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PASS Sample Size SoftwareNCSS.comChapter 851Mendelian Randomization with a Binary Outcome Introduction This module computes the sample size and power of the causal effect in Mendelian randomization

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Determine the desired level of confidence for the study

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Specify the desired power level, which is typically set at 80% or higher

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Decide on the effect size, which is the magnitude of the difference or relationship you want to detect

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What is sample size and power?

Sample size refers to the number of observations or replicates included in a statistical sample. Power is the probability that a statistical test will correctly reject a false null hypothesis, meaning it detects an effect if there is one.

Who is required to file sample size and power?

Researchers conducting studies that involve hypothesis testing typically need to file sample size and power calculations to ensure that their study is appropriately designed.

How to fill out sample size and power?

To fill out sample size and power calculations, researchers need to specify the expected effect size, significance level, and desired power of the test, then use statistical formulas or software to determine the required sample size.

What is the purpose of sample size and power?

The purpose is to ensure that a study is adequately powered to detect an effect, which helps prevent Type II errors and enhances the validity of the research findings.

What information must be reported on sample size and power?

Researchers must report the sample size, effect size, significance level, power level, and assumptions made during calculations in their study.

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