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3 votes
1 answer
465 views

Resample from a sample to match a desired distribution

Suppose I have observations $x_1,\dots,x_n$, sampled iid from some distribution on $\mathbb{R}$, with pdf $p(x)$. Suppose I wish I had a sample from the distribution with pdf $q(x)$. Is there a way ...
D.W.'s user avatar
  • 6,738
2 votes
0 answers
63 views

Propensity-Score Matching - what's the best choice when matching?

I'm using matchit package to create a propensity match. I'm trying to match control and treated with a 2:1 ratio in order to maximize the population and exclude ...
Mio zio Tuo zio's user avatar
2 votes
1 answer
153 views

Balance diagnostics: Why not measure post-matching balance **within** matched treatment-control pairs?

I understand there are a number of techniques for evaluating post-matching balance at the covariate level: standardized mean difference (SMD), variance ratios, and empirical CDF statistics. Are there ...
RobertF's user avatar
  • 6,286
1 vote
0 answers
55 views

How can I understand ATT estimator for matching discrepancies in Causal Inference Mixtape?

While studying 'Causal Inference: Mixtape' by myself, something I didn't know happened. link: https://mixtape.scunning.com/matching-and-subclassification.html#bias-correction $\begin{align} \...
vinsh_77's user avatar
4 votes
1 answer
2k views

Addressing the Ashenfelter’s dip

I am running a difference in difference (DiD) model on the effects of job-training on earnings. My data consists of a staggered adoption design whereby units receive treatment at different times, but ...
Alex's user avatar
  • 141
2 votes
1 answer
1k views

Do propensity score matching methods need to factor in the index date in a matched cohort context?

I am working on a comparative effectiveness study where we estimated the propensity of treatment between two groups and are exploring matching on the propensity score. The study period is long, ...
Ruminare's user avatar
4 votes
4 answers
923 views

How to match a biased sample to a population?

I have a sample of people which is biased in age, gender, geography. I am trying to measure various continuous outcomes out of them. I have the census data to tell me the reality of the population ...
Damien's user avatar
  • 53
9 votes
2 answers
16k views

Overmatching bias and confounding variables

As I understand it, matching is one way to identify causality in observational studies. By matching observations that are "similar" and comparing ones that did or did not receive treatment, you can ...
d_a_c321's user avatar
  • 1,269