All Questions
Tagged with multiple-comparisons correlation
67
questions
2
votes
1
answer
69
views
Question regarding my multiple adjustment technique
I am computing several correlations tests using cor.test in R. Say I have $n$ distinct cities, and for each of these cities I have $4$ variables ($W$, $X$, $Y$, $Z$)...
- 21
1
vote
0
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51
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Pairwise correlation based on effect size values with missing values of some variables
I have data with seven variables and I want to calculate pairwise correlation (also the significance level of each correlation). The data I have is the effect size of a treatment on these seven ...
- 21
0
votes
0
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227
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Do i need to adjust p values in correlation matrix?
I recently computed pairwise correlations with a data set that consists of 1200 participants which all completed 5 questionnaires. So i computed 10 correlations ( each questionnaire with all other ...
- 51
1
vote
0
answers
27
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Multiple testing correction in two dimensions
During one of our studies, we tried to investigate if there is a correlation between compound toxicity and specific protein expression levels. Both were measured in a considerable number of cell lines....
- 111
0
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1
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124
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Appropriate way to adjust p values for multiple comparisons of unrelated domains?
Our dataset has 325 participants. Within each participant, we are looking at how 3 brain regions (ROIs) in each hemisphere (so right and left separately) are correlated with 10 cognitive domains. ...
- 329
0
votes
1
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806
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How do I use inferential statistics on Likert scale data?
I'm doing research for a class, and I'm collecting the following data:
The background questions are my independent variables and the survey questions are my dependent variables. For the latter, I'm ...
- 15
2
votes
1
answer
145
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Correlation of t-statistics for two correlated predictors in two simple linear regressions with common y
Say we run two simple linear regressions with common $y$ but different and correlated predictors $x_1, x_2$:
$$y = \beta_{01} + \beta_1 x_1 + \epsilon_1,$$
$$y = \beta_{02} + \beta_2 x_2 + \epsilon_2.$...
- 6,741
1
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0
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162
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Pairwise Welch’s Test for unequal variances and results generalization
I am looking for any suggestions regarding the direction of statistical analysis in the following problem.
Problem:
Let us assume $N$ independent subjects. At each subject I observe a variable let say ...
- 11
0
votes
0
answers
54
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Comparing ranking methods across multiple
I have a bunch of ranking algorithms that rank a collection of $k$ items. I have $n$ of these collections that I want to evaluate each algorithm on.
If I didn't have $n$ of these collections I would ...
- 101
0
votes
1
answer
70
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data dredging and multiple correlation coeficients
I conducted a study examining variables associated with cardiac disease. I conducted a Pearson correlation analysis examining the correlation between two sets of parameters, I did this for all ...
3
votes
0
answers
350
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Using Kendall's W or Kendall's Tau?
So I have a dataset of 5,000 observations annotated by two respondents each, which comes out to 10,000 unique annotations. In these 10,000 unique annotations, I had 600 unique respondents, with the ...
- 131
1
vote
0
answers
27
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Correcting correlation coefficient significance (p-value) for dependent samples within Monte Carlo analysis
I would like to perform hypothesis testing on the significance of the correlation coefficient (Pearson's correlation coefficient) between variable $a$ and variable $b$. I do not have access to such ...
- 11
0
votes
1
answer
127
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Hypothesis test of union of dependent hypothesis
I have dependent correlation coefficients $\rho_{AB},\,\rho_{AC}$, and $\rho_{AD}$ (with equal sample sizes for $\small{A,B,C,D}$).
I want to test whether $\rho_{AB}$ is neither equal to $\rho_{AC}$ ...
- 1
2
votes
1
answer
232
views
Multi test correction and hypothesis testing
I have 9 datasets with one predictor and one target attribute. For each of the dataset, I am testing for a single hypothesis - whether the attributes are associated. I have got the following based on ...
2
votes
1
answer
1k
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Comparing Kendall's Tau values
I have a single ordinal outcome called RATING, and a series of continuous covariates (P1, P2, P3, etc). I have used Kendall's Tau statistic to assess the concordance/correlation between RATING and ...
- 55