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The Most Popular Exact Inference Statistics Software
StatXact® 10 has over 150 tests and procedures for exact inference statistical data
and power analysis, more than any other statistical software package. Worldwide,
statisticians from across industries, academic centers, and government agencies turn
to StatXact to help solve their most challenging research questions.
What sets StatXact apart? Other statistical software relies on large-scale assumptions
for inferences, risking incorrect conclusions from data sets that are not normally
distributed. Instead, StatXact makes exact inferences by permuting data actually
observed, eliminating the need for distributional assumptions.
Statisticians and researchers find exact and nonparametric inference methods
particularly useful with smaller sample size problems.
Only in StatXact
Exact tests for equivalence and non-inferiority of paired and independent binomial data
Exact tests on unordered, singly ordered and doubly ordered RxC tables, with 
Cochran-Mantel-Haenszel (CMH) tests, for correlated data
Exact tests of trend in C correlated binomial populations
Exact tests for correlated two samples data: Wilcoxon Mann-Whitney, Normal scores, 
Savage scores, and Permutation
Exact inference on one-sample Poisson rates and Homogeneity and CI on common 
relative risks and trend in C ordered rates for Poisson data
Exact power and sample size calculations for binomial and multinomial tests
New in Version 10
- Correlated data analysis: Exact tests for ordered and unordered 	
multinomial data
- Genetics data analysis: Exact Family Based Association Tests
- Increased power for 2x2 tables: Boschloo’s test, power and sample size 	
calculations
- Improved confidence intervals: Mid-p correction
- Detection of shift and dispersion in comparing two populations: Lepage Test
- Stratified data analysis of two independent samples:	
Aligned Mid-rank Score Test
StatXact® PROCs
for SAS Users
Did you know you can use
Cytel‘s nonparametric and exact
inference methods within SAS?
StatXact® PROCs plugs into SAS,
providing immediate access to:
Over 150 additional tests and
procedures—all fully referenced
and validated
More nonparametric inference
exact statistics—see back page
Automation of batch jobs and
documentation for submittals
All within SAS.
” It is especially good to see that StatXact now includes
confidence intervals based on tests using the mid P-value.	
These methods perform well and do not seem available 	
in other software.“
— Professor Alan Agresti
Distinguished Professor Emeritus, University of Florida
StatXact 10 compared to SAS
The most nonparametric and exact inference methods.
Now with R integration and expanded OS support.
	 StatXact	SAS
One-sample Goodness-of-Fit
Chi-Square 	 YES 	 YES
Kolmogorov 	 YES
Lilliefors 	 YES
Runs 	 YES
Paired Samples
Sign 	 YES 	 YES
Wilcoxon Signed-Rank 	 YES 	 YES
Hodges Lehman Estimates 	 YES
Permutation 	 YES
McNemar - Conditional 	 YES 	 YES
McNemar - Unconditional 	 YES
Marginal Homogeneity 	 YES
Two Independent Samples
Wilcoxon-Mann-Whitney 	 YES 	 YES	*
Hodges Lehman estimates	 YES 	 YES
Normal Scores 	 YES 	 YES	*
Savage Scores 	 YES 	 YES	*
Siegel-Tukey 	 YES 	 YES
Lepage 	 YES
Aligned Midrank Score (stratified) 	 YES
Ansari-Bradley 	 YES 	 YES
Klotz 	 YES 	 YES
Mood 	 YES 	 YES
Conover 	 YES
Permutation 	 YES 	 YES	*
Logrank 	 YES
Wilcoxon-Gehan 	 YES
Kolmogorov-Smirnov 	 YES 	 YES
Wald-Wolfowitz Runs 	 YES
K Related Samples
Friedman 	 YES
Kendall’s W 	 YES
Cochran’s Q 	 YES
Quade 	 YES
Page 	 YES
K Independent Samples
Median 	 YES 	 YES
Kruskall-Wallis 	 YES 	 YES
Normal Scores 	 YES 	 YES
Savage 	 YES 	 YES
ANOVA with General Scores 	 YES 	 YES
Jonckheere-Terpstra 	 YES 	 YES
Linear by Linear 	 YES 	 YES
Logrank 	 YES
Wilcoxon-Gehan 	 YES
Tarone and Ware Trend 	 YES
	 StatXact	SAS
One-Sample Rates and Proportions
Binomial 	 YES 	 YES
Multinomial 	 YES
Poisson 	 YES
Poisson Rates
Homogeneity of Relative Risks 	 YES
CI on Common Relative Risk 	 YES
Trend in C Ordered Poisson Rates 	 YES
Two Independent Binomials
Boschloo 	 YES
Fisher’s Exact 	 YES 	 YES
Pearson’s Chi-square 	 YES 	 YES
Likelihood Ratio 	 YES 	 YES
CI on Odds Ratio 	 YES 	 YES
Barnard’s Test for Superiority 	 YES	 YES
Tests of Non-inferiority 	 YES
Tests of Equivalence 	 YES
CI on Difference of Proportions 	 YES	 YES
CI on Ratio of Proportions 	 YES	 YES
Two Related Binomials
McNemar 	 YES 	 YES
CI on odds Ratio 	 YES
