Questions tagged [association-measure]

Measures of the association between variables, a more general concept than correlation

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Market Basket Analysis - Interpretation of mirrored association rules

I have performed Market Basket Analysis on sales data, that comes from non-sequential receipts. I've read into the meaning of the different metrics, but there is one thing I don't understand. When ...
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Interpretation of GLM models with covariance

Interpretation of both GLM-models. How is cognitive function associated to PTSD symptom severity outcome over time between the two groups? Groups exists of treatment and control group. Because of a ...
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Multiple associations in Relative Risk and Odds Ratio

I am a frequent user of the package (epiR), especially in Relative Risk and Odds Ratio. Generally, I use several covariates to make the associations (RR or OR), for example: outcome (death) versus ...
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Is it necessary to transform a compositional predictor variable with Generalized Liner Models

I am reviewing an association study in which the primary analysis consists of using covariate-adjusted regression models to identify associations between microbiome taxon abundances and host ...
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Is there any reference justificating a P<0.10 as a cutoff for likelihood-ratio tests?

I am conducting log-likelihood-ratio tests to examine the goodness of fit of two competing logistic regression models. The test is the traditional log-likelihood-ratio test, in which I compare the ...
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In a chi-square test of association, what are the "dependent" variables?

The chi-square test of association is used to determine if there is an association between two categorical variables. In statistics, we call "dependent variable" a variable that is supposed ...
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Is it the correct practice to remove highly correlated features before association rules mining?

I want to use association rules mining on a dataset (Apriori algorithm or FP growth algorithm). Although my data is not market basket analysis, I'm treating each row similar to a market basket, with ...
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Is the correlation coefficient more than a measure of the tightness of fit? [duplicate]

or in other words, to what extent and under what conditions, the correlation coefficient can be indicative of what a regression slope signifies (in the case of a linear bivariate model)?
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Using logistic regression to determine the association between covariates and being in the treatment group

I want to determine if there is an association between my covariates (age, gender, bmi) and whether the person is in the treatment group or not. I ran logistic regression using each covariate in term ...
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no group difference but association

I'm having a discussion with a colleague. He states if there are no group differences for variable x and y, then it's no use to do an association between x and y across or within the groups. My view ...
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Investigating an association between zero-inflated count data with uneven sample sizes

There are two tests, Test A and Test B, that can be used to assess the accuracy of particular kinds of statements that are made in a certain subdiscipline of science. Simplifying a bit, these tests ...
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A formal definition of a "measure of association"

I've been trying to come up with a formal definition for a 'measure of association'. An intuitive definition might be something along the lines of 'a function that tells you about the existence or ...
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Is there a measure of association that is not a concave function of mutual information?

I'm reading Mutual Dependence: A Novel Method for Computing Dependencies Between Random Variables and I see in figure 2 and figure 3 that correlation, correlation distance, and mutual dependence are ...
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How to use the chi squared test (a biological investigation)

Imagine four habitats - A, B, C and D - set up in a choice chamber and two species of the same family, X and Y, 20 individuals of each. In a series of experiments, we put these species into the choice ...
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n-way contingency tables comparison

I have a dataset containing various methods of splitting data into two groups. The true partition is not known, and I want to compare how similar the respective methods of partitioning are to each ...
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Study association between continuous and categorical variables

I have independent continuous variables like Age, Price and outcome variable like purchased ...
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Correlation coefficient to use for data with non linear relationship

I am working with the following y = x^2 data type for my test studies ...
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How Do I detect window of X corresponding to Y (nonlinearly)?

I have two continuous variables that may have nonlinear relationship. The dataset contains multiple recordings of X, each corresponding to multiple recordings of Y. The exact matching is unknown. How ...
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Accuracy estimator for scan sample of categorical time series

Suppose we are tracking the behavior of some agent over time, and this agent can only exist in two states (+, -). This agent is only active for 20 timesteps, but we are only able to observe the agent ...
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on the use of R squared as a measure of predictive accuracy for non-parametric models such as random forest

I am confused. I know there are a couple of similar questions about $R^2$ but I hope I get some opinions on this particular matter. I have trained a random forest and other nonparametric regression ...
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Simulating an example of correlation attenuation due to measurement error

I'm trying to simulate an example of the attenuation of an association due to measurement error. According to the attenuation formula from classical test theory, the presence of measurement error ...
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Do multiple chi square tests between a set of variables violate the assumption of independence?

I have a dataset of 28 nominal and ordinal categorical variables, 161 observations. If I use chi sq tests of association between variables, for example I test var1 and var2, var1 and var3 and var1 and ...
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Alternative to Bonferroni Correction when performing multiple one-vs-rest association tests

My question anonymizes the 'nouns' of the question to protect my employer. It is not really about lab rats and experimental treatments. I am also coming more from a Machine Learning background, so my ...
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1 answer
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How to analyse association between two (paired) sets of measurements, when arbitrary to which set each member of a pair belongs

I have pairs of measurements and need advice to select a measure of association between the measurements. The special aspect that has me confused is the symmetry: there is no reason to allocate a ...
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Association between groups of features and outcome variable

I am working with a high-dimensional dataset (e.g., ~150 features) and possible confounders (e.g., ~10 features to control). The goal is to identify association with an outcome variable that is ...
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How do I apply spearman rank correlation on one continuous variables like sales data in and other discrete variable like Industries count?

