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Questions tagged [multiple-comparisons]

Signals situations where one is concerned about achieving intended power and size when more than one hypothesis test is performed.

74 votes
4 answers
24k views

Look and you shall find (a correlation)

I have several hundred measurements. Now, I am considering utilizing some kind of software to correlate every measure with every measure. This means that there are thousands of correlations. Among ...
David's user avatar
  • 915
67 votes
5 answers
50k views

Is adjusting p-values in a multiple regression for multiple comparisons a good idea?

Lets assume you are a social science researcher/econometrician trying to find relevant predictors of demand for a service. You have 2 outcome/dependent variables describing the demand (using the ...
Mikael M's user avatar
  • 773
66 votes
1 answer
8k views

40,000 neuroscience papers might be wrong

I saw this article in the Economist about a seemingly devastating paper [1] casting doubt on "something like 40,000 published [fMRI] studies." The error, they say, is because of "erroneous statistical ...
R Greg Stacey's user avatar
60 votes
3 answers
29k views

When combining p-values, why not just averaging?

I recently learned about Fisher's method to combine p-values. This is based on the fact that p-value under the null follows a uniform distribution, and that $$-2\sum_{i=1}^n{\log X_i} \sim \chi^2(2n), ...
Alby's user avatar
  • 2,243
47 votes
5 answers
7k views

Why is multiple comparison a problem?

I find it hard to understand what really is the issue with multiple comparisons. With a simple analogy, it is said that a person who will make many decisions will make many mistakes. So very ...
AgCl's user avatar
  • 613
46 votes
4 answers
45k views

Significance contradiction in linear regression: significant t-test for a coefficient vs non-significant overall F-statistic

I'm fitting a multiple linear regression model between 4 categorical variables (with 4 levels each) and a numerical output. My dataset has 43 observations. Regression gives me the following $p$-...
Leo's user avatar
  • 2,634
43 votes
5 answers
14k views

The meaning of "positive dependency" as a condition to use the usual method for FDR control

Benjamini and Hochberg developed the first (and still most widely used, I think) method for controlling the false discovery rate (FDR). I want to start with a bunch of P values, each for a different ...
Harvey Motulsky's user avatar
41 votes
2 answers
9k views

Should we address multiple comparisons adjustments when using confidence intervals?

Suppose we have a multiple comparisons scenario such as post hoc inference on pairwise statistics, or like a multiple regression, where we are making a total of $m$ comparisons. Suppose also, that we ...
Alexis's user avatar
  • 30.3k
36 votes
1 answer
42k views

Multiple comparisons on a mixed effects model

I am trying to analyse some data using a mixed effect model. The data I collected represent the weight of some young animals of different genotype over time. I am using the approach proposed here: ...
nico's user avatar
  • 4,601
35 votes
5 answers
3k views

Data "exploration" vs data "snooping"/"torturing"?

Many times I have come across informal warnings against "data snooping" (here's one amusing example), and I think I have an intuitive idea of roughly what that means, and why it may be a problem. On ...
kjo's user avatar
  • 1,967
33 votes
4 answers
15k views

Why don't Bayesian methods require multiple testing corrections?

Andrew Gelman wrote an extensive article on why Bayesian AB testing doesn't require multiple hypothesis correction: Why We (Usually) Don’t Have to Worry About Multiple Comparisons, 2012. I don't ...
user avatar
32 votes
3 answers
4k views

Why aren't multiple hypothesis corrections applied to all experiments since the dawn of time?

We know that we must apply Benjamini Hochberg-like corrections for multiple hypothesis testing to experiments based on a single data set, in order to control the false discovery rate, otherwise all ...
Kelvin's user avatar
  • 1,151
31 votes
6 answers
18k views

Variable selection procedure for binary classification

What are the variable/feature selection that you prefer for binary classification when there are many more variables/feature than observations in the learning set? The aim here is to discuss what is ...
31 votes
4 answers
15k views

Correcting p values for multiple tests where tests are correlated (genetics)

I have p values from a lot of tests and would like to know whether there is actually something significant after correcting for multiple testing. The complication: my tests are not independent. The ...
Stephan Kolassa's user avatar
30 votes
2 answers
28k views

What's the formula for the Benjamini-Hochberg adjusted p-value?

I understand the procedure and what it controls. So what's the formula for the adjusted p-value in the BH procedure for multiple comparisons? Just now I realized the original BH didn't produce ...
Firebug's user avatar
  • 19.5k

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