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1 vote
0 answers
304 views

Do the weights of IPTW have to sum up to the population size?

I'm new to Inverse Probability of Treatment Weighting and trying to understand the mechanism. From several practical guides I understood, that the weights should add up to the population size for ...
TiTo's user avatar
  • 281
0 votes
0 answers
36 views

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 ...
Jos-Kan's user avatar
2 votes
1 answer
538 views

How to interpret the "standardized pair distances" (Std. Pair Dist.) in MatchIt output?

I would like to know how to interpret the Std. Pair Dist. (standardized pair distances) of summary() output of R's ...
buhtz's user avatar
  • 282
1 vote
0 answers
272 views

How to choose covariate adjustment method for effect of treatment estimation? [closed]

When trying to estimate average treatment effect (ATE) how does one choose between the different methods available to adjust for confounders? For example, how to choose between propensity score block ...
MonsieurWave's user avatar
0 votes
1 answer
774 views

Propensity to pay modelling

I am trying to build a propensity to pay model given an intervention to a customer. Context: The population I am dealing with are customers who were supposed to pay some amount on a certain date ...
Arindam Bose's user avatar
11 votes
3 answers
11k views

Probability calibration from LightGBM model with class imbalance

I've made a binary classification model using LightGBM. The dataset was fairly imbalanced but I'm happy enough with the output of it but am unsure how to properly calibrate the output probabilities. ...
Auren Ferguson's user avatar
1 vote
1 answer
2k views

Adjusting Sample with Propensity Score Weighting and ATT

I have a retrospective sample that contains a treatment and non-treatment group with >10 covariates comprised of both categorical and continuous variables. I used the chi-squared and Mann-Whitney U ...
mrizzo's user avatar
  • 13
3 votes
0 answers
58 views

How to improve structural bias correction using propensity scores

Given a control group and a treatment group, which are not equivalent (different distributions on a number of variables), I want to estimate the probability of an event given that the observation was ...
Konrad's user avatar
  • 461
10 votes
2 answers
32k views

matched pairs in Python (Propensity score matching)

Is there a function in python to create a matched pairs dataset? e.g. ...
volodymyr's user avatar
  • 389
4 votes
3 answers
16k views

What is the equation for random forest?

I need an equation for random forest so that I can score fresh data I receive every week, based on beta estimates I got after building model using this ensemble methodology. Every week I do not want ...
user3459010's user avatar