Specifications

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 around 100 times faster than R)
  • Can link easily with Microsoft Excel
  • Delivered and supported directly via the web
  • Designed for both front line research and education
  • Built upon twenty 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 (2013/2010/2007 or 97-2003)
  • Import any common spreadsheet data
  • Import text based data (formatted or plain)
  • Read/write reports in portable rich text format (RTF) or HTML
  • Windows metafile scaleable graphics (can edit components in Word)

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Help

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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-concetration 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

  • Any version of Microsoft Windows running .Net version 4 or later, including XP (with Service Pack 3), Vista, 7, 8, 8.1 and 10
  • 32-bit or 64-bit Windows (bigger datasets and faster on 64-bit)
  • At least 1GB memory free
  • Some users run StatsDirect on a Mac with Microsoft Windows installed using virtualisation (e.g. via Vmware Fusion or Parallels)
  • Previous StatsDirect version 2 is available for old Windows NT, 2000 or XP before Service Pack 3

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Availability

Available for purchase via the web.
Official orders taken from academia, public sector and corporations.
Special pricing for individuals, students and developing world.
Third party tutorials such as learning with StatsDirect are available.

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