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1 vote
0 answers
23 views

Is there relationship between propensity score based causal inference and sampling weights?

Consider observational study with single outcome $Y$, single covariate $X$ and treatment assignment variable $W$. Under unconfounded treatment assignment assumption, $E_{sp}[Y(1)]=E[\frac{Y_i^{obs}W_i}...
user45765's user avatar
  • 1,445
1 vote
1 answer
615 views

how to understand the weights in PSM?

When using propensity score matching or weighting, a column of weights is generated that is used to estimate the effect of interest. According to a blog I read, there are three types of weights ...
Plumber's user avatar
  • 33
0 votes
1 answer
341 views

Calculate risk ratio in weighted population

I have a propensity score weighted population (using IPTW) and I want to compute risk ratios on my weighted population. For this, I am using a weighted Poisson regression. Let's suppose that "...
user19745561's user avatar
1 vote
0 answers
41 views

A question about a proper weighting method of a multi-stage survey design

Referring to the question in the link below : How can I use Propensity Scores to adjust for survey non-response bias? I read the paper published by Lee and Valliant (2009) and the pew research method ...
An116's user avatar
  • 367
7 votes
1 answer
1k views

How can I use Propensity Scores to adjust for survey non-response bias?

Say I estimate the probability that each member of my target population responds to a survey using propensity scores. I am having a hard time finding a clear explanation of how I can use the ...
Alex's user avatar
  • 497
2 votes
1 answer
98 views

Matching biometrics with NHANES

Good morning everyone, I'm trying to figure out how to do some matching with NHANES datasets. Basically, I have a separate population of participants in a weight loss program, for which we do not ...
James's user avatar
  • 33
2 votes
0 answers
175 views

Does exists a routine to perform Sensitivity analysis after weighting by inverse probability of treatment weight?

I am employing a propensity score matching to get the treatment group and the control group balanced. I employ the inverse probability weights times some sampling weights (I am using a survey, hence I ...
Marco's user avatar
  • 21
8 votes
1 answer
748 views

In propensity score analysis, what are options to deal with very small or large propensities?

$\newcommand{\P}{\mathbb{P}}$I am concerned with observational data in which the treatment assignment can be explained exceedingly well. For example, a logistic regression of $$\P(A =1 |X) = (1+ \...
tomka's user avatar
  • 6,624