All Questions
Tagged with random-allocation regression
13 questions
0
votes
1
answer
97
views
Design of experiment in multiple regression
Suppose we have the following model of our environment:
$\hat{y}_t = e^{dayofweekeffect} * x_{1, t}^{\beta_0} * x_{2, t}^{\beta_1}$
which we can linearize into: $log(\hat{y}_t)= dayofweekeffect + \...
- 3
1
vote
0
answers
22
views
Causal identification when some ITEs are 0
Say I have some data from an RCT related to a skills training program. The data are such that:
Marginally randomized binary treatment z. Those with ...
- 47
4
votes
2
answers
383
views
Using PCA to combine variables in a randomized trial with a baseline and a follow-up measurement
Assume that $2n$ participants have several variables measured at two times points $t_1$ (baseline) and $t_2$ (follow-up). For illustrative purposes, I will use the example of just two variables: the ...
- 31.2k
3
votes
1
answer
304
views
Analysing stratified random sample
Let's say I am analysing an experimental design with treatment and control group which was based on random sampling design stratified on a number of covariates. When analysing the data I see two ...
- 363
3
votes
2
answers
233
views
What has to be true of controls (main effects and interactions) for them to be included in experimental analysis?
Consider a simple cross-sectional regression model,
$$y = \alpha + \beta \cdot T + \gamma \cdot x + \delta \cdot x \times T + \varepsilon,$$
where $T$ is a binary randomized treatment indicator, and ...
- 38.3k
3
votes
1
answer
145
views
Analysing an RCT with many zeros in outcome
I have a RCT to analyse – my outcome is number of days late (20 days late being the maximum). The majority of people are not late, so there are a lot of zeros in the dataset. I’m expecting that the ...
- 33
0
votes
1
answer
141
views
Optimal statistical method in an RCT
stackexchange.
I am doing a project, where I have conducted a randomised controlled trial. I test if I can get the same results of an already published paper, but in another setting. In my created ...
- 21
2
votes
1
answer
110
views
Creating hypothetical logistic regression models for sequential covariate adaptive randomization
I'm about to run a clinical trial and I would like to allocate participants to the active treatment group versus the control group while avoiding imbalances in baseline chracteristics or prognostic ...
- 347
1
vote
0
answers
17
views
Creating controlled trials with overlapping uncorrelated conditions
Let's say I have a set of students, and a set of learning materials for an upcoming test. My goal is to run an experiment to see which learning materials are correlated with better scores on the test ...
- 111
3
votes
2
answers
2k
views
Linear regression and causality in a randomized controlled experiment
We know that a linear regression Y on X doesn't imply causation X->Y. It just means that Y is dependant on X in this model. For example, in a general case, I cannot simply run a regression of Test ...
- 115
6
votes
1
answer
133
views
When is there a point for using regression with controls to analyze experimental data?
Many randomized controlled trials in economics (and probably other sciences as well?) use regressions to analyze data obtained from experiments. In the simplest setup with binary treatment, assuming a ...
- 267
3
votes
3
answers
740
views
Adjust for covariables even in randomized experiments?
Randomization does not guarantee balance in an experiment. Balance is the prerequisite for causality, so theres a potential for using regression adjustment in randomized experiments. This is somewhat ...
- 2,403
5
votes
1
answer
258
views
Analysis of randomized experiments
I have data from an experiment in which participants were randomly assigned to one of two groups and asked a series of opinion questions. One group, the control, was not presented with any additional ...
- 465