Test for Superiority 	 YES
Tests of Non-inferiority 	 YES
Tests of Equivalence 	 YES
CI on Di!erence of Proportions 	 YES
Stratifed 2x2 Tables
Homogeneity of Odds Ratios 	 YES 	 YES
CI on Common Odds Ratios 	 YES 	 YES
C Ordered Binomials (with or without strata)
Cochran-Armitage Trend 	 YES 	 YES	*
Permutation with General Scores 	 YES 	 YES	*
Trend Test for Clustered Data 	 YES
Test for Interaction Across Strata 	 YES
Two Ordered Multinomials (with or without strata)
Wilcoxon-Mann-Whitney 	 YES 	 YES	*
Savage Scores 	 YES 	 YES	*
Normal Scores 	 YES 	 YES	*
Permutation with General Scores 	 YES 	 YES	*
Test for Interaction Across Strata 	 YES
Unordered RxC Table
Pearson’s ChiSquare 	 YES 	 YES
Likelihood Ratio 	 YES 	 YES
Fisher-Freeman-Halton 	 YES 	 YES
Genetic Data
Family Based Association Test	 YES 	
	 StatXact	SAS
Single Ordered RxC Table
Kruskal-Wallis 	 YES 	 YES
Normal Scores 	 YES 	 YES
Savage 	 YES 	 YES
ANOVA with Arbitrary Scores 	 YES 	 YES
Doubly Ordered RxC Table
Jonckheere-Terpstra 	 YES 	 YES
Linear by Linear Association 	 YES 	 YES
Stratified RxC Tables
Unordered RxC Table 	 YES
Single Ordered RxC Table 	 YES
Doubly Ordered RxC Table 	 YES
Correlated Categorical Data
C Binomial Population
Test of Correlation	 YES
Test for Trend	 YES
Multiple Binary Outcomes
Test for Trend 	 YES
Two Ordered Multinomials
Wilcoxon Ranksum	 YES
Savage Scores	 YES
Normal Scores	 YES
Permutation with General Score	 YES
Tests for RxC Tables 	YES
Measures of Association (nominal)
Contingency Coefficients 	 YES
Goodman-Kruskal-Tau 	 YES
Uncertainty Coefficient 	 YES
Measures of Association (ordinal)
Pearson’s Correlation 	 YES 	 YES
Spearman’s Correlation 	 YES 	 YES
Kendall’s Concordance 	 YES
Kendall’s Tau and Somers’D 	 YES 	 YES
Gamma Coefficient 	 YES
Measures of Agreement
Cohen’s Kappa 	 YES 	 YES
Weighted Kappa 	 YES 	 YES
Power  Sample Size
One Binomial 	 YES 	 YES
Paired Binomials: Difference 	 YES
Two Binomials: Difference
Superiority (conditional) 	 YES 	 YES
Superiority (unconditional) 	 YES
Non-inferiority 	 YES
Equivalence 	 YES
Two Binomials: Ratio
Superiority (unconditional) 	 YES
Non-inferiority 	 YES
Equivalence
K ordered Binomials 	 YES
Two Ordered Multinomials (power) 	 YES
* StatXact 10 can handle stratified or unstratified data
SAS can handle only unstratified data
www.cytel.com 675 Massachusetts Ave., Cambridge, MA 02139 +1.617.661.2011

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Exact Inference Software StatXact® 10 Has Over 150 Statistical Tests

  • 1. The Most Popular Exact Inference Statistics Software StatXact® 10 has over 150 tests and procedures for exact inference statistical data and power analysis, more than any other statistical software package. Worldwide, statisticians from across industries, academic centers, and government agencies turn to StatXact to help solve their most challenging research questions. What sets StatXact apart? Other statistical software relies on large-scale assumptions for inferences, risking incorrect conclusions from data sets that are not normally distributed. Instead, StatXact makes exact inferences by permuting data actually observed, eliminating the need for distributional assumptions. Statisticians and researchers find exact and nonparametric inference methods particularly useful with smaller sample size problems. Only in StatXact Exact tests for equivalence and non-inferiority of paired and independent binomial data Exact tests on unordered, singly ordered and doubly ordered RxC tables, with Cochran-Mantel-Haenszel (CMH) tests, for correlated data Exact tests of trend in C correlated binomial populations Exact tests for correlated two samples data: Wilcoxon Mann-Whitney, Normal scores, Savage scores, and Permutation Exact inference on one-sample Poisson rates and Homogeneity and CI on common relative risks and trend in C ordered rates for Poisson data Exact power and sample size calculations for binomial and multinomial tests New in Version 10 - Correlated data analysis: Exact tests for ordered and unordered multinomial data - Genetics data analysis: Exact Family Based Association Tests - Increased power for 2x2 tables: Boschloo’s test, power and sample size calculations - Improved confidence intervals: Mid-p correction - Detection of shift and dispersion in comparing two populations: Lepage Test - Stratified data analysis of two independent samples: Aligned Mid-rank Score Test StatXact® PROCs for SAS Users Did you know you can use Cytel‘s nonparametric and exact inference methods within SAS? StatXact® PROCs plugs into SAS, providing immediate access to: Over 150 additional tests and procedures—all fully referenced and validated More nonparametric inference exact statistics—see back page Automation of batch jobs and documentation for submittals All within SAS. ” It is especially good to see that StatXact now includes confidence intervals based on tests using the mid P-value. These methods perform well and do not seem available in other software.“ — Professor Alan Agresti Distinguished Professor Emeritus, University of Florida
