Sample Size and Power Calculation by AKLILU ABRHAM ROBASample Size and Power Calculation by AKLILU ABRHAM ROBA
Sample Size and Power Calculation AKLILU ABRHAM ROBA
Cover image for Sample Size and Power Calculation
As an expert statistical consultant, I provide sample size calculations and power analyses for research studies using PASS and G*Power. I help researchers determine optimal sample sizes for experiments, clinical trials, surveys, and observational studies to ensure adequate statistical power. Get IRB-ready documentation with clear justification.

What's included

Sample Size Calculation Report
The report provides a detailed analysis and recommends a sample size based on your study design, effect size, significance level, and desired power. The report also includes the statistical justification and assumptions.
Power Analysis Documentation
The study includes a comprehensive power analysis that shows the probability of detecting effects of different sizes. The analysis also includes sensitivity analyses and displays graphs generated by PASS or G*Power.
Statistical Assumptions & Methodology
The document provides a clear explanation of the statistical methods used, the assumptions made, and the rationale for the chosen parameters. The text is written in an accessible language suitable for IRB submissions or grant proposals.
PASS/G*Power Output Files
The original PASS or G*Power analysis files contain all necessary calculations, graphs, and tables. This allows you to modify parameters or demonstrate your methodology to reviewers.
FAQs
I work with various designs, including t-tests, ANOVA, regression, correlation, chi-square, survival analysis, clinical trials, longitudinal studies, and more. Both experimental and observational research designs are supported.
Most sample size calculations are completed within 1-2 days. Complex designs or multiple scenarios may take up to 3 days. Rush service is available for urgent IRB deadlines.
Absolutely! I can help you estimate effect sizes based on pilot data and literature review or provide sensitivity analysis showing sample sizes for small, medium, and large effects.
Yes! The deliverables are formatted for IRB applications, grant proposals (e.g., NIH, NSF), and thesis/dissertation committees. I provide a clear justification that reviewers expect.
Starting at$50
Duration2 days
Tags
R
Stata
Professor
Researcher
Statistician
Service provided by
AKLILU ABRHAM ROBA İstanbul, Turkey
1
Followers
Sample Size and Power Calculation AKLILU ABRHAM ROBA
Starting at$50
Duration2 days
Tags
R
Stata
Professor
Researcher
Statistician
Cover image for Sample Size and Power Calculation
As an expert statistical consultant, I provide sample size calculations and power analyses for research studies using PASS and G*Power. I help researchers determine optimal sample sizes for experiments, clinical trials, surveys, and observational studies to ensure adequate statistical power. Get IRB-ready documentation with clear justification.

What's included

Sample Size Calculation Report
The report provides a detailed analysis and recommends a sample size based on your study design, effect size, significance level, and desired power. The report also includes the statistical justification and assumptions.
Power Analysis Documentation
The study includes a comprehensive power analysis that shows the probability of detecting effects of different sizes. The analysis also includes sensitivity analyses and displays graphs generated by PASS or G*Power.
Statistical Assumptions & Methodology
The document provides a clear explanation of the statistical methods used, the assumptions made, and the rationale for the chosen parameters. The text is written in an accessible language suitable for IRB submissions or grant proposals.
PASS/G*Power Output Files
The original PASS or G*Power analysis files contain all necessary calculations, graphs, and tables. This allows you to modify parameters or demonstrate your methodology to reviewers.
FAQs
I work with various designs, including t-tests, ANOVA, regression, correlation, chi-square, survival analysis, clinical trials, longitudinal studies, and more. Both experimental and observational research designs are supported.
Most sample size calculations are completed within 1-2 days. Complex designs or multiple scenarios may take up to 3 days. Rush service is available for urgent IRB deadlines.
Absolutely! I can help you estimate effect sizes based on pilot data and literature review or provide sensitivity analysis showing sample sizes for small, medium, and large effects.
Yes! The deliverables are formatted for IRB applications, grant proposals (e.g., NIH, NSF), and thesis/dissertation committees. I provide a clear justification that reviewers expect.
$50