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Stata's expertise lies in the analysis of time based data. Stata provides not only the basic time series models like ARIMA but even the multivariate equivalents (VAR/VEC-Models) as well. Further you are able to model volatility using GARCH-models in Stata. Kaplan-Meier-curves are the way to analyse survival times, while mixed models help to analyse panel data. A mighty scripting language completes the package.
Stata produces all kinds of classical statistics. You can use it for descriptive statistics, hypothesis testing and visualization of data. Typically Stata is used in research and development. The large amount of different statistical methods helps scientists in all fields of applications (Social science, econometrics, epidimiology, medical research).
No matter if you are a student or a senior researcher, there is always the right version of Stata available: Stata/IC, Stata/SE and Stata/MP
Arguments for Stata:
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Stata/MP
Stata statistical software is a complete, integrated statistical software package that provides everything you need for data analysis, data management, and graphics. Stata is not sold in modules, which means you get everything you need in one package.
Easy to learn yet fully programmable for the most demanding data management and statistical requirements.
With Stata's menus and dialogs, you can easily point and click or drag and drop your way to all of Stata's statistical, graphical, and data management features. You can completely reshape your data, create group-level variables for panel or longitudinal data, graph a receiver operating characteristics (ROC) curve or impulse-response function (IRF), perform a case-control analysis, estimate a random-effects count-data model or a Cox proportional hazards model, or compute marginal effects from a nonlinear estimator. You can even access the dialog boxes for each command directly from the online help system. T his is a great way to explore all of the capabilities of Stata.
Stata Software is available in 3 different flavours
Whether you’re a student or a seasoned research professional, we have a package designed to suit your needs:
Stata/MP is the fastest and largest version of Stata. Virtually any current computer can take advantage of the advanced multiprocessing of Stata/MP. This includes the Intel i3, i5, i7, i9, Xeon, and Celeron, and AMD multi-core chips. On dual-core chips, Stata/MP runs 40% faster overall and 72% faster where it matters, on the time-consuming estimation commands. With more than two cores or processors, Stata/MP is even faster. Download eviews 9 full crack gratis mac. Find out more about Stata/MP.
Stata/MP, Stata/SE, and Stata/IC all run on any machine, but Stata/MP runs faster. You can purchase a Stata/MP license for up to the number of cores on your machine (maximum is 64). For example, if your machine has eight cores, you can purchase a Stata/MP license for eight cores, four cores, or two cores.
Stata/MP can also analyze more data than any other flavor of Stata. Stata/MP can analyze 10 to 20 billion observations given the current largest computers, and is ready to analyze up to 1 trillion observations once computer hardware catches up.
Stata/SE and Stata/IC differ only in the dataset size that each can analyze. Stata/SE and Stata/MP can fit models with more independent variables than Stata/IC (up to 10,998). Stata/SE can analyze up to 2 billion observations.
Stata/IC allows datasets with as many as 2,048 variables and 2 billion observations. Stata/IC can have at most 798 independent variables in a model.
Numerics by Stata can support any of the data sizes listed above in an embedded environment.
All the above flavors have the same complete set of features and include PDF documentation.
* The maximum number of observations is limited only by the amount of available RAM on your system.
Stata scripting language
Stata's scripting language is easy to learn and helps you to get the most out of your data. It allows not only to use and modify the existing routines to generate standard reports, but can easily be extended with newly created statistical functions.
Efficient Datamanagent with Stata
Datamanagement with Stata is easy and efficient. Joining datasets, creating new variables or producing summary tables is done in no time.
Professional Graphics with Stata
Stata provides professional graphics that can directly be used for documents and publications. This includes not only pre-defined standard graphs but although highly customizeable graphics.
Further Information:Trialversion of Stata
The producer provides a free 30-day trialversion on their website. The trialversion contains all the features of Stata. You can register for this license simply by visiting the following link: http://www.stata.com/customer-service/evaluate-stata/
And, even more
The whole feature list you will find under the following link:
Stata FeaturesData 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 Anaconda python 3 download mac.
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
![]() DocumentationStata Mac Download
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
Can't Download Stata On Mac DownloadEmbedded statistical computations
Numerics by Stata
Stata Mac OsContrasts, 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
Cant Download Stata On Mac ShortcutGMM an nonlinear regression
generalized method of moments (GMM); nonlinear regression
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