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LQCL2515 - CMLE - Effect of Statistical Assumption Violations on Post Hoc Testing: A Methodological Case Study in Chronic Myeloid Leukemia
Course Description

LabQ 2025 Clinical Laboratory: Molecular Pathology 

Faculty/Authors

Michal Ordak, PhD
Department of Pharmacotherapy and Pharmaceutical Care
Faculty of Pharmacy
Medical University of Warsaw
Warsaw, Poland 

CMLE Credit: 2.0
Estimated Completion Time: 2 hour
Format: Online Educational Activity and Post Exam

Instructions

To claim CMLE credit for the exercise, do the following:

  1. Review the Technical Considerations.
  2. Click Go to Course to view an overview of the modules in this course.
  3. Click Access to begin the course.
  4. Review the Educational Activity.
  5. Complete and submit the Post Exam.
  6. Submit the course Evaluation to register your credit.

Faculty Disclosures​
The faculty have no relevant financial relationships with commercial interests to disclose.

Technical Considerations

Release Date: 5/31/2025 
Review Date:
Expiration Date: 12/31/2027 

Course Objectives
Following completion of this activity, you will be able to:

  • recognize the impact of violating statistical assumptions (e.g., normality, homogeneity of variance) in group comparison analyses; 

  • explain how violating assumptions when using ANOVA can lead to incorrect post hoc results; 

  • distinguish between commonly used post hoc tests (e.g., Bonferroni, Tukey, Games-Howell, Dunn’s) and identify when each is appropriate; and 

  • evaluate the importance of testing assumptions before selecting. 

 
 
 
 
 
Summary
Availability:
On-Demand
Credit Offered:
2 CMLE Credits
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