All Questions
Tagged with multiple-comparisons confidence-interval
43
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False Discovery Rate-Adjusted Multiple Confidence Intervals after p-value-adjustment
I apologize in advance if my question is incomprehensible, I am very new to this topic.
My data consists of 6 dependent variables (DV1-6) and 5 independent variables (IV1-5) of interest. For reasons ...
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6
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2
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159
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Adjusting confidence intervals for the experimentwise error rate across multiple models
I often get reviewers asking me to correct my results for multiple comparisons. It's quite straightforward to adjust both p-values and confidence intervals within models, i.e. via adjusting the ...
- 2,043
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182
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83.4% confidence intervals for parameter estimates other than means?
I've seen some discussion of using a 83.4% confidence interval to compare two parameter estimates, so that non-overlapping confidence intervals correspond to a statistical difference between these ...
- 11.5k
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197
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Bonferroni correction, alpha and C.I [closed]
For multiple comparisons, Bonferroni corrections are made. Depending on the number of pairs of comparisons, the level of significance is adjusted. For instance, for 4 pairs of comparisons at 95% C.I., ...
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How to find how big is the difference between three groups with 95% confidence interval [closed]
I have three treatment groups and one score variable (dependent variable) and the data is not normal. Hence, I performed the Kruskal Wallis test to find the hypothesis. The result is there is a ...
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1k
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Emmeans and 95% confidence intervals for linear mixed models (two center study)
I am having problems estimating emmeans and 95% CI per group with linear mixed models.
I have put my questions at the end of my post.
In short, I want to compare a continuous outcome between 7 groups ...
- 1
0
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2
answers
545
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How do I correct for multiple testing when I have multiple models?
I have 12 concentrations that I would like to compare between 2 groups, some subjects have 2 measures. I know the concentration is also depending on age and sex so I added those to the linear model ...
- 339
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56
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Prediction and Confidence intervals and overall error probability estimation
I wanted to understand difference between Prediction and Confidence intervals and found an ...
- 439
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320
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Sigmoid confidence curves in logistic regression
I have a logistic regression model that predicts the probability of an outcome based on one input variable. I am able to plot the curve just fine and show my group how the probability is predicted to ...
- 65k
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968
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How to adjust (bootstrapped) confidence intervals for multiple testing in R?
I am comparing effects of different resources by comparing slopes implemented by interaction terms in (generalized) linear mixed effects models e.g. with a negative binomial distribution and a log-...
- 1,019
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1
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2k
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Multiple comparison correction for confidence interval
I am trying to understand multiple-comparisons adjustment for confidence intervals. I came across the following links on the topic, but a few things are not clear to me.
Stanford lecture: Section 2 ...
- 113
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42
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Confidence interval for a binomial proportion when the number of trials is uncertain?
Hopefully a simple question; here's the setup:
I'm trying to estimate the prevalence of a medical condition in a specific population.
The size of the population(s) of interest is itself uncertain.
I ...
- 451
3
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1
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482
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Non-significant ANOVA interaction term despite 95% confidence intervals not overlapping
I plotted the means and 95% confidence intervals for survival data with the paired bars corresponding to 2 different study sites that each contain two experimental treatments (white = low shelter, ...
- 167
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0
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487
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How do you compute the confidence interval for the product of two separate A/B tests?
I am trying to find the confidence interval of the end result of two A/B tests.
As an example, lets assume that for test 1 I am looking at the click-through rate of a page and have a control and ...
- 65
2
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1
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87
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Confidence interval for changes
I have $3$ groups of patients: baseline, test 1 and test 2. Their sample sizes are $N_0, N_1, N_2$, respectively. The number of observed positive patients are $n_0, n_1, n_2$, respectively. I want to ...
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