Linked Questions
16 questions linked to/from What is the correct way to test for significant differences between coefficients?
0
votes
0
answers
11
views
Can [single] Linear Regression be inferred from Multiple Regression? [duplicate]
A student posed a question: she has observations from two, independent groups for variables Y and X. She drops them on a ...
13
votes
2
answers
9k
views
How to test whether a regression coefficient is moderated by a grouping variable?
I have a regression done on two groups of the sample based on a moderating variable (say gender). I'm doing a simple test for the moderating effect by checking whether the significance of the ...
- 233
7
votes
2
answers
2k
views
Difference between temporal trends
I have a dataset with observations form a population that have been described graphically as an annual trend. For example – male infection rate per year, female infection rate per year.
The ...
- 371
6
votes
1
answer
2k
views
ordinal regression or Spearman correlation?
I am conducting research investigating two different groups of women: one group of Short-Stature Women (SSW) and another with Non-Short Women (NSW). We have the hypothesis that SSW has an inaccurate ...
- 63
4
votes
1
answer
1k
views
What is the difference between a linear regression with a dummy variable and two separate regressions for each group?
I am interested in the connection between a multiple linear regression including a dummy variable (0/1) and two separated regressions split up by this dummy variable, i.e. two distinct regressions for ...
- 316
6
votes
1
answer
342
views
Moderated regression and separate models give slightly different results
When I run a regression with an interaction term (composed of one continuous variable and one binary variable) and several covariates, I get an interaction term value of -6.52. However, when I run two ...
- 365
2
votes
3
answers
1k
views
How to perform linear regression on clusters of data
Suppose I have 2 clusters of data: $\{(Y_{1i}, X_{1i})\}_{i=1}^{n_1}$ and $\{(Y_{2i}, X_{2i})\}_{i=1}^{n_2}$, and I'm interested in running a simple linear regression on each cluster.
I assume that
$$...
- 2,673
0
votes
0
answers
989
views
Alternative to Chow test for equality of estimates, when the data for the 1st group is not available
My goal is to compare published regression weights estimated from a sample in another country, with those of the same model established on our data.There is ample evidence on the web that a Chow test ...
- 143
1
vote
1
answer
716
views
Standard error of reconstructed slopes (coxph/coxme)
I have performed mixed effect Cox hazard regressions, and reconstructed the slopes to get group specific slopes (e.g. sex-specific responses to the explanatory variable). I aim to test whether the ...
- 892
3
votes
1
answer
696
views
significant difference between coefficients
What is the correct way to test for significant differences in parameter estimates in the following case:
I have a dependent variable (height for age) and a independent variable (household state ...
- 450
5
votes
1
answer
252
views
How to prove that a separate linear model for each class is equivalent to using interaction with the class?
I learned in this question's comment by @amoeba that
Also, the difference between "building separate models" and "using categorical variable" is not clear to me. ...
- 37.2k
0
votes
1
answer
295
views
How to test if the difference in the value of the coefficient of X is different between subgroups in R?
I have a simple linear model (earnings ~ age), and I want to test if the coefficient on age is significantly different for separate subgroups in my data (those with a bachelor's degree, and those ...
jfkfc
1
vote
1
answer
173
views
Performing t-test for coefficients using bootstrap
I am having some difficulties reconciling a test for the difference in means using a standard test and the bootstrap. It would be great if someone could tell me what is going wrong in the code.
I run ...
- 33
4
votes
1
answer
155
views
Pros and cons of different methods for comparing betas in regression
In my line of work, we often hypothesize that one continuous predictor will have a stronger relationship with some outcome than another closely related (i.e., collinear) continuous predictor. We fit a ...
- 193
0
votes
1
answer
139
views
Test whether effect in one model is significantly higher than effect in other model
I have two models: one predicting the sales for a cheap product and another predicting the sales of a more expensive product (both of the same company). Let us say that both models look like this:
<...
- 131