Pratik Sachdeva
Biographic Data
| ID | 4270508 |
|---|---|
| NAME | Pratik Sachdeva |
| GIVEN NAMES | Pratik |
| FAMILY NAME | Sachdeva |
| SIGNATURE | SACHDEVA P |
| AFFILIATIONS | University of California, Berkeley |
| ORCID | 0000-0002-6809-2437 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Comparing Methods for Estimating Demographics in Racially Polarized Voting Analyses
We consider the cascading effects of researcher decisions throughout the process of quantifying racially polarized voting (RPV). We contrast three methods of estimating precinct racial composition, Bayesian Improved Surname Geocoding (BISG), fully Bayesian BISG, and Citizen Voting Age Population (CVAP), and two algorithms for performing ecological inference (EI), King's EI and EI:RxC using eiCompare. Using data from two different elections we ide…
The stories about racism and health: The development of a framework for racism narratives in medical literature using a computational grounded theory approach
We demonstrated racism narratives of dismissal, person-level, societal, and actionable explanations within influential medical articles. Our framework can help clinicians, researchers, and educators gain insight into which narratives have been used to describe the causes of racial and ethnic health inequities, and to evaluate medical literature more critically. This work is a first step towards monitoring racism narratives over time, which can mo…
No prominent works on this page.
The stories about racism and health: The development of a framework for racism narratives in medical literature using a computational grounded theory approach
We demonstrated racism narratives of dismissal, person-level, societal, and actionable explanations within influential medical articles. Our framework can help clinicians, researchers, and educators gain insight into which narratives have been used to describe the causes of racial and ethnic health inequities, and to evaluate medical literature more critically. This work is a first step towards monitoring racism narratives over time, which can mo…
Comparing Methods for Estimating Demographics in Racially Polarized Voting Analyses
We consider the cascading effects of researcher decisions throughout the process of quantifying racially polarized voting (RPV). We contrast three methods of estimating precinct racial composition, Bayesian Improved Surname Geocoding (BISG), fully Bayesian BISG, and Citizen Voting Age Population (CVAP), and two algorithms for performing ecological inference (EI), King's EI and EI:RxC using eiCompare. Using data from two different elections we ide…
Political science (2 works) · Sociology (2 works) · Artificial Intelligence (1 works) · Artificial Intelligence (1 works) · Bayesian probability (1 works) · Cartography (1 works) · Causal inference (1 works) · Computer Science (1 works) · Cultural Competency in Health Care (1 works) · Demographics (1 works)