  • 2. StatXact 10 compared to SAS The most nonparametric and exact inference methods. Now with R integration and expanded OS support. StatXact SAS One-sample Goodness-of-Fit Chi-Square YES YES Kolmogorov YES Lilliefors YES Runs YES Paired Samples Sign YES YES Wilcoxon Signed-Rank YES YES Hodges Lehman Estimates YES Permutation YES McNemar - Conditional YES YES McNemar - Unconditional YES Marginal Homogeneity YES Two Independent Samples Wilcoxon-Mann-Whitney YES YES * Hodges Lehman estimates YES YES Normal Scores YES YES * Savage Scores YES YES * Siegel-Tukey YES YES Lepage YES Aligned Midrank Score (stratified) YES Ansari-Bradley YES YES Klotz YES YES Mood YES YES Conover YES Permutation YES YES * Logrank YES Wilcoxon-Gehan YES Kolmogorov-Smirnov YES YES Wald-Wolfowitz Runs YES K Related Samples Friedman YES Kendall’s W YES Cochran’s Q YES Quade YES Page YES K Independent Samples Median YES YES Kruskall-Wallis YES YES Normal Scores YES YES Savage YES YES ANOVA with General Scores YES YES Jonckheere-Terpstra YES YES Linear by Linear YES YES Logrank YES Wilcoxon-Gehan YES Tarone and Ware Trend YES StatXact SAS One-Sample Rates and Proportions Binomial YES YES Multinomial YES Poisson YES Poisson Rates Homogeneity of Relative Risks YES CI on Common Relative Risk YES Trend in C Ordered Poisson Rates YES Two Independent Binomials Boschloo YES Fisher’s Exact YES YES Pearson’s Chi-square YES YES Likelihood Ratio YES YES CI on Odds Ratio YES YES Barnard’s Test for Superiority YES YES Tests of Non-inferiority YES Tests of Equivalence YES CI on Difference of Proportions YES YES CI on Ratio of Proportions YES YES Two Related Binomials McNemar YES YES CI on odds Ratio YES Test for Superiority YES Tests of Non-inferiority YES Tests of Equivalence YES CI on Di!erence of Proportions YES Stratifed 2x2 Tables Homogeneity of Odds Ratios YES YES CI on Common Odds Ratios YES YES C Ordered Binomials (with or without strata) Cochran-Armitage Trend YES YES * Permutation with General Scores YES YES * Trend Test for Clustered Data YES Test for Interaction Across Strata YES Two Ordered Multinomials (with or without strata) Wilcoxon-Mann-Whitney YES YES * Savage Scores YES YES * Normal Scores YES YES * Permutation with General Scores YES YES * Test for Interaction Across Strata YES Unordered RxC Table Pearson’s ChiSquare YES YES Likelihood Ratio YES YES Fisher-Freeman-Halton YES YES Genetic Data Family Based Association Test YES StatXact SAS Single Ordered RxC Table Kruskal-Wallis YES YES Normal Scores YES YES Savage YES YES ANOVA with Arbitrary Scores YES YES Doubly Ordered RxC Table Jonckheere-Terpstra YES YES Linear by Linear Association YES YES Stratified RxC Tables Unordered RxC Table YES Single Ordered RxC Table YES Doubly Ordered RxC Table YES Correlated Categorical Data C Binomial Population Test of Correlation YES Test for Trend YES Multiple Binary Outcomes Test for Trend YES Two Ordered Multinomials Wilcoxon Ranksum YES Savage Scores YES Normal Scores YES Permutation with General Score YES Tests for RxC Tables YES Measures of Association (nominal) Contingency Coefficients YES Goodman-Kruskal-Tau YES Uncertainty Coefficient YES Measures of Association (ordinal) Pearson’s Correlation YES YES Spearman’s Correlation YES YES Kendall’s Concordance YES Kendall’s Tau and Somers’D YES YES Gamma Coefficient YES Measures of Agreement Cohen’s Kappa YES YES Weighted Kappa YES YES Power Sample Size One Binomial YES YES Paired Binomials: Difference YES Two Binomials: Difference Superiority (conditional) YES YES Superiority (unconditional) YES Non-inferiority YES Equivalence YES Two Binomials: Ratio Superiority (unconditional) YES Non-inferiority YES Equivalence K ordered Binomials YES Two Ordered Multinomials (power) YES * StatXact 10 can handle stratified or unstratified data SAS can handle only unstratified data www.cytel.com 675 Massachusetts Ave., Cambridge, MA 02139 +1.617.661.2011