Causal Modeling to Mitigate Selection Bias and Unmeasured Confounding in Internet-Based Epidemiology of COVID-19: Model Development and Validation
Causal Modeling to Mitigate Selection Bias and Unmeasured Confounding in Internet-Based Epidemiology of COVID-19: Model Development and Validation
Nathaniel Stockham
1
, MSc ;
Peter Washington
2
, PhD ;
Brianna Chrisman
2
, PhD ;
Kelley Paskov
3
, MSc ;
Jae-Yoon Jung
4
, PhD ;
Dennis Paul Wall
4, 5
, PhD
1
Neurosciences Interdepartmental Program, Stanford University, Palo Alto, CA, United States
2
Department of Bioengineering, Stanford University, Stanford, CA, United States
3
Biomedical Informatics Program, Stanford University, Stanford, CA, United States
4
Department of Biomedical Data Science, Stanford University, Stanford, CA, United States
5
Department of Pediatrics, Stanford University, Stanford, CA, United States
Corresponding Author:
-
Nathaniel Stockham, MSc
-
Neurosciences Interdepartmental Program
-
Stanford University
-
3145 Porter Dr
-
Palo Alto, CA, 94304
-
United States
-
Phone:
1 2056021832
-
Email: stockham@stanford.edu