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A guide to regression discontinuity designs in medical applications
Matias D. Cattaneo
, Luke Keele
,
Rocío Titiunik
Economics
Center for Statistics & Machine Learning
Operations Research & Financial Engineering
Politics
Research output
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Contribution to journal
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Article
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peer-review
23
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Keyphrases
Medical Applications
100%
Regression Discontinuity Design
100%
Inference Methods
66%
Local Neighborhood
33%
South Africa
33%
United States
33%
Estimation Method
33%
Uncertainty Quantification
33%
Aging Effect
33%
Biomedical Applications
33%
Regression Analysis
33%
Treatment Effect
33%
Antiretroviral Therapy
33%
Practical Guide
33%
Healthcare Utilization
33%
Biomedical Research
33%
Chemotherapy
33%
Therapeutic Treatment
33%
Point Estimation
33%
Python
33%
Publicly Available Data
33%
Taiwan
33%
Statistical Software
33%
Age-based
33%
Optimal Treatment
33%
Breast Cancer Recurrence
33%
Neighborhood Selection
33%
Regression Discontinuity Analysis
33%
Assignment Rules
33%
Stata
33%
Falsification Test
33%
HIV Patients
33%
Clinical Practice Guidelines
33%
Estimand
33%
Biomedical Context
33%
Fuzzy Regression Discontinuity Design
33%
Local Randomization
33%
Patient Cost-sharing
33%
Genetic Guideline
33%
Computer Science
Inference Method
100%
Medical Application
100%
Local Neighborhood
50%
Estimation Method
50%
Optimal Selection
50%
Treatment Effect
50%
Estimation Point
50%
Statistical Software
50%
United States of America
50%
Python
50%
Mathematics
Inference Method
100%
Uncertainty Quantification
50%
Treatment Effect
50%
Estimation Method
50%
Point Estimation
50%
Randomization
50%
Biomedical Application
50%
Python
50%
Pythonidae
50%