28 January 2022 3 7K Report

Dear all,

I need some help deciding on the minimum sample numbers for meaningful statistical analysis. I will be working with blood samples and so far I have planned 3 experiments;

1) I have one independent variable (2-levels) (eg. 2 different pH values), and control and treatment groups. So I would like to see how the pH affects the measurements in my control/treatment groups. At the same time, I would like to divide my samples into categories (eg. blood groups A,B,O,AB +) and see if there exist a difference regarding the measurements done for control/treatment

2) Next, I would like to measure a quantifiable value (eg. hemoglobin content) for the same group of people and then see if there is a difference between blood groups

3) Lastly, I want to measure another quantifiable value (eg. Ca2+ content) at the same 2 different pH levels (like above) and at last check if there exists a difference at Ca2+ levels for the blood groups as well

As I will be working with human material I am trying to keep the number of donors I need to a minimum. I also think that I will not be able to have the same amount of donors per blood group.

I am not sure if I can lower the number of donors by doing repeated measures, or if I should just get a population of eg. 20 people to do the experiments and assign the categorical value (blood groups) randomly. I know the donor size is also dependent on the type of statistical analysis but I am having a hard time calculating the effect sizes.

I appreciate all the answers/ideas/comments :)

Thank you!!

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