為什麼選擇 Stata ？
Stata是一個完整的集成軟件包，可提供您的所有數據科學需求 - 數據處理，可視化，統計和可重現的報告。- • 掌握您的數據 • 易於共同使用
- • 廣泛的統計功能 • 高級編程
- • 出版品質的圖形 • 自動多核支持
- • 動態文檔創建 • 社區貢獻的功能
- • 可重複研究 • 世界一流的技術支持
- • 真實文檔 • 跨平台兼容
- • 可信任 • 廣泛使用
- • 使用方便 • 綜合資源
- • 容易上手 • 充滿活力的社區
- • 易於自動化 • 經濟實惠
STATA
Stata is a complete, integrated statistical software package that provides everything you need for data analysis, data management, and graphics.
Bayesian analysis
- • Thousands of built-in models
- • Add your own models
- • Adaptive Metropolis–Hastings
- • Gibbs sampling
- • Convergence diagnostics
- • Posterior summaries
- • Hypothesis testing
- • Model comparison
IRT (item response theory)
- • Binary response models—1PL, 2PL, 3PL
- • Ordinal response models—graded response, partial credit, rating scale
- • Nominal response model
- • Hybrid models
- • Item characteristic curves
- • Test characteristic curves
- • Item information function
Unicode
- • Data
- • Variable and value labels
- • Variable names!
Integration with Excel
- • Cell formatting
- • Font formatting
- • Insert Stata graphs
- • Create cell formulas
Treatment effects
- • Survival outcomes
- • Endogenous treatments
- • Balance diagnostics and tests
- • Sampling weights
Multilevel survival models
- • Random effects
- • Crossed effects
- • Two, three, higher level
- • Right censoring
- • Exponential, Weibull, ....
- • Survey data
Multilevel models
- • Survey data
- • Multilevel sampling weights
- • Survival models
- • Denominator degrees of freedom
- • Marginal predictions, means, effects
SEM (structural equation modeling)
- • Satorra–Bentler adjustments
- • Survival models
- • Survey data
- • Multilevel weights
- • Marginal predictions, means, effects
Power and sample size
- • Contingency tables
- • Cochran–Mantel–Haenszel test
- • Test for trend
- • Matched case–control studies
- • Survival analysis
Markov-switching models
- • Autoregressive model
- • Dynamic regression model
- • State-dependent parameters
- • Transition probabilities
- • State membership probabilities
Survey statistics
- • Multilevel models
- • Survival models
- • SEM (structural equation modeling)
- • Multistage/multilevel weights
Panel-data survival models
- • Random effects (intercepts)
- • Random coefficients
- • Right-censoring
- • Exponential, Weibull, ...
- • Survival graphs
Fractional outcome regression
- • Fractions, proportions, ...
- • Beta regression
- • Probit and logit
- • Heteroskedasticity
- • Odds ratios
Marginal means and marginal effects
- • Multiple outcomes
- • Multiple equations
- • Integrate over random effects
- • Integrate over latent variables
More documentation
- • Two all new manuals
- • 12,000+ total pages
- • Quick starts
- • Thousands of worked examples
- • Overview of statistical methods
More statistics
- • Hurdle models
- • Censored Poisson models
- • Beta regression
- • Structural break tests
- • z tests comparing means
- • More distribution functions
- • Mersenne Twister
