Pamela K Green
Biographic Data
| ID | 5541408 |
|---|---|
| NAME | Pamela K Green |
| GIVEN NAMES | Pamela K |
| FAMILY NAME | Green |
| SIGNATURE | GREEN P K |
| AFFILIATIONS | University of Utah |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2009 |
| LATEST PUBLICATION YEAR | 2009 |
| H-INDEX | 0 |
No Pain, But No Gain? The Disappearance of Angina Hospitalizations, 1992–1999
BACKGROUND: Hospitalization for angina is commonly considered an ambulatory care sensitive hospitalization and used as a measure of access to primary care. OBJECTIVE: To analyze time trends in angina-related hospitalizations and seek possible explanations for an observed, marked decline during 1992 to 1999. RESEARCH DESIGN: We analyzed Medicare claims of SEER-Medicare control subjects for occurrence of angina hospital discharges, using the Agency…
The Contribution of Longitudinal Comorbidity Measurements to Survival Analysis
BACKGROUND: Many clinical and health services research studies are longitudinal, raising questions about how best to use an individual's comorbidity measurements over time to predict survival. OBJECTIVES: To evaluate the performance of different approaches to longitudinal comorbidity measurement in predicting survival, and to examine strategies for addressing the inevitable issue of missing data. RESEARCH DESIGN: Retrospective cohort study using …
No prominent works on this page.
No Pain, But No Gain? The Disappearance of Angina Hospitalizations, 1992–1999
BACKGROUND: Hospitalization for angina is commonly considered an ambulatory care sensitive hospitalization and used as a measure of access to primary care. OBJECTIVE: To analyze time trends in angina-related hospitalizations and seek possible explanations for an observed, marked decline during 1992 to 1999. RESEARCH DESIGN: We analyzed Medicare claims of SEER-Medicare control subjects for occurrence of angina hospital discharges, using the Agency…
The Contribution of Longitudinal Comorbidity Measurements to Survival Analysis
BACKGROUND: Many clinical and health services research studies are longitudinal, raising questions about how best to use an individual's comorbidity measurements over time to predict survival. OBJECTIVES: To evaluate the performance of different approaches to longitudinal comorbidity measurement in predicting survival, and to examine strategies for addressing the inevitable issue of missing data. RESEARCH DESIGN: Retrospective cohort study using …
Internal Medicine (2 works) · Internal Medicine (2 works) · Medicine (2 works) · Primary Care and Health Outcomes (2 works) · Acute Myocardial Infarction Research (1 works) · Ambulatory (1 works) · Angina (1 works) · Baseline (sea) (1 works) · Cardiology (1 works) · Chronic Disease Management Strategies (1 works)