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Forest plot for subgroups’ conditional average treatment effects of lottery selection and health insurance on number of emergency department visits.

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Author(s): Zaid Hattab; Edel Doherty; Andrew M. Ryan; Stephen O’Neill
Subject Terms:
Medicine; Sociology; Cancer; Science Policy; Virology; results generally coincide; instrumental forest methods; increases physician visits; emergency department visits; apply causal forest; financial hardship outcomes; health insurance across; related outcomes; pocket spending; ohie ); medicaid expansion; literature regarding; largely focused; hospital admissions; healthcare utilization; health insurance; drug prescriptions
Document Type:
still image
Language:
unknown

Additional Information
- Publication Date:
  2024
- Abstract:
  Forest plot for subgroups’ conditional average treatment effects of lottery selection and health insurance on number of emergency department visits.
- Relation:
  https://figshare.com/articles/figure/Forest_plot_for_subgroups_conditional_average_treatment_effects_of_lottery_selection_and_health_insurance_on_number_of_emergency_department_visits_/25023691
- Accession Number:
  10.1371/journal.pone.0297205.s015
- Online Access:
  https://doi.org/10.1371/journal.pone.0297205.s015
  https://figshare.com/articles/figure/Forest_plot_for_subgroups_conditional_average_treatment_effects_of_lottery_selection_and_health_insurance_on_number_of_emergency_department_visits_/25023691
- Rights:
  CC BY 4.0
- Accession Number:
  edsbas.10C085A3

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