POWER ANALYSIS Explained: How To Calculate Sample Size For Your Research

Power analysis is a critical step in the design of an experiment or study, used to determine the minimum sample size required to detect an effect of a given size with a certain degree of confidence. Here is a step-by-step guide on how to conduct a power analysis.
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Power analysis helps ensure your study is adequately powered to detect meaningful effects, reducing the risk of Type II errors and making your findings more reliable. Using software tools simplifies the process and provides precise calculations tailored to your specific research design.
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This video is about Power analysis, Sample size calculation, Research methodology, Statistical power, Effect size, Significance level, Research design, G*Power tutorial, Power analysis example and Statistical test selection.

[@adwoabiotech]

Download g*power here: www.psychologie.hhu.de/arbeitsgruppen/allgemeine-psychologie-und-arbeitspsychologie/gpower

[@freeseyyah1547]

I want to ask a question. My English skill is not enough to understand . It could be silly question sorry . I am trying to learn statistics . I would love to do statistics of my researches my own .
I want to do a research about "Mortality and complications after percutaneous endoscopic gastrostomy)PEG): a retrospective one-centered study"
My universe is 908 PEG . After excluding criterias I dont know how much will stay but probably around 600 cases I want them all.
How can I calculate for that retrospective research sample size.
1-After PEG minör complication rate : %18-38 major complcation %2-4
2-After PEG mortality rate in 30 days : %3-23
I want to do multiple regression analyses . I have 2 dependent variables "mortality after peg " and "complications after peg"
I have 31 independent variables.
I do calculate at GPower .
F test- Linear multiple regression : fixed model, r2 deviation from zero: A priori
Effect size 0.15 , a 0.05 B: 0.95 number of predictors 31
Sample size 264.
***My question is this how can ı find effect size? Do you suggest me any other advice for my research sample size calculate ?
Thanks for helping and sorry for baby english and long question.

[@adwoabiotech]

Hi! As I am not a statistician, I cannot fully help. However, based on what I've understood of your question, you may be able to calculate the odds ratio for the percutaneous endoscopic gastrostomy vs. those without the intervention. This would give you the effect size parameter to input into the sample size calculations.
For the regression analysis, perhaps a correlation coefficient would be the best way to assess it's effect.
Please confirm theses approaches with a qualified statistician :)