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StataCorp este producatorul Stata, software pentru analiza
statistica. Stata este disponibil pentru platforme Windows, Macintosh si
Unix. Stata este utilizat si potrivit uzului cercetatorilor din domeniul
medicinei, biostatisticienilor, epidemiologilor, economistilor, sociologilor,
specialistilor in stiinte politice, geografilor, psihologilor, specialistilor
in domeniul stiintelor sociale si multor altor profesionisti din varii
domenii. |
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Platforme: Training - Pentru informatii despre training in
Stata va rugam sa ne contactati pe e-mail. Posibilitati tehnice: 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; Linear models regression;
bootstrap, jackknife, and robust Huber/White/sandwich variance estimates;
instrumental variables; three-stage least squares; constraints; quantile
regression; GLS; more Multilevel mixed-effects models continuous,
binary, and count outcomes; two-, three-, and multi-way random-intercepts and
random-coefficients models; crossed random effects; ML and REML estimation; BLUPs
of effects and fitted values; hierarchical models; more Binary, count, and limited dependent
variables logistic, probit,
tobit; Poisson and negative-binomial; conditional, multinomial, nested, ordered,
rank-ordered, and stereotype logistic; multinomial probit; zero-inflated and
zero-truncated count models; selection models; marginal effects; more Panel data/cross-sectional time-series 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; AR(1) disturbances; more 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; 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;
more Multivariate methods factor analysis;
principal components; discriminant analysis; rotation; multidimensional
scaling; Procrustean analysis; correspondence analysis; biplots; dendrograms;
user-extensible analyses; more Cluster analysis hierarchical
clustering; kmeans and kmedian nonhierarchical clustering; dendrograms;
stopping rules; user-extensible analyses; more Resampling and simulation methods bootstrapping,
jackknife and Monte Carlo simulation; permutation tests; more Model testing and postestimation support Wald tests; LR
tests; linear and nonlinear combinations, tests, and predictions; marginal
effects; adjusted means; Hausman tests; more Graphics line charts,
scatterplots, bar charts, pie charts, hi–lo charts, Graph editor, regression
diagnostic graphs, survival plots, nonparametric smoothers, distribution Q–Q
plots; Survey methods sampling weights,
multistage designs; stratification, poststratification; deff; means,
proportions, ratios, totals; summary tables; bootstrap, jackknife, and
linearization-based variance estimation; regression, instrumental variables,
probit, Cox regression; more Survival analysis Kaplan–Meier and
Nelson–Aalen estimators, Cox regression (frailty); parametric models
(frailty); hazards; time-varying covariates; left and right censoring,
Weibull, exponential, and Gompertz analysis; sample size and power analysis;
more Tools for epidemiologists standardization of
rates, case–control, cohort, matched case–control, Mantel–Haenszel,
pharmacokinetics, ROC analysis, ICD-9-CM; Time series ARIMA, ARCH/GARCH,
VAR, VECM, high-frequency data, correlograms, periodograms, white-noise
tests, unit root tests, Holt–Winters smoothers, Haver Analytics data, rolling
and recursive estimation; Maximum likelihood user-specified functions;
NR, DFP, BFGS, BHHH; OIM, OPG, robust, bootstrap, and jackknife matrices;
Wald tests; survey data; numeric or analytic derivatives; more Transforms and normality tests Box–Cox
transforms, power transforms, Shapiro–Wilk and Shapiro–Francia tests; Other statistical methods sample size and
power, nonlinear regression, imputations, stepwise regression, statistical
and mathematical functions; Programming language adding new
commands, command scripting, if, while, command parsing, debugging, menu and
dialog-box programming, markup and control language; 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; 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 |
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