All Questions
Tagged with propensity-scores python
10 questions
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 ...
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 ...
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 ...
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 ...
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 ...
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. ...
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 ...
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 ...
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.
...
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 ...