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StatXact® Examples

Applying StatXact® 9 New Methods

1. Tests for Two Ordered Correlated Multinomials

StaXact 9 example - Wilcoxon Rank Sum, Normal Scores, Savage Scores and Permutation tests with general scores for correlated data.

The data is gathered on two multinomial populations. For each population the response categories are ordered. Each population can have multiple clusters but no cluster is shared by both of the populations. We adopt the exponential family model in Heagerty and Zeger (1996) and conditional analysis suggested by Corcoran et.al.(2001) and make the following assumptions:

  1. Exchangeability between observations within cluster
  2. Three way and higher association parameters are assumed to be zero
  3. Assume cluster independence

Wilcoxon Rank Sum test

We illustrate the use of the Wilcoxon Rank Sum test for two ordered correlated multinomial distributions by considering partial data from Miller and Landis (1991). The data comes from a randomized study which compares an investigative drug to a placebo in relieving the symptoms pain and spasms.

The investigators treated and evaluated patients on three levels of response: worse or no change, slight improvement, and more improvement or cured which are coded as 0,1 and 2 respectively. Investigators are treated as clusters, placebo will be represented as 0 and drug as 1.

The test is run on the data with the following output generated:

StatXact® gives the summary of the test statistic as well as the observed test statistic. One-sided left tailed exact p-value is 0.1793 indicating that at 5% level of significance the null hypothesis of no association will be accepted.

StatXact also provides exact 2*1-sided p-value which is 0.3586 for right tailed alternative in this example. Exact P-value for two- sided alternative is also provided which is 0.3595. StatXact builds the exact distribution of the test statistic. The probability that the test statistic value is equal to the observed value is called the point probability which in this example is 0.01194.

2. Exact Designs added to Power and Sample Size menu

Non-inferiority, Superiority and Equivalence tests for ratio of two binomial proportions have been added in this version.

To illustrate the exact design for non-inferiority for ratio of two binomial populations, consider data by Chan (1998) involving childhood nephroblastoma. The standard treatment is nephrectomy followed by post-operative radiotherapy. The experimental treatment is pre-operative chemotherapy to reduce the tumor mass, then nephrectomy.

Suppose we’re interested in computing power for the exact non-inferiority design for ratio of proportions. Upon entering the values in the power and sample size dialog box, clicking ‘Compute Power’ gives the output:

The exact power is computed as 99.73%.
You will also see maximum attained α is 0.0247.

References

Chan ISF (1998). Exact tests of equivalence and efficacy with a non-zero lower bound for comparative studies. Statistics in Medicine 17:1403-1413.

Corcoran C, Ryan L, Senchaudhuri P, Mehta C, Patel N, Molenberghs G. (2001). An exact trend test for correlated data. Biometrics 57:941-948.

Heagerty PJ, Zeger SL (1996). Marginal regression models for clustered ordinal measurements. Journal of the American Statistical Association 91(435):1024-1036.

Krall JM, Uthoff VA, Harley JB. (1975). A step-up procedure for selecting variables associated with survival data. Biometrics 31: 49-57.

StatXact Example Library

  1. New-Born Behavior Level Study: Friedman Rank Aligned Test
  2. Histological Data: Test for Correlation in Correlated Categorical Data
  3. Teratology Study: Test for Trend in Correlated data
  4. Neurotoxicity Study: Test of Trend in Multiple Endpoints Correlated Data
  5. Meta Analysis with StatXact
  6. Does Type of Reward Influence Reaction to Task Disruption?
  7. FDA Animal Toxicology Data Yields Sky-Scraper Distribution for Stratified Trend Test
  8. Minority Discrimination: An Analysis of Ill-Conditioned Data
  9. Leukemia Deaths Among Hiroshima Atomic Bomb Survivors
  10. Cochran-Armitage Exact Test of Trend for Imbalanced Data
  11. Adverse Reactions in Children Infected with Varicella
  12. Comparison of Five Modes of Therapy for the Treatment of Depression
  13. Did Entrance Exam for Firefighters Discriminate Against Minorities?
  14. StatXact Shows Small Differences in Cardiovascular Outcomes to be Statistically Significant
  15. Do Five Different Chemotherapy Methods Differ Significantly in Treatment Response?
  16. Do Birds with More Immaculate Plumage Frequent the Best Feeding Sites?
  17. How Accurately do Pregnant Women Report Whether They Smoke?
  18. Do Older Employees Get Poorer Job Ratings?
  19. StatXact & LogXact: Is the New Analgesic More Effective than Aspirin?
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