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Stata software statistik dan analisis diciptakan pada tahun 1985 oleh Stata Corporation. Sebagian besar penggunanya bekerja dalam penelitian, terutama dibidang ekonomi, sosiologi, ilmu politik, biomedis dan epidemiologi. Kemampuan kinerja Stata mencakup manajemen data, analisis statistik, grafik, simulasi, regresi, dan pemograman custom. Stata is a complete, integrated statistical software package that provides everything you need for data analysis, data management, and graphics. FAST, ACCURATE, AND EASY TO USE With both a point and click interface and a powerful, intuitive command syntax, Stata is fast, accurate, and easy to use. All analyses can be reproduced and documented for publication and review.
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Marginal means. Adjusted means. Forecast models. Least squares means. Marginal and partial effects. Linear and nonlinear combinations. Predictions and generalized predictions.
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Generalized method of moments (GMM). SIMPLE MAXIMUM LIKELIHOOD 01. Matrix estimators. No programming required. Specify likelihood using simple expressions. Standard, robust, bootstrap, and jackknife SEs.
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Dynamic factors. Business calendars. State space models. Multivariate GARCH. Filters and smoothers.
Markov switching models. Impulse response functions. Rolling and recursive estimation. Unobserved components model. SURVIVAL ANALYSIS 01. Competing risks. Cox regression (frailty).
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Regression adjustment. Doubly robust methods. Endogenous treatments. Propensity score matching.
ATEs on the treated (ATETs). Inverse probability weight (IPW). Average treatment effects (ATEs). Potential outcome means (POMs). Continuous, binary, count, fractional, and survival outcomes. STRUCTURAL EQUATION MODELING 01.
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Random slopes and intercepts. Groups and tests of invariance. Graphical path diagram builder.
Standardized and unstandardized estimates. Factors scores, empirical Bayes, and other predictions. Continuous, binary, count, ordinal, and survival outcomes. MULTIPLE IMPUTATION 01. Chained equations. Transform parameters.
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SURVEY METHODS 01. Summary tables. Predictive margins. Multistage designs.
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Item characteristic curves. Test information functions. Item information functions. Differential item functioning (DIF). Binary (1PL, 2PL, 3PL), ordinal, and categorical response models.
MULTI VARIETE METHODS 01. Factor analysis. Procrustean analysis.
Discriminant analysis. Principal components. User extensible analyses. Multidimensional scaling. Correspondence analysis. NON-PARAMETRIC METHODS 01.
Survival data. ROC analysis. Exact binomial CIs.
Kolmogorov Smirnov tests. Spearman and Kendall correlations. Wilcoxon mann whitney, wilcoxon signed ranks, and kruskal wallis tests. EPIDEMIOLOGY 01. ROC analysis.
Case control. Mantel Haenszel. Matched case control.
Standardization of rates. Hi-lo charts. Survival plots.
Contour plots. Distribution Q–Q plots. Nonparametric smoothers. Regression diagnostic graphs. GRAPHICAL USER INTERFACE 01. Graph Editor.
Do file Editor. Project Manager. Variables Manager.
Clipboard preview tool. Multiple preference sets. Menus and dialogs for all features. DOCUMENTATION 01. Quick starts. 12,000+ pages. Seamless navigation.
Methods and formulas. Thousands of worked examples. BASIC STATISTICS 01. Z and t tests. Factor variables. Cross tabulations.
Tests of proportions. Confidence intervals.
Equality of variance tests. OTHER STATISTICAL METHODS 01. Cronbach's alpha. Tests of normality. Stepwise regression. Kappa measure of interrater agreement. FUNCTIONS 01.
Date and time. Random number. INTERNET CAPABILITIES 01. Ability to install new commands. USER WRITEN COMMANDS 01.
User written commands for meta analysis, data management, survival, econometrics. PROGRAMMING FEATURES 01. Project Manager.
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Command scripting. Adding new commands. Object oriented programming. Menu and dialog box programming. MATRIX PROGRAMMING MATA 01.
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String matrices. LAPACK engine. Matrix inversions. Interactive sessions. Numerical derivatives.
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