STATA 15 - IC

Demoversion der Software Stata

Auf der Seite des Herstellers Stata Corp. können Sie sich für eine kostenlose 30-tägige Demoversion registrieren. Die Demoversion stellt Ihnen alle Funktionen von Stata zur Verfügung. Zur Registrierung besuchen Sie bitte die Herstellerseite: http://www.stata.com/customer-service/evaluate-stata/

	Windows	Mac	Linux
Andere Voraussetzungen			Stata für Unix benötigt eine Grafikkarte mit 16 oder 24 Bit Farbtiefe
Betriebssystem	Windows XP, Vista, 7, 8, 10, Windows Server 2003, 2008, 2012 (32-/64-Bit)	Mac OS X 10.7 oder höher (64-Bit)	Jeder 64 Bit (x86-64 oder kompatible) oder 32 Bit PC (x86 oder kompatible) unter Linux
Min. CPU
Min. RAM	512 MB
Festplattenspeicher	900 MB

Neue Features mit Version 14

Technische Neuerungen:

• Unicode-Support (betrifft z.B. Variablennamen, Daten, Wertelabel, Variablenlabel)
• Hypothetische Grenze für Anzahl der Beobachtungen liegt jetzt bei 281 Trillionen Beobachtungen (exakte Anzahl ist abhängig von RAM-Größe und Variablenanzahl)
• Unterstützung von ICD-10-Codes©

Neue Statistik:

• Bayessche Analysen, u.a.:
• 12 built-in Likelihood Modelle für kontinuierliche, binäre, ordinale und Zähldaten-Outcomes
• 22 built-in a-priori-Verteilungen, die kontinuierlich, univariat oder multivariat bzw. diskret sein können
• Metropolis-Hastings-, Gibbs -Algorithmus
• Item Response Theory, u.a.:
• für binäre, kategoriale, ordinale Items sowie Kombinationen davon
• Postestimation-Grafiken (ICC, CCC, IIF, TCC, TIF)

Neuerungen und Erweiterungen zu folgenden statistischen Verfahren

• Treatment Effects, u.a.:
• Survival treatment effects
• Endogenous treatment effects
• Check for balance between treatment and control groups
• Probability weights for many commands
• Multilevel Mixed Effects Model, u.a.:
• Neue multilevel Estimators: Parametrische Survival Modelle
• Linear mixed-effects-Modelle mit Small-Sample Denominator Degrees of Freedom
• Paneldaten, u.a.:
• Neue Random-Effects Survival Estimators
• Optionen vce(robust) und vce(cluster clustvar) jetzt für neue und vorhandene Estimators verfügbar
• Strukturgleichungsmodelle, jetzt können z.B. geschätzt werden:
• Multivariate survival models
• Survival models with unobserved components
• Survival models combined with other types of outcomes
• Fraction response models with unobserved components
• Fraction response models combined with other types of outcomes
• Zeitreihen, u.a. mit:
• Markov-switching Modellen
• Tests for structural Breaks
• Poweranalyse, z.B
• neue power-Befehle für Kontingenztafeln

und vieles andere mehr!

Neue Features mit Version 13

Behandlungseffekte

• Inverse probability weights (IPW)
• Regressionsanpassung
• Abschätzung von Kausalwirkungen via PSM
• Abgleich von Kovariaten
• Doppelt robuste Methoden

Mehrstufige / gemischte Modelle

• Negative Binomialverteilung
• Ordered Probit - Modelle
• Ordered Logistic - Modelle
• Multinomial Logistic - Modelle
• GLM
• Hierarchische Modelle

Lange Stringvariablen:

• 2 Milliarden Zeichen
• Textstrings
• Große binäre Objekte (BLOBs)
• Import / Export / ODBC / SQL
• Verhalten wie ganz normale Stata-Strings

Generalisiertes SEM

• Mehrstufige / hierarchische Modelle: verschachtelte und überschneidende Modelle
• Zufällige Steigungen und Schnittpunkte
• Schnell!!!

