Anna Bartak
Biographic Data
| ID | 5536928 |
|---|---|
| NAME | Anna Bartak |
| GIVEN NAMES | Anna |
| FAMILY NAME | Bartak |
| SIGNATURE | BARTAK A |
| AFFILIATIONS | University of Amsterdam |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2015 |
| H-INDEX | 0 |
Estimating Subgroup Effects Using the Propensity Score Method
OBJECTIVE: Our aim was to demonstrate the feasibility of the univariate and generalized propensity score (PS) method in subgroup analysis of outcomes research. METHODS: First, to estimate subgroup effects, we tested the performance of 2 different PS methods, using Monte Carlo simulations: (1) the univariate PS with additional adjustment on the subgroup; and (2) the generalized PS, estimated by crossing the treatment options with a subgroup variab…
The Multiple Propensity Score as Control for Bias in the Comparison of More Than Two Treatment Arms
BACKGROUND AND OBJECTIVE: The propensity score method (PS) has proven to be an effective tool to reduce bias in nonrandomized studies, especially when the number of (potential) confounders is large and dimensionality problems arise. The PS method introduced by Rosenbaum and Rubin is described in detail for studies with 2 treatment options. Since in clinical practice we are often interested in the comparison of multiple interventions, there was a …
No prominent works on this page.
The Multiple Propensity Score as Control for Bias in the Comparison of More Than Two Treatment Arms
BACKGROUND AND OBJECTIVE: The propensity score method (PS) has proven to be an effective tool to reduce bias in nonrandomized studies, especially when the number of (potential) confounders is large and dimensionality problems arise. The PS method introduced by Rosenbaum and Rubin is described in detail for studies with 2 treatment options. Since in clinical practice we are often interested in the comparison of multiple interventions, there was a …
Estimating Subgroup Effects Using the Propensity Score Method
OBJECTIVE: Our aim was to demonstrate the feasibility of the univariate and generalized propensity score (PS) method in subgroup analysis of outcomes research. METHODS: First, to estimate subgroup effects, we tested the performance of 2 different PS methods, using Monte Carlo simulations: (1) the univariate PS with additional adjustment on the subgroup; and (2) the generalized PS, estimated by crossing the treatment options with a subgroup variab…
Advanced Causal Inference Techniques (2 works) · Econometrics (2 works) · Mathematics (2 works) · Medicine (2 works) · Propensity score matching (2 works) · Statistics (2 works) · Confidence interval (1 work) · Confounding (1 work) · Logistic regression (1 work) · Mental Health Research Topics (1 work)