Mastering Statistical Consultation: How I Detected a Critical Flaw in Sample Size Calculation
Chen Wei Oh
Father | MSc in Medical Statistic|Pharmacist (x-BCAPS) | Regulatory & GCP Inspector | use Python and R
Leveraging Expertise to Ensure Research Accuracy
In the dynamic environment of Kuala Lumpur's premier hospital, Dr. Azman, a seasoned physician, found himself grappling with a complex research dilemma. He reached out to me for statistical consultation, hoping to verify his sample size calculation. This is the story of how my expertise helped him avoid a critical error and align his research with proper statistical methodologies.
The Initial Consultation
When Dr. Azman sent me his PowerPoint presentation, I meticulously reviewed each slide. His objective was to investigate the association between certain laboratory results and treatment outcomes. However, it was immediately clear that the sample size calculation he used was inappropriate for his study design. He had calculated the sample size for a single proportion, which is not suitable for studies aiming to determine associations between variables.
Spotting the Discrepancy
As a statistician, my role involves more than just number crunching. It requires a keen eye for detail and a deep understanding of various research methodologies. Spotting the Discrepancy between Dr. Azman's objective and his sample size calculation was a crucial step. The single proportion method he used is often misapplied in research due to its simplicity, but it is essential to match the sample size calculation method with the study's objectives to ensure validity and reliability.
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Explaining the Correct Approach
During our video call, I explained the critical difference between the sample size calculation for single proportions and the one required for his study. I introduced Dr. Azman to power analysis, a robust statistical tool designed for determining the appropriate sample size when analyzing associations between variables. By guiding him through this process, I ensured that his research design was statistically sound and his findings would be credible.
The Impact of Accurate Statistical Consultation
The consultation had a profound impact on Dr. Azman's research. By recalculating the sample size using power analysis, he was able to align his study design with his research objectives. This adjustment not only strengthened the validity of his research but also enhanced its potential impact within the medical community.
Dr. Azman successfully completed his study, yielding valuable insights that could influence future medical practices. The consultation reinforced the importance of accurate statistical methodologies and demonstrated how expert guidance can make a significant difference in research outcomes.
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#ExpertConsultation #StatisticalAnalysis #MedicalResearch #PowerAnalysis #ResearchMethodology
Pharm-D | Medical Researcher | Data analyst | SPSS/R Expert | Medical Writer | Reviewer | Editor
8 个月Insightful. Without doubt, using correct approach in calculating sample size is crucial for infusing confidence in study results.