Effektstärken

• Mittelwerte
• ANOVA
• Lineare Regression
• Konfidenzintervalle
• Cohen's d, Hedges's g, Glass's ?, η², ω²

Leistung und Stichprobenumfang

• Mittelwerte, Proportionen, Varianzen, Korrelationen
• Fallkontroll- und Gruppenstudien
• Interaktives Bedienfeld
• Tabellarische Ergebnisse
• Automatische Grafiken

Prognose

• Zeitreihen und Felder
• Tausende von Gleichungen
• Identitäten
• Faktoren hinzufügen
• Statisch und dynamisch
• CIs via stochastischer Simulation
• Szenarien vergleichen

Paneldaten

• Geordnete Ergebnisse
• RE Ordered Probit - Modelle
• RE Ordered Logistic - Modelle
• Cluster-robuste SEs zum Abschwächen von Verteilungsannahmen und Ermöglichen von korrelierten Daten

Projektmanager

• Organisieren von Dateien (1-10.000)
• Mehrere Projekte
• Filter auf Dateinamen
• Öffnen / starten per Mausklick

Mehr Statistik

• Ordered Probit - Modell mit Selektion
• Poisson mit endogenen Kovariaten
• Robuste SEs für Quantilsregression
• ML-Schätzung ohne Programmierung
• Fractional - Polynom Präfix

Mehr Dokumentation

• Handbuch für Behandlungseffekte
• Handbuch für mehrstufige / gemischte Modelle
• Handbuch für Leistung und Stichprobenumfang
• 2.000 weitere Seiten
• Über 11.000 Seiten insgesamt

Stata Features

Data management

data transformations, match-merge, ODBC, XML, by-group processing, append files, sort, row–column transposition, labeling, saving results

Basic statistics

summaries, cross-tabulations, correlations, t tests, equality-of-variance tests, tests of proportions, confidence intervals, factor variables

Linear models

regression; bootstrap, jackknife, and robust Huber/White/sandwich variance estimates; instrumental variables; three-stage least squares; constraints; quantile regression; GLS

Multilevel mixed-effects models

generalized linear models;continuous, binary, and count outcomes; two-, three-, and higher-level models; random-intercepts; random-slopes; crossed random effects; BLUPs of effects and fitted values; hierarchical models; residual error structures; support for survey data in linear models

Binary, count, and discrete outcomes

logistic, probit, tobit; Poisson and negative binomial; conditional, multinomial, nested, ordered, rank-ordered, and stereotype logistic; multinomial probit; zero-inflated and left-truncated count models; selection models; marginal effects

Longitudinal data/panel data

random and fixed effects with robust standard errors; linear mixed models, random-effects probit, GEE, random- and fixed-effects Poisson, dynamic panel-data models, and instrumental-variables regression; panel unit-root tests; AR(1) disturbances

Generalized linear models (GLMs)

ten link functions, user-defined links, seven distributions, ML and IRLS estimation, nine variance estimators, seven residuals

Nonparametric methods

Wilcoxon-Mann-Whitney, Wilcoxon signed ranks and Kruskal-Wallis tests; Spearman and Kendall correlations; Kolmogorov-Smirnov tests; exact binomial CIs; survival data; ROC analysis; smoothing; bootstrapping

Exact statistics

exact logistic and Poisson regression, exact case-control statistics, binomial tests, Fisher's exact test for r × c tables

ANOVA/MANOVA

balanced and unbalanced designs; factorial, nested, and mixed designs; repeated measures; marginal means; contrasts

Multivariate methods

factor analysis, principal components, discriminant analysis, rotation, multidimensional scaling, Procrustean analysis, correspondence analysis, biplots, dendrograms, user-extensible analyses

Cluster analysis

hierarchical clustering; kmeans and kmedian nonhierarchical clustering; dendrograms; stopping rules; user-extensible analyses

Resampling and simulation methods

bootstrapping, jackknife and Monte Carlo simulation; permutation tests

Tests, predictions, and effects

Wald tests; LR tests; linear and nonlinear combinations, predictions and generalized predictions, marginal means, least-squares means, adjusted means; marginal and partial effects; forecast models; Hausman tests

Graphics

line charts, scatterplots, bar charts, pie charts, hi-lo charts, regression diagnostic graphs, survival plots, nonparametric smoothers, distribution Q-Q plots

