Daniel Westreich
researcher
Facts
9 properties- Instance of
- human
- Occupation
- epidemiologist
- Educated at
- University of North Carolina at Chapel Hill (?–2008)
- Award received
- Brian MacMahon Award (2014)[3]
- Doctoral advisor
- Annelies Van Rie[2]
- Doctoral student
- Cassidy Henegar (?–2013)
🏷️ Also known as
en Daniel Westreich
🔖 Identifiers · 5
- ORCID iD
- 0000-0003-3069-1650
- Academic Tree ID
- 242017
- Google Knowledge Graph ID
- /g/11g70jb18x
- Google Scholar author ID
- pTAtl-gAAAAJ
- X (Twitter) username
- EpidByDesign (2019–present)
🔗 Connections
Author of 9
All your data are always missing: incorporating bias due to measurement error into the potential outcomes framework,
Exploring the Subtleties of Inverse Probability Weighting and Marginal Structural Models,
Imputation approaches for potential outcomes in causal inference,
Multiple Imputation to Account for Measurement Error in Marginal Structural Models,
Nonparametric Bounds for the Risk Function,
The evolution of selection bias in the recent epidemiologic literature—a selective overview,
Thirteen Questions About Using Machine Learning in Causal Research (You Won’t Believe the Answer to Number 10!),
Toward a Clearer Definition of Selection Bias When Estimating Causal Effects
+1 more
← Authored by 9
All your data are always missing: incorporating bias due to measurement error into the potential outcomes framework,
Exploring the Subtleties of Inverse Probability Weighting and Marginal Structural Models,
Imputation approaches for potential outcomes in causal inference,
Multiple Imputation to Account for Measurement Error in Marginal Structural Models,
Nonparametric Bounds for the Risk Function,
The evolution of selection bias in the recent epidemiologic literature—a selective overview,
Thirteen Questions About Using Machine Learning in Causal Research (You Won’t Believe the Answer to Number 10!),
Toward a Clearer Definition of Selection Bias When Estimating Causal Effects
+1 more
Affiliated with 2
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