All Questions
Tagged with propensity-scores statistical-significance
9 questions
2
votes
1
answer
30
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Propensity matching affects significance of polynomial degrees differently
I have a regression as follows:
$$ y = \alpha + \mu L + \beta_1 x + \beta_2 x^2 + \varepsilon $$
where L is a dummy, and x is a control variable.
Both $x$ and $x^2$ are significant when I run the ...
- 179
1
vote
0
answers
21
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How to Evaluate Interaction Effects in Propensity Score-Matched Samples:
Suppose I want to study the association between an exposure X and outcome Y, and I have used the propensity score to match each exposed subject with those unexposed but with similar characteristics ...
- 347
0
votes
0
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36
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Too many statistically significant results with propensity score weighting
I'm currently performing a drug-wide associatinon study (DWAS) in a population-based cohort, in which I'm iterating over commonly used drugs to assess whether they have an association with my outcome ...
- 1
1
vote
0
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28
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How reliable is conclusion drawn out from a known data?
Most of time conducting experiment is expensive. Suppose I and my collaborator decided to use a known databank(NHANE, NCI's data) to do some digging with some untested hypothesis given. Most of time ...
- 1,465
2
votes
1
answer
675
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Propensity Score Matching with Covariates pre-treatment
I am applying a propensity score matching on R using the package Matchit.
I read that to match the observations, you should take the covariates and balance them. However, only pre-treatment ...
- 143
2
votes
1
answer
12k
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Propensity score matching in difference-in-differences
I have a data set in which I have treatment, event, and treatment*event vectors, along with other variable vectors that I have computed.
I ran my regressions and find my coefficients and their ...
- 143
2
votes
0
answers
42
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How to determine the propensity score classifier validity? [duplicate]
I've got a bit more background in machine learning than statistics. Let's say that I want to analyze causal effects based on propensity scores of the treatment and control group. I know that most ...
- 21
4
votes
1
answer
5k
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Alternative analysis to propensity score matching for small sample sizes?
I have a small observational dataset (200 non-treatment, 100 treatment). It is obvious that the cohort of people receiving intervention were already sicker across the board by every metric. They also ...
- 787
0
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0
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391
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Propensity Score Matching and significance of estimators in logit regression
If I run a logistic regression to calculate a propensity score (i.e. the dependent variable is 0= do not participate in the treatment; 1= do participate) and therefore I want to see the probability a ...
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