signtest mean-s
.k nonpar-ametric rank-sums sum-s order non param-etric
.k wilcox-on sign-edranks sign-ed mann-whitney whitney two samp-les stat-istics
.z
.x
	7/95	pp.2--4; STB Reprints Vol 5, pp.5--8
	incorporated into Stata 5.0

.e STB-26 crc39
.c stb
.t How to make older ado-files work correctly
.k ado-files file-s version-s compat-ibility across release-s
.z
.x
	7/95	p.2; STB Reprints Vol 5, p.5			 (no commands)

.e STB-26 @net:stb 26 dm34!dm34@
.c stb
.t Constructing axis labels for dates
.a S. Becketti
.o @yrxlab@ if installed
.k graph-s display-ed axis axes label-s format-s num-bers graph-ics
.k date-s month-s year-s data-sets set-s manage-ment yrxlab
.z
.x
	7/95	pp.8--11; STB Reprints Vol 5, pp.32--36

.e STB-26 @net:stb 26 dm33!dm33@
.c stb
.t Elapsed days using 30-day months
.a K. Heinecke
.o @days360@ if installed
.k data-sets set-s manage-ment elap-sed date-s month-s day-s360
.x
	7/95	p.8; STB Reprints Vol 5, pp.31--32
	calculate the number of days between two given dates based
	on twelve 30-day months

.e STB-26 @net:stb 26 dm32!dm32@
.c stb
.t Matching names in Stata
.a P. Sasieni
.o @nmatch@ if installed
.k name-s dup-licates match-ing data-sets set-s person surname-s people
.k last-names first-names manage-ment minlen nmatch replstr
.x
	7/95	pp.5--8; STB Reprints Vol 5, pp.28--31
	identify person names that are near matches

.e STB-26 @net:stb 26 dm31!dm31@
.c stb
.t Counting missing values: an extension to egen
.a R. Goldstein
.o @rmiss2@ if installed
.k egen data-sets set-s miss-ing value-s rmiss-2 manage-ment grmiss2
.z
.x
	7/95	pp.4--5; STB Reprints Vol 5, pp.27--28
 	@egen@'s ^rmiss()^ function now handles string variables;
	incorporated into Stata 6

.e STB-26 @net:stb 26 ip8!ip8@
.c stb
.t An enhanced for command
.a P. Royston
.o @for2@ if installed
.k util-ity repeat command-s var-iables edit correct modify for-2
.z
.x
	7/95	p.12; STB Reprints Vol 5, p.65
	incorporated into improved @for@ command in Stata 5.0

.e STB-26 @net:stb 26 sg42!sg42@
.c stb
.t Plotting predicted values from linear & logistic regr. models
.a J. Garrett
.o @regpred@, @logpred@ if installed
.k plot-s plot-ting graph-s graph-ing pred-ictions pred-icted value-s graph-ics
.k linear model-s reg-ressions logis-tic logit conf-idence interv-als
.k stat-istics regpred logpred
.x
	7/95	pp.18--23; STB Reprints Vol 5, pp.111--116
	calculate and plot predicted values and 95 percent confidence
	intervals of the predictions for one predictor holding constant
	the other predictors

.e STB-26 @net:stb 26 sg41!sg41@
.c stb
.t Random-effects probit
.a W. M. Sribney
.o @rfprobit@ if installed
.k bina-ry outcome-s model-s dicho-tomous risk-s est-imation ml-e max-imum
.k like-lihood reg-ressions probit rfprobit rfpr_ll1
.k qualita-tive stat-istics pred-ictions rfprobit est-imates
.k cross section-al time series panel-s data longi-tudinal stat-istics
.k fix-ed and rand-om effect-s mixed est-imators
.z
.x
	7/95	pp.15--18; STB Reprints Vol 5, pp.107--111
	estimate a random-effects model for cross-sectional time-series
	probit; random-effects probit available in Stata 6

.e STB-26 @net:stb 26 sg40!sg40@
.c stb
.t Testing for the mean of a skewed variable
.a R. Goldstein
.o @johnson@ if installed
.k johnson skew-ness sym-metry asym-metry norm-ality test-s test-ing t-tests
.k chen skew-ed hyp-otheses hyp-othesis distrib-utions stat-istics mean-s
.k nonnorm-ality
.x
	7/95	pp.13--15; STB Reprints Vol 5, pp.104--107
	implements Johnson's corrected t test for skewed data and
	Chen's modification of Johnson's test

.e STB-26 @net:stb 26 sg37.1!sg37.1@
.c stb
.t Orthogonal polynomials: correction
.a W. M. Sribney
.o @orthpoly@ if installed
.k linear reg-ressions mult-iple eq-uations collinear-ity orthpoly
.k orthog-onal stat-istics poly-nomials multicol-linearity
.z
.x
	7/95	p.12; STB Reprints Vol 5, p.98
	incorporated into Stata 5.0; see help @orthpoly@

