Constantine E Frangakis
Datos Biográficos
| ID | 5545102 |
|---|---|
| NOMBRE | Constantine E Frangakis |
| NOMBRES | Constantine E |
| APELLIDO | Frangakis |
| FIRMA | FRANGAKIS C E |
| VERIFICADO | No |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 2 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2002 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2007 |
| ÍNDICE H | 0 |
Using Propensity Scores Subclassification to Estimate Effects of Longitudinal Treatments
BACKGROUND: When using observational data to compare the effectiveness of medications, it is essential to account parsimoniously for patients' longitudinal characteristics that lead to changes in treatments over time. OBJECTIVES: We developed a method of estimating effects of longitudinal treatments that uses subclassification on a longitudinal propensity score to compare outcomes between a new drug (exenatide) and established drugs (insulin and …
Principal Stratification in Causal Inference
Many scientific problems require that treatment comparisons be adjusted for posttreatment variables, but the estimands underlying standard methods are not causal effects. To address this deficiency, we propose a general framework for comparing treatments adjusting for posttreatment variables that yields principal effects based on principal stratification. Principal stratification with respect to a posttreatment variable is a cross‐classification …
Sin obras prominentes en esta página.
Principal Stratification in Causal Inference
Many scientific problems require that treatment comparisons be adjusted for posttreatment variables, but the estimands underlying standard methods are not causal effects. To address this deficiency, we propose a general framework for comparing treatments adjusting for posttreatment variables that yields principal effects based on principal stratification. Principal stratification with respect to a posttreatment variable is a cross‐classification …
Using Propensity Scores Subclassification to Estimate Effects of Longitudinal Treatments
BACKGROUND: When using observational data to compare the effectiveness of medications, it is essential to account parsimoniously for patients' longitudinal characteristics that lead to changes in treatments over time. OBJECTIVES: We developed a method of estimating effects of longitudinal treatments that uses subclassification on a longitudinal propensity score to compare outcomes between a new drug (exenatide) and established drugs (insulin and …
Advanced Causal Inference Techniques (2 obras) · Artificial Intelligence (1 obras) · Causal inference (1 obras) · Censoring (clinical trials) (1 obras) · Cohort study (1 obras) · Computer Science (1 obras) · Confidence interval (1 obras) · Covariate (1 obras) · Diabetes mellitus (1 obras) · Econometrics (1 obras)