David M Steinberg
Biographic Data
| ID | 5545870 |
|---|---|
| NAME | David M Steinberg |
| GIVEN NAMES | David M |
| FAMILY NAME | Steinberg |
| SIGNATURE | STEINBERG D M |
| AFFILIATIONS | Tel Aviv University |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2011 |
| H-INDEX | 0 |
Achievement data in IEA studies and Simpson's Paradox
Role of Socioeconomic Status Measures in Long-term Mortality Risk Prediction After Myocardial Infarction
BACKGROUND: The relationship of risk factors to outcomes has traditionally been assessed by measures of association such as odds ratio or hazard ratio and their statistical significance from an adjusted model. However, a strong, highly significant association does not guarantee a gain in stratification capacity. Using recently developed model performance indices, we evaluated the incremental discriminatory power of individual and neighborhood soc…
Cumulative exposure to air pollution and long term outcomes after first acute myocardial infarction
This study addresses some of the gaps in understanding of the prognostic importance of air pollution exposure after myocardial infarction, by allowing a sufficient follow-up period, using a well-defined community cohort, adequately controlling for multiple and multilevel confounding factors and providing extensive data on various outcomes
No prominent works on this page.
Cumulative exposure to air pollution and long term outcomes after first acute myocardial infarction
This study addresses some of the gaps in understanding of the prognostic importance of air pollution exposure after myocardial infarction, by allowing a sufficient follow-up period, using a well-defined community cohort, adequately controlling for multiple and multilevel confounding factors and providing extensive data on various outcomes
Achievement data in IEA studies and Simpson's Paradox
Role of Socioeconomic Status Measures in Long-term Mortality Risk Prediction After Myocardial Infarction
BACKGROUND: The relationship of risk factors to outcomes has traditionally been assessed by measures of association such as odds ratio or hazard ratio and their statistical significance from an adjusted model. However, a strong, highly significant association does not guarantee a gain in stratification capacity. Using recently developed model performance indices, we evaluated the incremental discriminatory power of individual and neighborhood soc…
Emergency Medicine (2 works) · Environmental health (2 works) · Internal Medicine (2 works) · Medicine (2 works) · Myocardial infarction (2 works) · Population (2 works) · Acute Myocardial Infarction Research (1 works) · Advanced Causal Inference Techniques (1 works) · Air pollution (1 works) · Air Quality and Health Impacts (1 works)