All Questions
Tagged with multiple-comparisons regression
116
questions
2
votes
2
answers
44
views
Bonferroni correction necessary? regression to predict ONE outcome
I am working on a project with a small sample size where I have multiple predictors at baseline and one IV. I am trying to see if any of the DVs are good predictors for the score on the IV (continuous)...
- 21
1
vote
1
answer
34
views
Mixed Effects with repeated measures design and covariate included
I have a dataset that consists of the oxygen consumption (MO2) values for 3 different species of fish. My experiment was a repeated measures design where I measured MO2 of the same 14 fish per species ...
- 31
3
votes
1
answer
53
views
Identical SE values for different groups using emtrends
I'm using emtrends to extract slopes and do pairwise comparisons between the groups of my independent variable, controlled for the other variables in the model. ...
- 131
0
votes
0
answers
21
views
Multiple comparison tests when removing the intercept?
I have a set of 13 different dependent variables, all tested against 9 independent variables. Here's a simplified example of the tests I'm running using R syntax:
...
- 111
1
vote
0
answers
30
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When assessing significance of identification variables (e.g., race) after applying a regression model, is it correct to use a Bonferroni adjustment?
I am building a regression model to assess whether being a member of any particular race (compared to the control group, which is White) is associated with a statistically significant loan application ...
- 807
0
votes
0
answers
15
views
Mixing MLE and Hypothesis Testing
In my field of biology, we have spatial data with known distances, so we know a general formula for our error structure that we can use in a generalized least squares context, it is
$$
(1-\lambda)\...
- 385
1
vote
0
answers
71
views
Statistical significance of hierarchical (multi-level) associations
Association rule mining is a common technique in Data mining used to find itemsets which appear together very frequently in large transaction databases (e.g. in Table 3 we see that in a transactions ...
2
votes
1
answer
94
views
Am I using emmeans correctly to look at pairwise differences after running a type III ANOVA model?
I am looking at how the weight of female individuals is influenced by the two factors A (5 levels) and B (2 levels) using a type III ANOVA as follows:
...
- 441
1
vote
0
answers
33
views
Possible to estimate random effects of a two-level factor? [closed]
I want to conduct a two-way ANOVA with a mixed effect model using lme4. The trial detail is Factor A with 3 levels and Factor B with two levels (3x2) replicated on ...
- 11
3
votes
1
answer
39
views
How appropriate is this logistic regression analysis?
I am reviewing this study where they measured fathers' stress, anxiety and depression levels at four-time points. And they measured the child's behavioural problems only at the last time. They then ...
- 43
0
votes
0
answers
34
views
Is it necessary to perform correction on confidence intervals of some specific coefficients of different models on same dataset?
I have a dataset which is about daily death rate of a specific disease and meteorological data:
The dataset structure is as below:
data =
Death count
Daily pm2.5 (lag 0)
Daily pm2.5 (lag 1)
Daily pm2....
- 250
0
votes
0
answers
42
views
Comparing significance of categorical levels in logistic regression
I'm running a logistic regression on some data that has a binary outcome and several input variables, one of which is categorical with 5 levels. I'm using one of these levels as the reference, and so ...
- 47
2
votes
1
answer
54
views
Including Covariate P-Values in Multiple Comparison Corrections"
I'm currently working on a statistical analysis involving multiple comparisons and I'm uncertain about a specific aspect of the process. Specifically, my question is about the inclusion of p-values ...
- 53
1
vote
1
answer
62
views
Post-hoc analysis for Tobit model using Censreg in R
I have a blood biomarker (BHB) in my dataset with censored distribution (i.e., lower detection limit of 96). I want to use Tobit regression with the Censreg package in R. My objective is to see if ...
- 179
3
votes
1
answer
195
views
Perform the multiple comparisons after controlling other covariates
To describe this issue, we consider the following 2 models:
m1 <- lm(disp ~ drat, mtcars)
m2 <- lm(disp ~ drat + factor(cyl), mtcars)
...
- 83