Benjamini–Hochberg procedure
The Benjamini-Hochberg procedure is a way to analyze a lot of data at once, like studying how many cookies you like or how many colors you see. It helps you figure out which results are really important and which ones might just be random.
Imagine that you have 100 cookies in front of you, all different flavors. You want to find out which ones are your favorite, but you can only taste a few at a time. The Benjamini-Hochberg procedure helps you decide which cookies to taste first because it sorts them by importance.
You start by tasting the cookies that are most likely to be your favorite - the ones that have the most unique and appealing flavors, like chocolate chip or peanut butter. Then, if you have time, you can try some of the others that were not as likely to be your favorite, like oatmeal raisin or sugar cookies.
The Benjamini-Hochberg procedure works in a similar way with data. It helps researchers pick out the most important results from a large set of data by ranking them based on their statistical significance. This helps researchers prioritize the most promising leads and focus their efforts where they will have the greatest impact.
In summary, the Benjamini-Hochberg procedure is a sorting tool used to analyze large amounts of data and identify the most important results. It helps researchers prioritize their work and focus on the most promising findings.
Imagine that you have 100 cookies in front of you, all different flavors. You want to find out which ones are your favorite, but you can only taste a few at a time. The Benjamini-Hochberg procedure helps you decide which cookies to taste first because it sorts them by importance.
You start by tasting the cookies that are most likely to be your favorite - the ones that have the most unique and appealing flavors, like chocolate chip or peanut butter. Then, if you have time, you can try some of the others that were not as likely to be your favorite, like oatmeal raisin or sugar cookies.
The Benjamini-Hochberg procedure works in a similar way with data. It helps researchers pick out the most important results from a large set of data by ranking them based on their statistical significance. This helps researchers prioritize the most promising leads and focus their efforts where they will have the greatest impact.
In summary, the Benjamini-Hochberg procedure is a sorting tool used to analyze large amounts of data and identify the most important results. It helps researchers prioritize their work and focus on the most promising findings.