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Questions tagged [interaction]

A situation where the effect of an explanatory variable may depend on the value of another explanatory variable.

3 votes
1 answer
24 views

I am using Ordinal Semiparametric Regression (Frank Harrell's rms package) to model overall survival in patients with brain tumor. My training data is from the SEER database (covering years 2004 to ...
Çağan Kaplan's user avatar
7 votes
2 answers
275 views

I have fit interaction models of the form: phenotype ~ genotype * environment, based on theory. I am assigning environment (GFR, in this case) as the moderator. I have three scenarios: A: Non-parallel ...
Mubita 's user avatar
  • 191
4 votes
1 answer
56 views

I'm using R but this is fundamentally a conceptual/statistics question so I'm posting here (apologies if it's not suitable and I will delete/repost to Stack ...
dalexco's user avatar
  • 43
0 votes
0 answers
55 views

Can compositional data (seagrass % cover of multiple species - each value is mean of 10 1m^2 area per site) be used in an interaction term like this (and are GAMs somehow better equipped to handle ...
Nate's user avatar
  • 2,631
5 votes
1 answer
179 views

I have been struggling with explaining and understanding the impact of collider bias from intuitive standpoint particularly when using a post randomization variable as a moderator in a longitudinal ...
Vefeagins's user avatar
  • 1,126
4 votes
2 answers
127 views

I am running a 4-group vignette study: Control, Condition A, Condition B, and Comorbid A+B. I chose this design because A+B is common in real life, and I wanted to test whether the comorbid ...
smiling treats's user avatar
2 votes
0 answers
29 views

In time series, is it possible to have an interaction between an AR and a MA term? For example an ARMA(1,1) model: Standard (without interaction): y_t = A * y_{t-1} + B * e_{t-1} + e_t With ...
user avatar
2 votes
1 answer
83 views

The Problem The same path (Platform Interactivity → Trust) shows completely opposite results: In SEM (controlling for all predictors): Coefficient: β = -0.035 Significance: p = 0.380 (not significant)...
XIAOWANG TIAN's user avatar
1 vote
0 answers
26 views

I am looking for predictors of subjective impairment (questionnaire with score from 0-40) in a cohort of ~300 patients. Each of the patients have 1-7 visits over the last few years at fixed intervals. ...
Hank Lin's user avatar
  • 549
5 votes
1 answer
79 views

Using GAMs to model a longitudinal repeated measure outcome has been reviewed here and here. However, I have not found an answer for how to calculate pvalues for testing the ...
jarbet's user avatar
  • 1,005
5 votes
4 answers
278 views

20 people are divided into two groups (between subject variable) - 12 and 8 members in each. Each person is measured under 3 conditions (within subject variable). I am using means model ...
sitems's user avatar
  • 4,030
3 votes
2 answers
180 views

I have been experimenting with brms over the past few days, and there is something I can’t quite figure out concerning the approach with logistic regression and log-odds to probability transformations....
Nee's user avatar
  • 41
2 votes
1 answer
49 views

I have been investigating how the CART algorithm (specifically scikit-learn's implementation) handles interaction terms like the XOR problem. I’ve noticed a behavior where adding noise in the form of ...
Giulio Lanza's user avatar
6 votes
1 answer
106 views

I am currently writing my bachelor’s thesis and have only a limited background in statistics. I have four groups with four observations each, except for one group which contains only three ...
Faith's user avatar
  • 415
4 votes
1 answer
415 views

I have a continuous independent variable which ranges from -5 to 5, and a continuous dependent variable which was measured with a Likert Scale ranging from 1 to 7. My main effect with just these two ...
Drummer7634's user avatar

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