資料介紹

Stata是一套完整的，集成的統計分析軟件包，可以滿足您用於數據分析，數據管理和圖形的所有需要。

Stata 12增加了許多新的特征，比如結構方程模型(SEM)，ARFIMA,Contrasts,ROC分析,自動內存管理等。更多內容歡迎訪問Stata 12新特征。

快速，准確和容易使用

帶有點選式操作界面，直觀的命令語法，和在線幫助，使Stata非常容易使用，快速而准確。所有的分析都能夠重復和文檔化，以用於發表和回顧。

廣泛的統計分析能力組合

Stata把成百個統計工具放到您的指邊，從高級的技術，比如帶有frailty,動態面板數據(DPD)回歸的幸存模型，廣義評估方程式(GEE),多層混合模型，帶樣本選擇的模型，ARCH，和帶有復雜幸存樣本的評估；對於標准模型，比如線性和廣義線性模型(GLM)，帶有計數和二元結果的回歸，ANOVA/MANOVA,聚集分析，比率標准化，案例控制分析，基本表格和匯總統計。

完整的數據管理工具

Stata的數據管理命令讓您可以完整對所有類型的數據進行控制;;您能夠組合和重新規劃數據集，管理變量，和跨組或重復搜集統計信息。您能夠處理字節型，整數型，長整型，浮點型，雙字節型和字符型變量。Stata同樣也擁有管理特殊數據，比如幸存/連續數據，時間序列數據，面板/longitudinal數據，分類數據和調查數據。

出版級質量的圖形

Stata能很容易的生成出版級質量，清晰風格的圖形，包括回歸擬合圖形，分布圖形，時間序列圖形和幸存圖。通過完整的圖形編輯器，您可以點擊修改圖形上的任意部分或添加標題，注釋，線條，箭頭和文本。

您可以選擇已有的圖形樣式，或創建您自己的樣式。

響應和擴展

Stata是可編程的，每天開發人員和使用者都在增加新的功能來響應當今研究者日益增長的需要。通過Stata的Internet功能，新的特征和官方更新只需點擊一下就能夠通過Internet來下載和安裝。許多新的特征和信息文章每季度通過Stata Journal定期發布。另外一個很重要的資源就是Statalist，這是一個第三方討論郵件列表，每月都有超過2800個Stata用戶在交換超過1000個郵件和50個程序。

矩陣編程-Mata

盡管您不需要通過編程來使用Stata，但您聽到一個快速和完整的矩陣編程語言是Stata的一個重要部分時應該也會感到很高興。Mata既是一個操作矩陣的交互式的環境，也是一個可用來編譯和優化代碼的完整的開發環境。它包括特殊的功能來處理面板數據，執行有關實時或復雜矩陣的操作，它完全集成到了Stata的各個方面。

交叉平台兼容

Stata適用Windows,Macintosh,和Unix平台計算機(包括Linux)。Stata數據集，程序和其它的數據能夠跨平台共享，而不需要轉換。

您同樣可以快速而方便的從其它統計軟件包，電子表單，數據庫中導入數據集。

完整的文檔和其它的出版物

Stata附帶完整文檔集，包括超過1800頁的基本參考手冊，包括計算公式，詳細的示例，和統計文獻參考等信息。我們的網站也是一個大型的Stata信息庫，包括最經常問到的問題及答案。

您能夠在季度Stata Journal中讀到有關統計和Stata新特征的文檔。Stata News是一份季度出版的包含新的版本和更新，NetCourse計劃，新的書籍，用戶組會議，新的產品和其它Stata用戶感興趣內容的公告。Stata Press同樣也會出版關於使用Stata和適用專家級研究者的統計主題內容書籍。

技術支持和學習資源

技術支持對Stata注冊用戶免費。

Stata通過NetCourse提供在線培訓。您能夠在您的辦公室裡，家裡，或學校裡學習Stata；按您自己的進度學習；一個合理的費用。課程涵蓋從開始使用到高級應用，編程和統計學。
































Stata is a complete, integrated statistical package that provides everything you need for data analysis, data management, and graphics. Stata is not sold in modules, which means you get everything you need in one package. And, you can choose a perpetual license, with nothing more to buy ever. Annual licenses are also available.