Survey methods

multistage designs; bootstrap, BRR, jackknife, linearized, and SDR variance estimation; poststratification; DEFF; predictive margins; means, proportions, ratios, totals; summary tables; regression, instrumental variables, probit, Cox regression

Survival analysis

Kaplan-Meier and Nelson-Aalen estimators,; Cox regression (frailty); parametric models (frailty); competing risks; hazards; time-varying covariates; left- and right-censoring, Weibull, exponential, and Gompertz analysis

Epidemiology

standardization of rates, case–control, cohort, matched case-control, Mantel-Haenszel, pharmacokinetics, ROC analysis, ICD-9-CM

Time series

ARIMA; ARFIMA; ARCH/GARCH; VAR; VECM; multivariate GARCH; unobserved components model; dynamic factors; state-space models; business calendars; correlograms; periodograms; forecasts; impulse-response functions; unit-root tests; filters and smoothers; rolling and recursive estimation

Multiple imputation

nine univariate imputation methods; multivariate normal imputation; chained equations; explore pattern of missingness; manage imputed datasets; fit model and pool results; transform parameters; joint tests of parameter estimates; predictions

Simple maximum likelihood

specify likelihood using simple expressions; no programming required; survey data; standard, robust, bootstrap, and jackknife SEs; matrix estimators

Programmable maximum likelihood

user-specified functions; NR, DFP, BFGS, BHHH; OIM, OPG, robust, bootstrap, and jackknife SEs; Wald tests; survey data; numeric or analytic derivatives

Other statistical methods

kappa measure of interrater agreement; Cronbach's alpha; stepwise regression; tests of normality

Programming features

adding new commands; command scripting; object-oriented programming; menu and dialog-box programming; Project Manager; plugins

Matrix programming-Mata

interactive sessions, large-scale development projects, optimization, matrix inversions, decompositions, eigenvalues and eigenvectors, LAPACK engine, real and complex numbers, string matrices, interface to Stata datasets and matrices, numerical derivatives, object-oriented programming

Internet capabilities

ability to install new commands, web updating, web file sharing, latest Stata news

Accessibility

Section 508 compliance, accessibility for persons with disabilities

Sample session

A sample session of Stata for Mac, Unix, or Windows.

User-written commands

User-written commands for meta-analysis, data management, survival, econometrics

Graphical user interface

menus and dialogs for all features; Data Editor; Variables Manager; Graph Editor; Project Manager; Do-file Editor; Clipboard Preview Tool; multiple preference sets

Graphics

line charts; scatterplots; bar charts; pie charts; hi-lo charts; contour plots; GUI Editor; regression diagnostic graphs; survival plots; nonparametric smoothers; distribution Q-Q plots

Documentation

20 manuals20 manuals; 11,000+ pages; seamless navigation; thousands of worked examples; methods and formulas; references; 11,000+ pages; seamless navigation; thousands of worked examples; methods and formulas; references

Power and sample size

power; sample size; effect size; minimum detectable effect; means; proportions; variances; correlations; case-control studies; cohort studies; survival analysis; balanced or unbalanced designs; results in tables or graphs

Treatment effects

inverse probability weight (IPW); doubly robust methods; propensity score matching; regression adjustment; covariate matching; multilevel treatments; average treatment effects (ATEs); average treatment effects on the treated (ATETs); potential-outcome means (POMs)

SEM (Structural equation modeling)

graphical path diagram builder; standardized and unstandardized estimates; modification indices; direct and indirect effects; continuous, binary, count, and ordinal outcomes (GLM); multilevel models; random slopes and intercepts; factors scores, empirical Bayes, and other predictions; groups and tests of invariance; goodness of fit; handles MAR data by FIML; correlated data

Functions

statistical; random-number; mathematical; string; date and time

Embedded statistical computations

Numerics by Stata

Contrasts, pairwise comparisons, and margins

compare means, intercepts, or slopes; compare to reference category, adjacent category, grand mean, etc.; orthogonal polynomials; multiple comparison adjustments; graph estimated means and contrasts; interaction plots

GMM an nonlinear regression

generalized method of moments (GMM); nonlinear regression