The probability of receiving a treatment given a set of observed covariates.
1
vote
0answers
23 views
Heterogeneous Treatment Effects - How to test differences in the ATE?
I have the following problem:
I want to conduct a simple Propensity Score Estimation where the treatment D is a binary variable (D=1 individual i participates in the labor market program, zero ...
1
vote
2answers
73 views
reconstructing matched data set from R's matching package
I am using Mebane and Sekhon's Matching package for R, and my goal is to make casual inferences about a proportion and a mean. The proportion is straight forward, but the mean has missing values, ...
8
votes
2answers
252 views
Propensity score weighting in Cox PH analysis and covariate selection
Regarding propensity score weighting (IPTW) when doing Cox proportional hazard modeling of time-to-event survival data:
I have prospective registry data where we're interested in looking at treatment ...
0
votes
0answers
49 views
Using propensity scores from twang in coxph
I've used the twang package to calculate propensity score weights in my observational data set. The twang vignette uses the ...
3
votes
2answers
105 views
Is matching only for treatment effects with selection bias?
Propensity score matching (and other matching techniques) are used, as far as I have seen, exclusively for identifying causal effects of a treatment (intervention) and particularly where there is a ...
16
votes
3answers
746 views
Propensity score matching after multiple imputation
I refer to this paper:
Hayes JR, Groner JI.
"Using multiple imputation and propensity scores to test the effect of car seats and seat belt usage on injury severity from trauma registry data."
J ...
2
votes
1answer
57 views
Account for group age differences
I have a dataset of two patient and one healthy control group which I would like to compare (using R) with respect to a continuous outcome variable (each subjects is measured once). However the groups ...
1
vote
2answers
83 views
How is it possible to turn out with a highly accurate prediction when all records were classified the same way?
We ran a CHAID decision tree model using the set up and process described in my related question here. We used the propensity scores to come up with a prediction. We measured the prediction at the end ...
1
vote
0answers
86 views
Predicting response propensity in a rolling data collection
I'm working with a survey that uses a rolling data collection format (i.e., there are multiple waves of sampling and initial contacts). I'm trying to develop a model to predict how likely a sample ...
3
votes
1answer
111 views
How to perform 1-to-1 matching when there are more treated than control subjects?
When there are more treated than control, is it possible to do 1-to-1 matching (without replacement)?
It makes sense to do 1-to-1 when there are less treated than control but I am not sure if one can ...
2
votes
1answer
167 views
Is it appropriate to calculate odds ratios between groups matched on covariates (propensity scores)?
I have a data set that includes a primary dichotomous independent variable (e.g., smoking), a primary dichotomous dependent variable (e.g., chronic back pain), and several covariates (e.g., diagnosis ...
6
votes
2answers
419 views
Use of propensity score in a case-control study
The theory of propensity score (PS) suggests that it should only be used for the cohort study because PS matches the "treated/exposed" to the "un-treated/un-exposed" groups. However, cases and ...
4
votes
3answers
563 views
How to, or what is the best way, to apply propensity scores after matching?
I have developed a recent interest in propensity scores. I have been using the SPSS tool created by Dr. F. Thoemmes to calculate propensity scores using bivariate "treatment" variables (e.g., ...
1
vote
0answers
51 views
What is the relationship between propensity scores and sufficient statistics?
What is the relationship between propensity scores and sufficient statistics? I just came across the idea.
3
votes
1answer
243 views
Using ANCOVA with data matched on propensity scores
I've read papers comparing them, but never seen a study that used them
together. Is this done? Why or why not? Suppose you use
ANCOVA to analyze a reduced sample of matched pairs generated using
...
12
votes
4answers
2k views
How are propensity scores different from adding covariates in a regression, and when are they preferred to the latter?
I admit I'm relatively new to propensity scores and causal analysis.
One thing that's not obvious to me as a newcomer is how the "balancing" using propensity scores is mathematically different from ...
1
vote
2answers
253 views
What is a good reference that discusses the problem of common support?
Asking this for a colleague:
They have two groups of people with various characteristics and to address the issue of comparability of outcomes they would like to reference a paper or book that ...
2
votes
1answer
145 views
Aggregation of propensity scores with varying reliability
When trying to estimate the number of sampling units with an attribute, is there a good algebraic way to aggregate over propensity scores for that attribute which each have their own error? For ...
13
votes
4answers
1k views
From a statistical perspective, can one infer causality using propensity scores with an observational study?
Question: From the standpoint of statistician (or a practitioner), can one infer causality using propensity scores with an observational study (not an experiment)?
Please, do not want to start a ...
