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1
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1answer
39 views

What is the distinction between “relationships” and “differences” (particularly in the context of group differences on a numeric attribute)?

What is the distinction between a relationship and a difference in the context of statistics - if you have a nominal variable and an interval variable, when should you use a correlation to measure the ...
0
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0answers
21 views

Measure the relation/association between the outcome and the independent variables

I am running a model (logistic regression) with 20 independent variables in R. Before running the model I calculated the correlation between all the variables and finally selected my variables by ...
0
votes
1answer
17 views

Quantifying the overlap in sort task results with cells < 5

We have data from two sort tasks where the same items (N=87) were assigned to different types of group ('g' & 'd'). We want to compare the overlap between the assignments to the 'g' groups (N=13) ...
2
votes
1answer
47 views

What is the optimal distance function for individuals when attributes are nominal?

I do not know which distance function between individuals to use in case of nominal attributes. I was reading some textbook and they suggest Simple Matching function but some books suggest that I ...
1
vote
1answer
85 views

Is ETA a good measure for computing the efect size between an ordinal and a nominal variable?

I have a nominal and an ordinal variable and I would like to look measure the association that is between the two. For now, I have done Chi-square test and non-parametric Kruskall-Wallis Test and I ...
2
votes
1answer
232 views

Ordinal trends and finding concordant discordant pairs

"A pair is concordant if the subject ranked higher on X also ranks higher on Y. The pair is discordant if the subject ranking higher on X ranks lower on Y. The pair is tied if the subjects have the ...
6
votes
1answer
237 views

Calculating Jaccard or other association coefficient for binary data using matrix multiplication

I want to know is their any possible way to calculate Jaccard coefficient using matrix multiplication. I used this code ...
2
votes
0answers
50 views

Appropriate threshold to map a similarity value to an edge in a graph

In order to cluster users given a user-item binary matrix data, I am planning to first find user's similarity (Jaccard) and then use graph theory to isolate clusters (communities). I need to map the ...
2
votes
2answers
67 views

Can feature selection be considered a way to observe relationship between variables like correlation?

In correlation we can observe relationship between a pair of variables, let me call it X1 and Y. Now, considering I have the predicting variables X1, X2, ..., Xn and the variable Y. Does the ...
0
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0answers
20 views

Correcting for potentially confounding phenotypes in arrayCGH data

I have been analysing a set of arrayCGH data from tumour samples. My output is a matrix of genomic regions and their call states (-1,0,1,2; representing losses, no-change, gains and amplifications in ...
12
votes
2answers
484 views

How do I test a nonlinear association?

For plot 1, I can test the association between x and y by doing a simple correlation. For plot 2, where the relationship is nonlinear yet there is a clear relation between x and y, how can I test ...
9
votes
2answers
1k views

Applicability of chi-square test if many cells have frequencies less than 5

To find association between peer's support (independent variable) and work satisfaction (dependent variable) I wish to apply chi-square test. Peer's support is categories in four groups according to ...
0
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0answers
72 views

How to assess association between sleep disorder and a given personality trait?

I want to know what statistic should be used to investigate whether there is or not a correlation between specific sleep disorder and a certain personality trait.
0
votes
1answer
134 views

Chi^2 test for 2x2-contingency table using probabilities instead of count data

I would like to perform a $\chi^2$ hypotheses test for association based on a $2 \times 2$ contingency table. However, my contingency table $\begin{tabular}{|c|c|} a & b \\ c & d ...
3
votes
2answers
205 views

How to calculate the correlation between smoking patients and heart attacks for each country?

I have a set of data on smoking patients and heart attack on different time points for 25 countries. How can I calculate the correlation between the smoking patients and heart attacks for each ...
3
votes
1answer
193 views

How do I get a $p$-value from the Cochran-Armitage trend test?

So, I'm working with GWAS SNP data and want to perform several tests for association between genotype and phenotype. There are two phenotypes (case and control) and 2 or three genotypes. Most of them ...
1
vote
1answer
205 views

How to decide between pearson, distance correlation or maximal information coefficient for currency data?

