Contents:

Core Features

  • Exceptionally easy to use
  • Statistics guide built into the software
  • Includes all common statistical methods
  • State-of-the-art computational methods for fast and reliable results (e.g. bootstrap faster than R)
  • Data in a spreadsheet grid that reads and writes Microsoft Excel workbooks
  • Every analysis continues as a short R script of its data and settings, run in the built-in R script window or taken to R or RStudio
  • AI assistance in reports and R scripts, and a statistics tutor with lessons, through your own ChatGPT account
  • Free and open source under the MIT licence
  • Delivered and supported directly via the web
  • Designed for both front line research and education
  • Built upon more than thirty years of research and development

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Data Import and Export

  • Workbooks (similar to Excel spreadsheet)
  • Maximum worksheet capacity is 64K columns by 1M rows
  • Read and write Microsoft Excel files
  • Import any common spreadsheet data
  • Import text based data (formatted or plain)
  • Reports are editable HTML, exported to Word or PDF; earlier RTF reports can be opened
  • Charts are SVG vector graphics, saved as SVG or PNG and pasted into Word as pictures
  • Read and write R data files (.rds, .RData) through R; import Excel data with their types; open C#, VB and R scripts

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Help

  • Statistics guide/text on-line
  • Comprehensive scientific references for methods
  • Context-sensitive help with results/reports
  • Help built into the program, offline, in a pane beside your work; each result's help opens from the report
  • Powerful educational tool
  • Global academic user base

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Learning and AI Assistance

  • Help > Learning: short lessons in biostatistics and epidemiology with a statistics tutor, worked examples that open in StatsDirect and in R, practice questions and a learning record kept on your computer
  • AI assistance in reports and R scripts: ask about a result, a script or a method and get an explanation and R code you can open and run
  • Through your own ChatGPT account: the connecting component downloads on first use, nothing from your documents is shared unless you choose it for each question, and an organisation can switch it off by policy
  • Continue in R: every analysis as a short R script of its data, settings and method, run in the built-in R script window with the R installed on your computer, or taken to R or RStudio

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Data Preparation

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Descriptive Statistics

  • Univariate descriptive statistics (count, mean, standard deviation, standard error, confidence interval, skewness, kurtosis, median, quartiles, range and a user defined quantile)
  • Frequencies
  • Tabulations and crosstabs
  • Time series summary with area under time-concentration curve for pharmacokinetics

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Confidence Intervals

  • Strong emphasis on confidence interval inference
  • Exact (profile likelihood) methods used wherever practical
  • Additional mid-P coverage given with many intervals
  • Help on interpretation

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Graphics/Charts/Plots

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Parametric Methods

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 Non-parametric Methods

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Regression and Correlation

  • Simple linear regression and Pearson's correlation
  • Multiple/general linear with best subset selection
  • Principal components analysis (PCA) with Cronbach's alpha
  • Influential data identification, residual diagnostics and plots
  • Grouped linear regression with analysis of covariance
  • Various linearized estimates
  • Probit analysis (probit or logit), dose response, ED50, LD50
  • Polynomial regression with area under curve and back interpolation
  • Logistic regression with confidence intervals for cross classification and odds ratios, and bootstrap
  • Conditional logistic regression for matched case-control studies
  • Poisson regression, relative risk, incidence rate ratio
  • Curve fitting
  • Cox regression, proportional hazards, hazard ratio
  • Kendall and Spearman rank correlations with confidence intervals

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Analysis of Variance

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Agreement Analysis

Meta-analysis

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Survival Analysis

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Distribution Functions

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Chi-square Contingency Tables

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Exact Tests on Counts

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Proportions

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Rates

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Sample Size Estimation

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Randomization

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Clinical Epidemiology

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System Requirements

  • 64-bit Microsoft Windows 10 (version 1809) or later, including Windows 11
  • The setup program installs Microsoft .NET 10 and the WebView2 runtime when they are missing; the download is about 300 MB
  • R is optional, for Continue in R and the R script window: StatsDirect offers to install it when a script first runs
  • AI assistance and the tutor need a ChatGPT account and an internet connection; the lessons work without them
  • At least 1GB memory free
  • You can run StatsDirect on a Mac via Parallels or Vmware Fusion

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Technical history and licence

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