I will determine the sample size for your clinical research project

To do a sample size calculation you first need to decide what you aim to detect with your study. This is called the Minimal Clinically Important Difference (MCID), sometimes called the clinical effect size.

It is sometimes hard to define the desired effect size, because:

• if the specified effect is too large, it is easy to fulfill the objectives, but it may hold no value in clinical practice;
• if the effect is too small you might need to collect a sample so large it is not feasible in your timeframe and resources constraints

I can help you find that sweet spot, so you can plan your study within the practical constraints of your project.

After you decided on the minimal effect size you want to be able to detect, the next step is to calculate the sample size. I can calculate it and write it down in a clear and simple paragraph you can understand, ready to be copied and pasted to your project.

This includes:

• sample size for difference in means
• sample size for difference in proportions
• absolute/relative effect size
• survival analysis

PS: I offer progressive discounts for bundling services so I can assist you with all phases (Study Design, e-CRF setup, and Final Analysis).