Questions tagged [bonferroni]
Bonferroni refers to a method of adjustment for multiple comparisons in which the p value is divided by the number of tests. It is more conservative than many other such methods.
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Handling multiple comparison corrections in association rule mining
We’re working on a project applying association rule mining to environmental DNA (eDNA) datasets, and run into some uncertainty regarding how to best handle multiple comparison corrections in this ...
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What qualifies to be a "family of statistical tests" for Bonferroni corrections?
I have looked at posts about multiple hypotheses, but not found what I'm looking for.
I have different sets of statistical analyses in my paper:
Comparisons of valid to excluded data (8 tests; just ...
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Why is the Bonferroni correction needed?
Intuitively it makes sense that extracting multiple hypotheses from the same dataset is a bad idea because the probability of a false positive goes up. But when I think more about it, it doesn't make ...
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How to tell author that post hoc data manipulation is not okay
I’m a clinical/forensic psychologist with a PhD and some research experience, and often get asked to be an ad hoc reviewer for a journal.
I recently recommended rejecting an article that had a lot of ...
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How to perform a simulation-based power analysis for data with beta distributed DV?
I have to perform a power analysis to compute how many participants I need to recruit for an experiment. My problem is that I am not sure if I wrote the script in a right way. I have never tried to ...
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About Bonferroni correction for adjusted Pearson residuals
I am reading about how to interpret the results of a chi-square test based on adjusted Pearson residuals. I am reading is https://cscu.cornell.edu/wp-content/uploads/conttableresid.pdf
I understand ...
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Correction Bonferroni SPSS
Should I apply Bonferroni correction to independent and dependent t-tests, one-way ANOVA, correlations when studying multiple dependent variables (that are not related to each other)? From everything ...
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Is it optimal to run 18 LMMs with Bonferroni correction?
I’m working with a dataset that includes 6 continuous predictor variables and 6 continuous response variables across 3 different years. I plan to run a total of 18 linear mixed models (LMMs), one for ...
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Should I use ANOVA, MANOVA or Kruskal-Wallis (Or something else?!) trying to show that there is a significant difference between four vignettes? [closed]
I’m quite new to stats and very new to stackexchange so please bare with me.
I have a set of data which I want to analyse to basically see if having piercings makes it more or less likely for someone ...
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How to perform Bonferroni correction with different model interactions
My advisor has asked me to use the Bonferroni correction on part of my data analysis. I understand the correction in theory, but I'm not sure how to apply it to my particular data.
I measured 9 traits ...
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Bonferroni and FDR in R [closed]
I have built so far 16 models with the same exposure variable (which has 3 categories) to test my 16 hypothesis in the same database. My research is all about to test if one or two of those categories ...
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Visualising Raw Data
I've a dataset that presents annual trends over a ten year period. We have calculated confidence intervals for each year. Essentially these are raw data points which are presented in columnar format ...
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Comparing six independent groups with one control group (control has lesser n)
I have probably easy-to-solve problem related to statistical approach. Lets define the problem. I need to compare six independent (lets say 'treatment') groups (for each n = 21) and one control group (...
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Which is better - FDR or Holm-Bonferroni? [closed]
I am conducting an auditory flanker task with monkeys. It is a within-subjects design with 4(6 soon) subjects and has 4 conditions. I want to run pairwise comparisons after running a one way RM ANOVA. ...
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Bonferroni correction while comparing multiple correlations between two groups
I hope you’re all doing well. I have a question regarding the Bonferroni correction. I’m working with a dataset that includes two groups: Alpha and Beta. Additionally, I have results from six blood ...
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