Linked Questions

3 votes
0 answers
177 views

Methods for meta-analysis: z-transform (Stouffer's approach) vs. Fisher's method vs.... infinite others? [duplicate]

Fisher's method and Stouffer's approach (z-transform) for meta-analysis roughly follow the same scheme: take the p-values from some different experiments on the same hypotheses apply to them some ...
Pietro Battiston's user avatar
24 votes
4 answers
11k views

Stouffer's Z-score method: what if we sum $z^2$ instead of $z$?

I am performing $N$ independent statistical tests with the same null hypothesis, and would like to combine the results into one $p$-value. It seems that there are two "accepted" methods: Fisher's ...
amoeba's user avatar
  • 107k
14 votes
3 answers
16k views

R package for combining p-values using Fisher's or Stouffer's method

Is there an R package (or even a base R function) that implements Fisher's or Stouffer's method for combining p-values? Coding this should be almost trivial, but I'd rather use (and cite) a package. ...
krlmlr's user avatar
  • 789
7 votes
1 answer
3k views

Is it valid to take a mean of p-values during cross-validation, when comparing the predicted output of a model to the actual output? [closed]

I am doing a cross-validation study, training a model on an input to predict a target. During training, my model generates an output vector that is guaranteed to be the same size as the corresponding ...
Grittathh's user avatar
2 votes
1 answer
1k views

Bonferroni-type corrections and Fisher Method Meta-analysis

I'm not an expert on the field, but I need to know more about how to combined multiple significance test p-values after a two sample Kolmogorov Smirnov (KS)test on two distributions. But I have two ...
FabIO's user avatar
  • 23
4 votes
4 answers
171 views

Why do we work with factor of likelihoods instead of e.g. a sum for a batch in the negative log likelihood loss function?

In a classification task, at a certain stage of the training process, we get a likelihood of sampling proper class Y for a particular data point X. For batch, we get many independent likelihoods. Let'...
Maciek Gruszczyński's user avatar
2 votes
1 answer
565 views

Difference between Fisher's method and the sum of chi-square test statistics

I'm learning about combining $p$-values and I have a couple of (somewhat elementary, perhaps) questions. Suppose I have $n$ independent tests, each of these to test its own null hypothesis $H_0 (i)$, $...
Cromack's user avatar
  • 317
1 vote
1 answer
627 views

Testing multiple comparisons of paired proportions

I want to know if a proportion increased significantly after an event, and then find out if that holds true over multiple events. I'm using a paired t-test to measure this with continuous data (e.g. ...
J. Krauel's user avatar
1 vote
1 answer
527 views

Use p-values to weight correlations before combining them

I have a correlation between two dimensions $A$ and $B$, each dimension has 1 variable $i$ with $j$ samples. $A_i$ and $B_i$ (Let's call it $r_{Di}$). I also have a correlation of $A_i$ with another ...
llrs's user avatar
  • 595
2 votes
1 answer
147 views

p-Value of mean of sample means

I suspect this question is related to: When combining p-values, why not just averaging? Let me explain my problem: Suppose you have a set of sample means and associated p-values, standard errors ...
Pam's user avatar
  • 123
1 vote
0 answers
51 views

Test for change in all observerd variables

Let us say, I observe 3 variables in a control condition and a treatment condition. I would like to find out whether the treatment has some effect on all 3 variables at the same time. I should mention ...
Fabian Rost's user avatar