.e STB-26 @net:stb 26 sg35.1!sg35.1@
.c stb
.t Robust tests for the equality of variances: correction
.a M. A. Cleves
.k homog-eneity bartlett-s equal-ity stat-istics within between cell-s
.k robust levene-s brown forsythe variance-s skew-ness sym-metry asym-metry
.k norm-ality robvar test-s test-ing hyp-othesis hyp-otheses
.k stand-ard dev-iations std
.o @robvar@ if installed
.z
.x
	7/95	p.12; STB Reprints Vol 5, p.93
	incorporated into Stata 7.0

.e STB-26 @net:stb 26 snp8.1!snp8.1@
.c stb
.t Robust scatterplot smoothing: correction
.a S. Becketti
.k graph-s lowess smooth-ing loess local-ly weight-ed scat-terplots plot-s ksm
.k reg-ressions noise two-way way graph-ics stat-istics display robust bina-ry
.k adjksm lorobwei roblowes robksm _adjksm _robksm
.o @adjksm@, @lorobwei@, @roblowes@ if installed
.z
.x
	7/95	p.31; STB Reprints Vol 5, pp.194--195
	two ado-files were inadvertently omitted from the snp8 directory
	on the STB-25 disks in production; these are now supplied

.e STB-26 @net:stb 26 snp6.1!snp6.1@
.c stb
.t ASH, WARPing & kernel density estimation for univariate data
.a Salgado-Ugarte, Shimizu, Taniuchi
.k kern-el dens-ity est-imators est-imation stat-istics est-imates
.k smooth-ers smooth-ing hist-ograms nonpar-ametric non param-etric
.k warp-ings ash univar-iate distrib-utions kerncos kernepa kerngaus
.k kernquar kernsim kerntria kerntriw warpoly warpstep
.o @kernel@, @warping@ if installed
.z
.x
	7/95	pp.23--31; STB Reprints Vol 5, pp.161--172
	introduces the ASH and WARPing procedures for density estimation
	and presents some ado-files and Turbo Pascal programs for their
	calculation

.e STB-25 @net:stb 25 dm30!dm30@
.c stb
.t Comparing observations within a data file
.a R. Goldstein
.o @compobs@ if installed
.k compar-e two compar-isons data-sets set-s manage-ment compobs obs-ervations
.k dup-licates
.z
.x
	5/95	pp.7--8; STB Reprints Vol 5, pp.25--27
	compare two observations within a dataset to help find
	duplicate and nearly duplicated observations

.e STB-25 @net:stb 25 dm29!dm29@
.c stb
.t Create TeX tables from data
.a J. W. Hardin
.o @textab@ if installed
.k format-s tabl-es tex latex textab data-sets set-s manage-ment
.x
	5/95	pp.3--7; STB Reprints Vol 5, pp.20--25
	generate TeX code to format tables of data

.e STB-25 @net:stb 25 dm28!dm28@
.c stb
.t Calculate nice numbers for labeling or drawing grid lines
.a J. W. Hardin
.o @nicenum@ if installed
.k graph-s display-ed axis axes label-s format-s num-bers graph-ics grid line-s
.k nicenum round nice manage-ment data-sets set-s
.z
.x
	5/95	pp.2--3; STB Reprints Vol 5, pp.19--20

.e STB-25 @net:stb 25 sg39!sg39@
.c stb
.t Independent percentages in tables
.a B. Miller
.o @iptab@ if installed
.k tab-ulations tab-ulate stat-istics cat-egorical var-iables
.k indica-tor iptab conting-ency tabl-es freq-uencies freq-uency
.x
	5/95	pp.20--23; STB Reprints Vol 5, pp.100--104
	alternative to @tabulate@; directly computes percentage of
	cases meeting specified requirements forming a kind of 3-way
	table

.e STB-25 @net:stb 25 sg38!sg38@
.c stb
.t Generating quantiles
.a W. M. Sribney
.o @mkquant@ if installed
.k quantile-s stat-istics mkquant percent-iles centile-s
.z
.x
	5/95	pp.19--20; STB Reprints Vol 5, pp.98--99
	predates @pctile@ introduced in Stata 5.0

.e STB-25 @net:stb 25 sg37!sg37@
.c stb
.t Orthogonal polynomials
.a W. M. Sribney
.o @orthpoly@ if installed
.k linear reg-ressions mult-iple eq-uations collinear-ity orthpoly
.k orthog-onal stat-istics poly-nomials multicol-linearity
.z
.x
	5/95	pp.17--18; STB Reprints Vol 5, pp.96--98
	incorporated into Stata 5.0; see help @orthpoly@

