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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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Stata also has advanced tools for managing specialized data such as survival/duration data, time series data, panel/longitudinal data, categorical data, multiple imputation data, and survey data. STATA FEATURES LINEAR MODELS 01. Quantile regression. Censored outcomes. Instrumental variables. Endogenous regressors.
Three stage least squares. Bootstrap, jackknife, and robust and cluster robust variance.
LONGITUDINAL DATA - PANEL DATA 01. Panel unit root tests.
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Convergence diagnostics. Linear and nonlinear models. Thousands of built-in models. Univariate and multivariate models. Adaptive metropolis hastings sampling. Continuous, binary, ordinal, and count outcomes.
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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.
Manage imputed datasets. Fit model and pool results. Explore pattern of missingness. Multivariate normal imputation. Joint tests of parameter estimates. Nine univariate imputation methods.
SURVEY METHODS 01. Summary tables. Predictive margins. Multistage designs.
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Means, proportions, ratios, totals. Regression, instrumental variables, probit, Cox regression. Bootstrap, BRR, jackknife, linearized, and SDR variance estimation. CLUSTER ANALYSIS 01. Stopping rules. Hierarchical clustering. User extensible analyses.
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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.
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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.
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Case control. Mantel Haenszel. Matched case control.
Standardization of rates. Hi-lo charts. Survival plots.
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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.
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Date and time. Random number. INTERNET CAPABILITIES 01. Ability to install new commands. USER WRITEN COMMANDS 01.
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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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