Estimated GATEs for theory-driven effect modifiers.

Estimated GATEs for theory-driven effect modifiers.

<p>(a) Inpatient demand. <i>Note:</i> Point estimates and 95% confidence intervals (error bars) are reported. ATE point estimates are also reported. (b) Outpatient demand. <i>Note:</i> Point estimates and 95% confidence intervals (error bars) are reported. ATE point est...

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Bibliographic Details
Main Author: Vishalie Shah (7301909) (author)
Other Authors: Noemi Kreif (8414208) (author)
Published: 2025
Subjects:
Sociology
Science Policy
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
theoretically motivated covariates
super learner algorithm
recipients &# 8217
indonesia &# 8217
employ causal forests
driven subgroup analyses
causal machine learning
subsidised health insurance
estimating heterogeneous impacts
positive average impact
subsidised component
policy impacts
impacts based
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utilisation outcomes
seek care
results demonstrate
prediction tasks
part model
outcome model
observed characteristics
linear projections
leverage predictive
healthcare utilisation
healthcare demand
evident heterogeneity
distinct investigation
care consumed
approach addresses
also find
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