Ultimate Insights, for Insightful Solutions
Scientifically determine the optimal number of participants for statistically valid and cost-effective research through our professional power analysis services.
Proper sample size calculation is the foundation of credible research. Our precise power analyses ensure your study has the right balance between statistical rigor and practical feasibility.
Ensure adequate statistical power (typically 80-90%) to detect true effects when they exist, reducing Type II errors.
Prevent wasteful over-recruitment while ensuring sufficient data for meaningful conclusions in your research study design.
Strengthen grant proposals and publications with rigorous power analysis documentation.
We collaborate to determine your primary outcome, effect size, significance level (α), and desired power (1-β) for your clinical trial statistics.
We identify the correct statistical test for your study design (t-test, ANOVA, regression, etc.).
Using statistical software, we compute the minimum required sample size for your parameters.
We account for expected attrition rates, clustering effects, or multiple comparisons as needed in your survey research.
Our comprehensive report includes:
RCTs, non-inferiority, and equivalence studies
Cohort, case-control, and cross-sectional designs
Precision-based sample size for proportions
Animal and laboratory experiments
Our power analysis ensures your study is neither under- nor over-powered.
Methodologically sound research plans
Validated data collection instruments
Clear presentation of research results
"Michael's work was incredible. He explained the complex nature of my experiment and provided a detailed sample size and power analysis report that was approved without ammedments by my supervisor and the commettee."
"Michael's work was very good. He provided a sophisticated power analysis for my proposed longitudinal study, which made by research project to appear well-designed, feasible, and an efficient use of resources."
"Michael's work on sample size and power calculations was great. We achieved not only statistical validity, but also ethical and financial approval."
