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3 votes
1 answer
759 views

Adjusting alpha for several models in which I am just using most variables to adjust

If I have a study in which I run four regression models, each containing 5 independent variables, this would result in 5*4 = 20 p-values. However, let's say the first variable is what I predict has an ...
Paze's user avatar
  • 2,331
1 vote
1 answer
66 views

P-value adjustment for different classes each tested individually

Testing the effect of a certain gene on survival of two different but somehow related (brain cancer GBM and LGG) patients, with each cancer (GBM or LGG) having several subtypes, how should I adjust ...
biofan's user avatar
  • 137
4 votes
1 answer
2k views

P-value correction for multiple testing using huge datasets

First of all I apologize without the question is very basic, I am taking my first steps in data science, statistics and bioinformatics. Data information We are evaluating the correlation (using the ...
Genarito's user avatar
  • 163
0 votes
1 answer
872 views

Not understanding adjusted p values with Holm's method. Highest value in series divided by 1

I'm finding an issue while adjusting p-values with Holm's method I cannot understand. It's not a problem in my actual data, but I would appreciate any help to understand the issue. To show the ...
Miguel Menéndez's user avatar
2 votes
0 answers
18 views

When do I have to correct for multiple comparison when computing different mutiple regression models?

I' ve got a problem with my thesis. I use a set of 3 bloodbiomarkers plus age as a covariate to predict Marker of Functional Connectivity on the one hand and Structural Connectivity on the other hand. ...
Hanne Schm's user avatar
0 votes
0 answers
37 views

Highly significant t-test statistics, any way to correct this?

I have been performing several paired t-test, where I test whether the sample means are different between two groups. For all of my tests (approx. 30), which all carries 13-14,000 observations, I ...
Philip's user avatar
  • 279
2 votes
1 answer
2k views

Significance of correlation with range restriction in x

Background Range restriction can happen in various study designs and it affects the results of bivariate correlation or in multiple regression, for example. In some cases the range restriction may be ...
user avatar
0 votes
1 answer
59 views

Is this a valid method to adjust for multiple testing?

Assuming I have 100 variables and I do a t-test for each of them without adjusting the p-values, and get 8 significant p-values out of the 100 tests. If my alpha is 5% can I just say that since I ...
Sebastian RT's user avatar
0 votes
0 answers
72 views

P value adjustments when subsetting dataframe

I'm analysing a dataset that contains different species. I first use the species ID as an independent variable but then I have to analyse the dataset separated for the different species (in total 3). ...
OnLeRo's user avatar
  • 63
2 votes
1 answer
48 views

Multiple hypothesis test

I have some questions about multiple hypothesis test. Situation 1: We have 1000 p-values, all of them are less than 0.0 5. We may say there are 50 false positive (1000*0.05) in these p-values. ...
lyu su's user avatar
  • 29
0 votes
0 answers
120 views

Should the Kaplan-Meier p-value be adjusted if new data are added?

The event of interest is subscription purchase and the time variable is days since the creation of the subscription trial within an AB Test. The stakeholders want to monitor the progress each day as ...
Murray's user avatar
  • 141
1 vote
3 answers
5k views

Bonfferroni correction of correlation p-values. What's my k?

I ran a series of Pearson correlations on my data and my supervisor told me to correct the p-values to account for the multiple comparisons I made. She told me to divide the p-value by the number of ...
Eileen's user avatar
  • 25
2 votes
0 answers
434 views

Adjusting P-Values of one-tailed tests

I am running a large number of two-sample Wilcox tests and using Benjamini, Hochberg, and Yekutieli method to adjust the p-values. The issue is that when I conduct a one-tailed test, the p-values ...
S.K.'s user avatar
  • 21
7 votes
1 answer
5k views

Over-represented values in FDR-adjusted p-values

I have a vector of p-values that need correcting for multiple comparisons; based on reading Noble (2009), I am attempting to apply a Benjamini-Hochberg FDR-based correction. My vector (sorted in ...
ecologysarah's user avatar
3 votes
1 answer
14k views

Bonferonni versus FDR

My question is rather simple: When should you use the Bonferroni correction over the FDR correction? I've read about that the Bonferroni correction applies a more conservative approach in comparison ...
Mark 's user avatar
  • 63
1 vote
0 answers
124 views

What should be proper p value cutoff point for multiple comparison case?

I have 4 conditions, (Control, Stim-1, Stim-2, Stim-3) and 9 different proteins expression levels in each conditions. The sample number of each protein expression level in each conditions are about ...
user2705000's user avatar
0 votes
0 answers
140 views

How to adjust p-value to reject null hypothesis from sample size in Mann Whitney U test?

I am trying to test if the shape and median of two samples are significantly different using Mann Whitney U test (or wilcox.test in R). The two samples (A and B), ...
msakya's user avatar
  • 111
2 votes
0 answers
130 views

Adjust p-values for multiple comparisons

I want to evaluate if a proposed modification M* to a base classifier M is better in terms of accuracy. Both, the base classifiers M and their respective modifications M* are tested on N datasets. To ...
Enrique's user avatar
  • 309
8 votes
2 answers
22k views

p-value correction for multiple t-tests?

My dataset consists of $n$ genes, each of them described by a vector of expression values, $5$ for "healthy" individuals, and $5$ for "unhealthy" individuals. I am going to run $n$ t-tests (one for ...
no_name's user avatar
  • 251
2 votes
2 answers
402 views

Does filtering of data by effect size violate some assumption of P value adjustment methods?

I have pre- and post-treatment continuous data for a large number of variables that I am analyzing for treatment effect. Normally I would obtain the P values and then adjust them for multiple testing ...
user4045's user avatar
  • 555
3 votes
2 answers
2k views

Adjusting a subset of P values to correct for multiple testing

I have a list of 300 $p$ values selected from all $p$ values obtained in multiple testing such that $p<.05$. I do not know the values of $p>.05$ or their number. The $p$ values are not corrected ...
user4045's user avatar
  • 555
0 votes
0 answers
1k views

Adjust p-values for variance inflation factors

I'm fitting linear mixed models and I have slightly inflated p-values due to multicollinearity. I deleted the factors with the highest VIFs until none of them was larger than 3. The VIFs tell me, ...
Frize's user avatar
  • 115