I have a dataframe with total sales of around 500 product categories in each row. So there are 500 columns in my dataframe. I am trying to find the highest correlated category with my another dataset ...
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What is the test for association between 5 point likert scale and ordinal variable? [duplicate]

Note the likert scale is very satisfied 2.satisfied Don't know Unsatisfied 5.very unsatisfied And the ordinal variable is anxiety: 1.normal 2.mild 3.moderate 4.severe
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Regression for prediction versus understanding independent associations

I see that regression is used for 2 main purposes: To develop a predictive model for future use To understand associations. Specifically, to know which of the predictors have an "independent ...
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What method to use to determine the association between multiple choice question in a questionnaire and continuous value outcome

I have data from a questionnaire to determine the level of diabetic foot care knowledge (DFCK) among undergraduate Podiatry students. The DFCK (i.e. outcome) is a score based on the total number of ...
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How to test if con-infection between microbes is correlated?

I am analyzing the results from a diagnostic test that looks for the presence of micro-organisms in humans. In some cases, there is only one microbe but in others, there are multiple infections. What ...
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Visually, how strong would you rate the association between this nominal predictor variable and continuous response variable?

I've yet to find an easy-to-understand and easy-to-implement way to statistically model the strength of association between nominal data and continuous data. So I'm trying to get a rough idea visually ...
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2 votes
1 answer
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How can I compare the predictive power or association of two variables of different nature?

I am dealing with the following problem: We have 3 variables: A continuous variable (0 to 1), that is a scoring for people. A discrete variable, offered by a partner, in the range 1..10. That is also ...
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Bivariate copula for count and continuous variables?

I'm interested in fit a Copula from my bivariate data with a count variable $Y_{i}$ and a continuous one $X_{i}$. So, let $F(x)$ and $G(x)$ be the margins for the mentioned variables and $C$ the ...
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Interpretable Measure of Association between a dichotomous variable and a variable with more than two ordered categories

What measure of association including a positive or negative sign can be used to evaluate the association between a dichotomous variable (i.e. YES, NO) and a categorical ordinal variable (ie. A lot, ...
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Relationship between categorical variable (depression) and a continuous variable

I appreciate this question is quite simple to ask but I want to make sure I direct myself in the right direction. I want to test the association between a continuous variable (BMI) and a categorical ...
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Large difference in contingency table level affecting Cramer's V?

The Wikipedia article for Cramer's V states the following without citation: Note that as chi-squared values tend to increase with the number of cells, the greater the difference between r (rows) ...
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How do i compare ordinal score across two or more categories? [duplicate]

I have an ordinal score ranging from ( 1 to 5 ) called "Score" I have another binary variable Human Response (Yes or No ) called "h_score" I don't think i can do correlation study in this case as ...
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Interpretation of discrepancy between prop.test and pairwise.prop.test results

My aim is to find out if infection state (pos / neg) is associated with the group of patients (A, B or C). For this analysis I have followed suggestion from How to analyze $ 2\times n$ contingency ...
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1 answer
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What's the added value of SD line over regression line when examining association between 2 variables?

I'm trying to incorporate different practices to use when exploring a new data set. Especially, how to examine the association between two variables. Steps for example (not necessarily by order): ...
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A bit confused on p values on ttest in Stata output

In Stata the output of a ttest shows p values as: Pr(T<t), Pr(|T|>|t|) and Pr(T>t) I understand the two sides to be the tails of the test and the middle ...
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When to use Theil's U and Cramer's V, the danger of symmetrical data?

As I understand, Cramer's V method of counting correlation between categorical variables may find correlations between symmetrical data. I searched a ton of sites, but the only thing I found was that ...
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2 votes
1 answer
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Using scatterplot before running a controlled experiment to test causality

This question is an extension of awesome thread Does causation imply correlation?. As an example, let's say that I am running an online experiment on Stackoverflow to see whether asking more ...
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Finding an association between two methods of medical intervention and a continuous variable [duplicate]

I have here with me, two methods of intervention; a standard care method, and a specialised intervention. Different individuals receive different method, its all randomly allocated. I am trying to ...
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Getting descriptive stats and measures of association when some people have multiple measurements?

I have an observational study data set where some people have one measurement and some have 2 or 3. I don't care about the order of the measurements, nor longitudinal trend. I just want to get results ...
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Describe the graphs linear association between these two variables height and width

I have written the code below to create a scatterplot to visualize whether the two variables are linearly associated but I am not sure how you would describe this output. I would say it is not ...
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A name for the "correlation" of three variables?

I have three signals and I want to get some measure of the 'linear together-ness' between them. If they are all high or all low at the same time, that is good; if two are high and one is low that's ...
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If the datapoint furthest from the y‐axis was excluded, what would happen to the associations seen?

looking at the Figure below, what would happen to the association if the datapoint furtherst from the y-axis was excluded? Current linear association indicates: Diabetes prev = -0.0171183 x BT ...
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1 answer
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Why do signs of association change in multilevel logistic regression?

In given data, the outcome of interest is a binary variable (who participated in the program? yes/no). Additionally, individuals are nested within districts that create correlated binary data. I've ...
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The relation between copula and survival copula [duplicate]

There are two relations connect between copula distribution function and copula survival function I got confused between them $¯C(u,v)= u + v -1 + C(1-u,1-v)$ $C(u,v)= 1 - ¯C(1-u) - ¯C(1-v) + ¯C(1-u,...
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2 answers
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How can I analyse the association between a categorical variable (binary outcome) and a continous variable especially in R?

I want to analyze the association between a binary variable and a continuous variable in R. But I am not clear about what steps I should follow. I explored the continuous variable by the histogram ...
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