Karen Swietek
Biographic Data
| ID | 211662 |
|---|---|
| NAME | Karen Swietek |
| GIVEN NAMES | Karen |
| FAMILY NAME | Swietek |
| SIGNATURE | SWIETEK K |
| AFFILIATIONS | University of Chicago |
| ORCID | 0000-0003-4074-4867 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Telehealth Utilization Among Adult Medicaid Beneficiaries in North Carolina with Behavioral Health Conditions During the Covid-19 Pandemic
Improving Causal Inference
Objective: This paper is a resource for applied researchers and journal reviewers who wish to learn more about propensity score methods, especially recent published recommendations for selecting and balancing covariates before conducting treatment effect analysis. Method: We reviewed and synthesized methodological studies of propensity score analysis from multiple disciplines in an effort to distill a cogent and defensible set of recommendations …
Improving Causal Inference
Objective: This paper is a resource for applied researchers and journal reviewers who wish to learn more about propensity score methods, especially recent published recommendations for selecting and balancing covariates before conducting treatment effect analysis. Method: We reviewed and synthesized methodological studies of propensity score analysis from multiple disciplines in an effort to distill a cogent and defensible set of recommendations …
Improving Causal Inference
Objective: This paper is a resource for applied researchers and journal reviewers who wish to learn more about propensity score methods, especially recent published recommendations for selecting and balancing covariates before conducting treatment effect analysis. Method: We reviewed and synthesized methodological studies of propensity score analysis from multiple disciplines in an effort to distill a cogent and defensible set of recommendations …
Telehealth Utilization Among Adult Medicaid Beneficiaries in North Carolina with Behavioral Health Conditions During the Covid-19 Pandemic
Advanced Causal Inference Techniques (1 work) · Artificial Intelligence (1 work) · Causal inference (1 work) · Computer Science (1 work) · Confounding (1 work) · Coronavirus disease 2019 (COVID-19 (1 work) · Covariate (1 work) · COVID-19 and healthcare impacts (1 work) · Disease (1 work) · Econometrics (1 work)