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Stata 統計分析軟體

統計分析軟體
Statistics Software

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Stata 15 統計分析軟體



 

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
  • 廣泛的統計功能
  • 出版品質的圖形
  • 動態文檔創建
  • 可重複研究
  • 真實文檔
  • 可信任
  • 使用方便
  • 容易上手
  • 易於自動化
  • 易於共同使用
  • 高級編程
  • 自動多核支持
  • 社區貢獻的功能
  • 世界一流的技術支持
  • 跨平台兼容
  • 廣泛使用
  • 綜合資源
  • 充滿活力的社區
  • 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