.e STB-25 @net:stb 25 sg36!sg36@
.c stb
.t Tabulating the counts of multiple categorical variables
.a P. Sasieni
.o @tabw@ if installed
.k tab-ulations tab-ulate stat-istics tabw cat-egorical var-iables
.k count-s mult-iple total-s conting-ency tabl-es freq-uencies freq-uency
.x
	5/95	pp.15--17; STB Reprints Vol 5, pp.93--96
	tabulates the number of times a variable takes on values
	0, 1, ... 9, the number of times it is missing, and the number
	of times it is equal to some other value

.e STB-25 @net:stb 25 sg35!sg35@
.c stb
.t Robust tests for the equality of variances
.a M. A. Cleves
.k homog-eneity bartlett-s equal-ity stat-istics within between cell-s
.k robust levene brown forsythe variance-s skew-ness sym-metry asym-metry
.k norm-ality robvar test-s test-ing hyp-othesis hyp-otheses
.k stand-ard dev-iations std
.o @robvar@ if installed
.z
.x
	5/95	pp.13--15; STB Reprints Vol 5, pp.91--93
	incorporated into Stata 7.0

.e STB-25 @net:stb 25 sg32.1!sg32.1@
.c stb
.t Variance inflation & decomposition: correction
.a J. W. Hardin
.o @vif@, @colldiag@ if installed
.k linear reg-ressions mult-iple eq-uations collinear-ity multicol-linearity
.k least sq-uared sq-uares dev-iations min-imums ordinary ols weight-ed
.k weight-s stat-istics model-s var-iables cov-ariances
.k variance-s std stand-ard err-ors est-imates est-imation vif colldiag
.x
	5/95	p.13; STB Reprints Vol 5, p.90
	@vif@ incorporated into Stata 5.0; @colldiag@ calculates the
	variance-decomposition proportions based on singular-value
	decomposition of the independent variables

.e STB-25 @net:stb 25 sg26.3!sg26.3@
.c stb
.t Fractional polynomial utilities
.a P. Royston
.k frac-tional poly-nomials model-s reg-ressions fp-show stat-istics
.k fpplot fpderiv fpgen fpgraph fpx _jprfpdt _jprfpdx _jprfpfp _jprfpgn
.k _jprfpin _jprfplx _jprfpmm _jprfppp _jrfpre _jrfprp _jprfpse _jprfptp
.k _jprfpxo
.z
.o @fp@, @fpshow@, @fpplot@, @fpderiv@ if installed
.x
	5/95	pp.9--13; STB Reprints Vol 5, pp.82--87
	fractional polynomial regression was added to Stata 5.0;
	see help @fracpoly@

.e STB-25 @net:stb 25 snp8!snp8@
.c stb
.t Robust scatterplot smoothing: enhancements to Stata's ksm
.a Salgado-Ugarte, Shimizu
.k graph-s lowess smooth-ing loess local-ly weight-ed scat-terplots plot-s ksm
.k reg-ressions noise two-way way graph-ics stat-istics display robust bina-ry
.k adjksm lorobwei roblowes _adjksm
.o @adjksm@, @lorobwei@, @roblowes@ if installed
.z
.x
	5/95	pp.23--26; STB Reprints Vol 5, pp.190--194
	@adjksm@ holds bandwidth of the smoother constant across x-values;
	@lorobwei@ calculates robust weights recommended by Cleveland and
	@roblowes@ uses these weights to compute the lowess smooth

.e STB-25 @net:stb 25 sts10!sts10@
.c stb
.t Prais-Winsten regression
.a J. W. Hardin
.k est-imation time series est-imates prais winsten durb-in watson
.k linear reg-ressions serial-ly corr-elations cochran-e orcut-t
.k autocor-relations model-s stat-istics
.o @prais@ if installed
.z
.x
	5/95	pp.26--29; STB Reprints Vol 5, pp.234--237
	@prais@ was incorporated into Stata 5.0

.e STB-24 @net:stb 24 dm27!dm27@
.c stb
.t An improved collapse, with weights
.a W. Gould
.o @coll2@ if installed
.k aggregate stat-istics mean-s med-ians stand-ard dev-iations std sum-s
.k nonmiss-ing obs-ervations max-imums max-ima min-imums min-ima percent-iles
.k interquart-ile range set-s data-sets ave-rages centile-s creat-e make
.k count-s quantile-s non miss-ing freq-uencies freq-uency iqr quartile-s
.k func-tions contain-ing variance-s proc summ-ary collapse weight-s coll2
.k manage-ment total-s
.z
.x
	3/95	pp.5--8; STB Reprints Vol 4, pp.40--43
	improvements incorporated into improved @collapse@ command
	in Stata 5.0

.e STB-24 @net:stb 24 dm26!dm26@
.c stb
.t Labeling graphs with date formats
.a A. Riley
.o @datelab@ if installed
.k date-s func-tions graph-s graph-ing label-ing format-s datelab graph-ics
.k data-sets set-s manage-ment
.z
.x
	3/95	pp.4--5; STB Reprints Vol 4, pp.37--40