Stata 12 adds many new features such as structural equation modeling (SEM), contrasts, ARFIMA, business calendars, chained equations for multiple imputation, contour plots, automatic memory management, importing and exporting of Excel files, and more.


New in Stata 12

Stata 12 now shipping. Highlights are shown below. Select any header to find out more.

Structural equation modeling (SEM)
Path diagrams
Graphical model builder
Standardized and unstandardized estimates
Modification indices
Direct and indirect effects
Score tests and Wald tests
Factors scores and other predictions
Goodness of fit
Estimation with groups and tests of invariance
Survey data and clustered data
Raw or statistical summary data
FIML estimation with missing at random (MAR) data
Maximum likelihood, ADF, and GMM estimation
Flexible extension of multivariate regression, instrumental variables, and simultaneous systems
Confirmatory factor analysis (CFA), correlated uniqueness models, latent growth models, multiple indicators and multiple causes (MIMIC), ...

Contrasts

Compare reference or adjacent categories
Compare to grand mean
Orthogonal polynomials
Treatment effects

Pairwise comparisons

Compare means, intercepts, or slopes
Compare odds ratios
Bonferroni, Scheffé, Tukey, Dunnett, and other adjustments


Margins plots

Profile and interaction plots
Margins, contrasts, and pairwise comparisons
Potential outcomes
Comparative graphs


Multiple imputation

Chained equations
Conditional imputation
Impute separately within groups
Linear and nonlinear predictions
Measure simulation error
Panel data and multilevel models
Impute continuous, ordinal, cardinal, and count variables



ROC analysis

Parametric and nonparametric
Adjustments for covariates
Case-control regression models
Bootstrap and model-based SEs
Area under the curve (AUC) and partial AUC


Contour plots


Multilevel mixed-effects models

Complex survey data
Frequency and sampling weights
Robust and clustered SEs
Weighting at each level
Residual covariance structures: exponential, banded, and Toeplitz


Excel® import/export

Preview tool
Adjust import based on preview
More data management: ODBC connections strings, EBCDIC, rename groups of variables, ...



Unobserved components model (UCM)

Trend, seasonal, and cyclical components
Static and dynamic forecasts of components
Stochastic cycles


Automatic memory management

Automatically adjusts to dataset size
Tunable
Up to 1 terabyte of memory


ARFIMA

Long-memory processes
Fractional integration
Robust variance estimates
Static and dynamic forecasts
Linear constraints


Interface

Manage variables, storage types, notes, and formats without leaving the main interface
Select variables using filters
Filter prior commands and search results
Tabbed Viewer
Jump to dialogs, related commands, and sections in the online help
Hide, show, reorder, and filter variables in the Data Editor
Preview before pasting data
PDF export of results and graphs
New Mac interface


Multivariate GARCH

Constant conditional correlations (CCC)
Dynamic conditional correlations (DCC)
Varying conditional correlations (VCC)
Multivariate normal and Students’ t errors
Robust variance estimates
Level and variance predictions
Static and dynamic forecasts


Spectral density

Parametric estimates after ARIMA, ARFIMA, and UCM
Assess importance of frequencies


Installation Qualification

Downloadable tool
Report for submission to regulatory agencies



Time-series filters

Trend and cycle decompositions
Christiano–Fitzgerald band-pass filter
Baxter–King band-pass filter
Hodrick–Prescott high-pass filter
Butterworth high-pass filter


Stata/MP

More estimators
Up to 64 cores



Business calendars

Trading days
User definable
Lags and leads using business days
Conversions from standard calendar