The bonferroni tag has no wiki summary.
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Families for Bonferroni correction
Suppose I have 6 groups of mean: A, B, C, D, E and F. I compare A, B and C as a family with a Bonferroni test, then D, E and F as a separate family and a separate test.
Now what if I then also want ...
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1answer
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Question regarding Bonferroni correction
Prove the following version of the Bonferroni inequality-
$$P\left(\bigcap_{i=1}^kA_i\right)\ge1-\sum_{i=1}^kP(A_i^c)$$
When creating simultaneous confidence interval, what are $A_i$ and $A_i^c$?
...
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1answer
320 views
Two questions about Bonferroni adjustment
I have two questions about Bonferroni adjustments:
1). Can one use the Bonferroni method to compare independent groups? The reason why I ask this is it seems that many examples I've encountered ...
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1answer
104 views
Determining number of tests to correct for using Bonferroni
I am doing final revisions to my dissertation, which includes a large number of regressions. I have six outcome variables (DVs) and I am testing the effect of four primary (correlated) IVs, but I am ...
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Is this a valid method to control the FWER?
I have a huge number, say $M$, of hypotheses that are potentially correlated. I have a dataset $D$ of random samples from an unknown distribution and I want to do test the hypotheses for significance ...
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SPSS Anova mixed between-within subjects. Which is the correct way to compare main effects?
I counducted a mixed model ANOVA with time as the within subjects variable (3 levels) and group as the between subjects variable (2 levels). All is significant (time, group, and timeXgroup).
I don't ...
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2answers
454 views
Anova repeated measures is significant, but all the multiple comparisons with Bonferroni correction are not?
I counducted a mixed model ANOVA with time as the within subjects variable (3 levels) and group as the between subjects variable (2 levels).
All is significant (time, group, and timeXgroup).
To test ...
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2answers
1k views
Post hoc test in a 2x3 mixed design ANOVA using SPSS?
I have two groups of 10 participants who were assessed three times during an experiment. To test for differences between groups and across the three assessments, I ran a 2x3 mixed design ANOVA with ...
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Non parameteric tests for 2*2 mixed design
I have 2*2 mixed design, where the two factors are time and group. The time levels are pre- and post-intervention, and the group levels are control and intervention.
If I were using a parameteric ...
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1answer
138 views
Strict Bonferroni - looking for p value
I run 18 exploratory regressions and would like to know what the strict Bonferroni p-value would be.
Nine regressions are negative binomial regressions with 4 predictor variables, the other 9 are WLS ...
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Bonferroni post hoc test does not reveal significant differences between groups [duplicate]
Possible Duplicate:
How can I get a significant overall ANOVA but no significant pairwise differences with Tukey's procedure?
I used a repeated measures ANOVA for my dissertation, with ...
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0answers
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Best way to go about correcting for multiple comparisons (or should one even) for a small dataset?
Disclaimer: I have a very minimal stats background and am just getting into this stuff. Corrections to any terminology I use or an improved rephrasing would be super appreciated.
I have a simple ...
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262 views
Bonferroni correction in generalised linear model
I am running a generalised linear model in R. I have a single response variable and a maximum of 4 possible explanatory variables. I am adding each explanatory variable to the model sequentially, ...
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1answer
537 views
Permutation tests in R for correlations
What's the easiest way to run permutation tests for a bivariate Pearson correlation matrix in R?
I have tried running MPT.Corr, Multivariate Permutation Test
for Correlations by Urbano Blackford et ...
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2answers
1k views
Bonferroni and Greenhouse-Geisser corrections with repeated-measures ANOVA
I guess my question comes in two parts:
Following a 1x7 repeated-measures ANOVA, I carried out 3 pre-planned tests. Two were t-tests between 2 of the conditions. The third is a 1x6 ANOVA (to test ...
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0answers
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Multiple comparisons process using Kruskal-Wallis, G-Test and corrections
I want to know if changing a button color has a positive effect on different measures (see the 4 measures below), using the following process:
There's a default button, which is the fixed control ...
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3answers
3k views
Sidak or Bonferroni?
I am using a generalized linear model in SPSS to look at the differences in average number of caterpillars (non-normal, using Tweedie distribution) on 16 different species of plants.
I want to run ...
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Fisher's Exact Test and large tables with pairwise
I found that it is possible to look at adjusted residuals and treat them as a z-score and then use a two-tailed test to find a p-value. The problem is how do you calculate adjusted residuals on what I ...
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1answer
308 views
Sample-size calculations for Benjamini-Hochberg, Westfall-Young, Holm-Bonferroni methods
I'm currently setting up an experiment where we might want to do multiple comparisons (i.e. comparing several treatments with a control at the same time). It is pretty straightforward to calculate the ...
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1answer
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What is the basis for adjusting critical values in multiple t-tests?
Let's say I have three samples: control, A, and B. (I am assuming basic things about sampling like no bias, no confounding factors, and independence in selecting samples.)
I want to see if there is a ...
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1answer
315 views
What type of error correction do I have to use after Wilcoxon matched pairs test?
Do I have to use Bonferroni's or Holm's corrections?
Please see this previous question for my example data and the design. (Shortly, I have three or more dependent groups.)
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2answers
1k views
Repeated measures ANOVA in R and Bonferroni adjusted intervals
If somebody can tell me what R commands I need to use for a repeated measures ANOVA, I'd really appreciate it. I have trouble with the random term. I've seen ...
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Maximum number of independent variables that can be entered into a multiple regression equation
What is the limit to the number of independent variables one may enter in a multiple regression equation? I have 10 predictors that I would like to examine in terms of their relative contribution to ...
