I hate flushing effects down the drain because advanced multiple comparison techniques aren't well known or easy to do. False Discovery Rate 4 Interpreting one statistical comparison is hard enough. Dear All, I am new here and this is my first post. 19 pairwise comparisons of treatment means in an experiment), what is the probability that I will find at least one P value < 0.05 due to chance alone? Viewed 50 times 0 $\begingroup$ If I conduct 19 tests (e.g. The problem of multiple comparisons. If you run a hypothesis test, there’s a small chance (usually about 5%) that you’ll get a bogus significant result. I have a problem where I am comparing a set of 9 protein amino acid (AA) sequences (Proteins I am interested in) vs 1000 random of proteins sequence sets 9 by 9. I can explain how a multiple equation can be interpreted as a comparison such as Jason is 4 times as old as Ben. Basically, I am trying to confirm that some AA (e.g. If you don't correct for multiple comparisons, you are likely to get fooled by bogus 'significant' results. The following diagrams give examples of Multiplicative Comparison: Phrases used, Model Diagram, Multiplication Equation for a Word Problem. In contrast, a lmer approach is drop dead simple. In statistics, the multiple comparisons, multiplicity or multiple testing problem occurs when one considers a set of statistical inferences simultaneously or infers a subset of parameters selected based on the observed values. I can write an equation for a situation involving multiplicative comparison. Multiple comparison problem. Interpreting a set of comparisons is much harder. Multiple Comparisons as a Visualization Problem As harmless as they may seem, if visual comparisons are akin to hypothesis tests then we should control their potential to produce false discoveries. I wonder whether there are serious problems with it that need to be considered. For example, in the pairwise multiple comparison problem, Tukey's (1953) multiple comparison procedure (MCP) uses a critical value wherein the probability of. If you run thousands of tests, then the number of false alarms increases dramatically. Active 1 year, 4 months ago. Scroll Prev Top Next More . Using More contrast (fewer variations) to solve multiple testing problem The more contrast between the variations, the more chance for different users behavior and significant results. Ask Question Asked 1 year, 5 months ago. One of the more efficient solutions to deal with the multiple test problem is to create variations that are significantly different from each other and therefore can provide a significant test result. $\endgroup$ – russellpierce Jul 16 '11 at 18:56 Hypothesis Testing > Multiple Testing Problem. In certain fields it is known as the look-elsewhere effect. What is the Multiple Testing Problem?

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