I have one dataset with currency exchange ratios for several years. The exchange ratios are for two Asiatic currencies and the Canadian dollar, all against American dollars. My (perhaps naïve) ...
3
votes
2answers
5k views

How do I study the “correlation” between a continuous variable and a categorical variable?

What's a meaningful "correlation" measure to study the relation between the such two types of variables? In R, how to do it? Thanks a lot!
1
vote
0answers
80 views

How to associate one predictor and 10 responses?

I have to test one predictor associate with 10 responses, the predictor is nominal, and response are continuous, so what kind of test can be used to test the association between them?
1
vote
0answers
70 views

Phi MOA, Chi-Square and Null Hypothesis, What can be learned?

In short, is there anything to be learned from performing a Phi measurement of association (MOA) on a Chi-Square test where it failed to reject the null hypothesis? $$\phi = \sqrt{\chi^2/N}$$ where ...
1
vote
0answers
90 views

How to compute effect size for different measures of association?

My colleagues and I are looking for guidance on how we might compute a common effect size (ES) from the following measures of association: Pearson's r Spearman's rho Kappa ICC / intraclass ...
2
votes
1answer
350 views

Association between 2 categorical data (using SPSS)

In a sample of 250 cardiac patients who have had a myocardial infarction and just left hospital, I asked them how important it was to them to know several issues, such as "How important is it for you ...
2
votes
1answer
474 views

Kendall's tau and independence

Kendall's tau is an association measure between two random variables, say $X$ and $Y$. If $X$ and $Y$ are independent, then $\tau = 0$. However, $\tau = 0$ does not imply independence because ...
1
vote
2answers
2k views

Correlation between dichotomous and continuous variable

I am trying to find the correlation between a dichotomous and a continuous variable. From my ground work on this I found that I have to use independent t-test and the precondition for it is that the ...
2
votes
1answer
287 views

How to combine many Goodman-Kruskal gamma measures?

I have 5 samples (from the same population). I want to calculate the Goodman-Kruskal gamma ($\gamma$) for the population, based on the gamma of the 5 samples ($G_i$). Each data has 2 ordinal ...
2
votes
1answer
59 views

Three-parts correlation or equivalent?

I'm wondering what's the usual way for detecting "three-parts" association between variables. I'm not even sure about the name, so I apologize for any misunderstandings beforehand. Here is what I ...
2
votes
1answer
204 views

Is goodness of fit needed for regression models when interpreted causally?

I'm investigating associations between socioeconomic factors and dichotomous outcome. I use generalised linear models (GLM) with log link for Bernoulli family, i.e., modelling the prevalence ratio. At ...
2
votes
3answers
635 views

Degrees of freedom for Chi-squared test

I am facing the following dilemma. I am aware of how to handle the one-sided Chi-distribution, but I am falling victim to how to handle degrees of freedom. Let me clarify with an example what I mean. ...
3
votes
4answers
1k views

Measure of association for 2x3 contingency table

I have a 2x3 contingency table - the row variable is a factor, the column variable is an ordered factor (ordinal level). I'd like to apply either symmetrical or asymmetrical association technique. ...
1
vote
1answer
315 views

What is the difference between independence.test in R and Cochrane and Armitage trend test?

What is the difference between independence.test in R and CATT (Cochrane and Armitage) tests? How these tests are calculated? Where do we and how do we define ...
3
votes
3answers
831 views

Can you use normal correlation for vectors with only 2 (or 3), ordered, levels?

When one wants to compute the correlation of two vectors of a continues variables, one uses pearson (or spearman) correlation. But what should (can) one use for the case of two vectors with 2 (or 3) ...
3
votes
4answers
1k views

Cross tabulation of two categorical variables: recommended techniques

I'm aware that this one is far from yes or no question, but I'd like to know which techniques do you prefer in categorical data analysis - i.e. cross tabulation with two categorical variables. I've ...