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1. |
Editorial Board, Class of 2007 |
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Epidemiology,
Volume 14,
Issue 1,
2003,
Page 1-1
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ISSN:1044-3983
出版商:OVID
年代:2003
数据来源: OVID
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2. |
Epidemiology and Randomized Clinical Trials |
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Epidemiology,
Volume 14,
Issue 1,
2003,
Page 2-2
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PDF (52KB)
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ISSN:1044-3983
出版商:OVID
年代:2003
数据来源: OVID
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3. |
Hormone Replacement Therapy in Epidemiologic Studies and Randomized Clinical Trials— Are We Checkmate? |
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Epidemiology,
Volume 14,
Issue 1,
2003,
Page 3-5
Karin Michels,
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ISSN:1044-3983
出版商:OVID
年代:2003
数据来源: OVID
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4. |
Larger Lessons from the Women's Health Initiative |
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Epidemiology,
Volume 14,
Issue 1,
2003,
Page 6-7
Steven Piantadosi,
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ISSN:1044-3983
出版商:OVID
年代:2003
数据来源: OVID
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5. |
Observational Studies and Randomized Trials of Hormone Replacement Therapy: What Can We Learn From Them? |
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Epidemiology,
Volume 14,
Issue 1,
2003,
Page 8-10
Alice Whittemore,
Valerie McGuire,
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ISSN:1044-3983
出版商:OVID
年代:2003
数据来源: OVID
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6. |
New Problems for an Old Design: Time Series Analyses of Air Pollution and Health |
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Epidemiology,
Volume 14,
Issue 1,
2003,
Page 11-12
Jonathan Samet,
Francesca Dominici,
Aidan McDermott,
Scott Zeger,
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ISSN:1044-3983
出版商:OVID
年代:2003
数据来源: OVID
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7. |
Time Series Analyses of Air Pollution and Health: Straining at Gnats and Swallowing Camels? |
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Epidemiology,
Volume 14,
Issue 1,
2003,
Page 13-14
Thomas Lumley,
Lianne Sheppard,
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ISSN:1044-3983
出版商:OVID
年代:2003
数据来源: OVID
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8. |
Health Effects of Electric and Magnetic Fields: Are We Done Yet? |
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Epidemiology,
Volume 14,
Issue 1,
2003,
Page 15-17
David Savitz,
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ISSN:1044-3983
出版商:OVID
年代:2003
数据来源: OVID
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9. |
The Effect of Concurvity in Generalized Additive Models Linking Mortality to Ambient Particulate Matter |
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Epidemiology,
Volume 14,
Issue 1,
2003,
Page 18-23
Timothy Ramsay,
Richard Burnett,
Daniel Krewski,
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摘要:
In recent years, a number of studies have applied generalized additive models to time series data to estimate associations between exposure to air pollution and cardiorespiratory morbidity and mortality. If concurvity, the nonparametric analogue of multicollinearity, is present in the data, statistical software such as S-plus can seriously underestimate the variance of fitted model parameters, leading to significance tests with inflated type 1 error. This paper uses computer simulation and analyses of actual epidemiologic data to explore this underestimation of standard errors. We provide a method for assessing concurvity in data and an alternate class of models that is unaffected by concurvity. We argue that some degree of concurvity is likely to be present in all epidemiologic time series datasets and we explore through the use of meta-analysis the possible impact of concurvity on the existing body of work relating ambient levels of sulfate particles to mortality.
ISSN:1044-3983
出版商:OVID
年代:2003
数据来源: OVID
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10. |
Smoking, Blood Pressure and Serum Cholesterol—Effects on 20-Year Mortality |
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Epidemiology,
Volume 14,
Issue 1,
2003,
Page 24-29
Saskia Houterman,
W. M. Verschuren,
Daan Kromhout,
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摘要:
Background.To study the impact of smoking and blood pressure conditional on serum total cholesterol levels, we investigated the 20-year mortality risk associated with high systolic blood pressure (≥140 mmHg) and smoking, at low (<5.2 mmol/Liter), medium (5.2–6.49mmol/Liter), and high (≥6.5 mmol/Liter) serum total cholesterol levels.Methods.The study population comprised a cohort of 50,000 men and women age 30–54 years, examined between 1974 and 1980, in five Dutch towns. The duration of follow-up averaged 20 years. Age-adjusted relative risks (RRs) for mortality from coronary heart disease (CHD), cardiovascular diseases (CVD) and all causes were estimated, for six risk profiles (based on levels of total cholesterol, systolic blood pressure and smoking), using Cox proportional hazards analysis.Results.Given a low cholesterol level, smoking had a larger impact than elevated blood pressure on CHD, CVD and all-cause mortality. The combination of elevated blood pressure and smoking among persons with low cholesterol was associated with RRs of 3.0 for CHD, 6.0 for CVD and 4.1 for all-cause mortality in men, and 2.3, 3.6 and 2.6, respectively, in women. Among persons with high cholesterol, the combination of high blood pressure and smoking was associated with RRs of 9.7 for CHD, 13.9 for CVD and 5.7 for all-cause mortality in men, and 15.9, 9.3 and 4.3, respectively, in women. For each risk profile, the absolute number of CHD, CVD and total deaths was larger in men than in women.Conclusions.The results demonstrate the potential power of a multifactorial approach to risk factor reduction in the prevention of cardiovascular diseases and all-cause mortality.
ISSN:1044-3983
出版商:OVID
年代:2003
数据来源: OVID
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