Commercial Software

ProductName: StatsDirect

ProductURL: http://www.statsdirect.com

MailingAddress:
11 Gresham Way
Sale
Cheshire
United Kingdom
M33 3UY
Phone: +44 (0) 161 973 5205
Fax: +44 (0) 161 973 5205

Description: What is StatsDirect?

Core Features

Exceptionally easy to use
Statistics guide built into the software
Includes all common statistical methods
State-of-the-art computational methods for reliable results
Can link easily with Microsoft Excel
Delivered and supported directly via the web
Designed for both front line research and education
Built upon ten years of research and development

Data in/out

Workbooks (similar to Excel spreadsheet)
Worksheet capacity is 256 columns by 65,000 rows
Excel link (data link to put StatsDirect into Excel)
Import any common spreadsheet data
Import text based data (formatted or plain)
Read/write reports in portable rich text format (RTF)
Windows metafile scaleable graphics (can edit components in Word)

Help

Statistics guide/text on-line
Full academic references and validation of functions
Full context-sensitive integration of help
Powerful educational tool
Strong academic user base
Support via the web

Data Manipulation

On-line algebraic calculator
Apply formulae to data in worksheet
Many arithmetic, trigonometric, algebraic and logical functions
Sort in worksheet (like Excel) or as separate function
Rotate/transpose blocks of data in worksheet
Ranks and normal scores (van der Waerden, Blom and expected normal order)
Combine or split data by group identifier or separate columns
Transformations (many, including ladder of powers)
Standardization
All pairwise differences, means and slopes
Dummy/design variable generation
Interpret text and dates as numbers
Generate random numbers (uniform, normal, chi-square, F, t, binomial,
Poisson, gamma, exponential)
Categorisation of continuous data
Extraction of data subsets by search rules
Tabulation and detabulation

Descriptive Statistics

Counts, capture, mean (& conf. interval), standard deviation, standard
error, skewness, kurtosis, median, quartiles, range and a user defined
quantile
Frequencies
Crosstabs

Confidence Intervals

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

Pictorial Statistics

Business charting tool
Frequency distribution histograms
Box & whisker and spread plots
Normal plots
Forest (Cochrane, 'blobogram') plots
Scattergrams and error bar plots
Ladder, agreement and survival plots
Residual, ROC and diagnostic plots
Population pyramids
Lorenz plots
Control charts
Plot mathematical functions

Parametric Methods

Student's t tests for single, paired (including agreement stats) and
unpaired samples
Normal distribution (Z) tests
Reference ranges (normal, log-normal and percentile-based)
F (variance ratio test)
Shapiro-Wilk test for non-normality

Non-parametric Methods

Mann-Whitney
Wilcoxon signed ranks
Spearman's & Kendall's rank correlations with confidence intervals
Cuzick's test for trend
Two sample Smirnov
Quantile confidence intervals (exact)
Homogeneity of variance, including Breslow-Day test
Friedman, Cochrane Q, Kruskal Wallis with multiple contrasts
Chi-square goodness of fit
Gini coefficient of inequality with bootstrap confidence intervals
Simpson and Shannon diversity indices with bootstrap confidence intervals
Regression & Correlation
Simple linear & Pearson's correlation
Multiple/general linear
Best subset selection
Principal components analysis with Cronbach's alpha for deletions
Influential data identification
Grouped linear regression with analysis of covariance
Various linearized estimates
Probit analysis (probit or logit)
Polynomial regression with area under the curve and back interpolation
Binary logistic regression with confidence intervals for cross
classification and odds ratios
Bootstrapping of binary logistic regression
Conditional logistic regression for case-control studies
Poisson regression
Residual plots and analysis
Curve/line plotting
Cox regression
Kendall's and Spearman's rank correlations with confidence intervals

Analysis of Variance

Randomized Block: one way, two way, two way with repeats.
Multiple contrasts: Tukey(-Kramer), Dunnett, Neuman-Keuls, Scheffé and
Bonferroni
Nonparametric: Kruskal-Wallis and Friedman with multiple contrasts
Crossover
Latin squares
Nested/Hierarchical two way
Homogeneity of variance
Analysis of agreement

Agreement Analysis

Agreement of continuous data (intra-class correlation etc.)
Agreement of categorical data (kappa or two or more raters and two or
more
categories etc.)
Reliability and reducibility (Cronbach's alpha for scale reliability
etc.)

Meta-analysis

Exact pooled estimates given wherever practical
Odds ratios
Peto odds ratios
Relative risk
Risk difference
Effect size (d, g)
Incidence rate difference and ratio
Forest (Cochrane) plots and exact confidence intervals
L'Abbé plots
Bias assessment plots
Egger et al. and Begg & Mazumdar bias tests

Survival Analysis

Kaplan-Meier estimates with survival plots
Confidence intervals for mean and median survival times
Follow-up (Berkson-Gage) life tables
Abridged current life tables
Peto's Logrank with trend test and exact hazard ratios - can be
stratified
Generalized Wilcoxon test (Peto-Prentice, Gehan-Breslow or Tarone-Ware
weights)
Wei-Lachin multivariate comparison of two groups
Cox regression

Distribution Functions

Normal
Student's t
F
Chi-square
Studentized range Q
Binomial
Poisson
Spearman's rho
Kendall's tau
Non-central t
Many reliable algorithms integral to other functions e.g. hypergeometric,
Kolmogorov-Smirnov, Mann-Whitney U etc..

Chi-square

2 by 2 with confidence interval for odds ratio or relative risk
2 by k with trend
r by c with trend and G square
McNemar's (extended to k by k matched pairs)
Maxwell's
Mantel Haenszel and Woolf with plots
Cohrane-Mantel-Haenszel generalized tests for r by c by k tables
Goodness of fit

Sign & Exact Contingency

Fisher's exact (up to r by c tables)
Gart confidence intervals
Liddell's exact alternative to McNemar's
Sign test with confidence intervals

Proportions

Methods for single, paired and unpaired
Robust ("exact") confidence intervals

Rates

Exact confidence intervals for Poisson rates
Exact analysis of rate ratios
Direct standardization
Indirect standardization and standardized mortality ratios (SMRs)
Comparison of directly standardized rates

Sample Sizes

For comparison of means
For comparison of proportions (including case-control and 1:m matching)
For population surveys
For survival analysis
For correlation

Randomization

Based on reliable pseudo-random number generators
Intervention-Control allocation (including balanced groups)
Balanced allocation to intervention and control groups
Fixed and random block randomization

Miscellaneous

Relative risk, risk reduction and population attributable risk with
confidence intervals
Diagnostic test analysis
Likelihood ratios with exact confidence intervals
Risk reductions and number needed to treat with exact confidence
intervals
False result probabilities
Kappa (optional user defined weights) and Scott's pi agreement statistics
Robust random numbers
Incidence rate analysis

System Requirements

Microsoft Windows 98/ME/NT/2000/XP
At least 16MB of RAM, 64MB recommended

Availability

Available for purchase via the web.
Official orders taken from academia, public sector and corporations.
Special pricing for individuals, students and developing world.
See learning with StatsDirect for low cost learning arrangements.

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