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Literature DB >> 2049139

Competing risks in mortality analysis.

Abstract

Keywords: Americas; Biology; Cancer; Cardiovascular Effects; Causes Of Death; Cohort Analysis; Cultural Background; Data Analysis; Demographic Analysis; Demographic Factors; Developed Countries; Diseases; Ethnic Groups; Follow-up Studies; Heart Diseases; Life Table Method; Methodological Studies; Models, Theoretical; Mortality; Neoplasms; North America; Northern America; Physiology; Population; Population Characteristics; Population Dynamics; Research Methodology; Studies; United States; Whites

Mesh：

Year: 1991 PMID： 2049139 DOI： 10.1146/annurev.pu.12.050191.001433

Source DB: PubMed Journal: Annu Rev Public Health ISSN： 0163-7525 Impact factor: 21.981

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Cited

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24 in total

1. Gains in life expectancy after elimination of major causes of death: revised estimates taking into account the effect of competing causes.

Authors: J P Mackenbach; A E Kunst; H Lautenbach; Y B Oei; F Bijlsma
Journal: J Epidemiol Community Health Date: 1999-01 Impact factor: 3.710

2. Life table methods for quantitative impact assessments in chronic mortality.

Authors: B G Miller; J F Hurley
Journal: J Epidemiol Community Health Date: 2003-03 Impact factor: 3.710

3. Bias.

Authors: Miguel Delgado-Rodríguez; Javier Llorca
Journal: J Epidemiol Community Health Date: 2004-08 Impact factor: 3.710

Review 4. Potential role of statins in the treatment of heart failure.

Authors: Stuart D Katz
Journal: Curr Atheroscler Rep Date: 2008-08 Impact factor: 5.113

5. Pancreatic cancer patients who smoke and drink are diagnosed at younger ages.

Authors: Randall E Brand; Julia B Greer; Eugene Zolotarevsky; Rhonda Brand; Hongyan Du; Diane Simeone; Anna Zisman; Addi Gorchow; Shih-Yuan Connie Lee; Hemant K Roy; Michelle A Anderson
Journal: Clin Gastroenterol Hepatol Date: 2009-06-26 Impact factor: 11.382

6. Risk of colon cancer in hereditary non-polyposis colorectal cancer patients as predicted by fuzzy modeling: Influence of smoking.

Authors: Rhonda M Brand; David D Jones; Henry T Lynch; Randall E Brand; Patrice Watson; Ramesh Ashwathnayaran; Hemant K Roy
Journal: World J Gastroenterol Date: 2006-07-28 Impact factor: 5.742

Competing risks in mortality analysis.

1. Gains in life expectancy after elimination of major causes of death: revised estimates taking into account the effect of competing causes.

2. Life table methods for quantitative impact assessments in chronic mortality.

3. Bias.

Review 4. Potential role of statins in the treatment of heart failure.

5. Pancreatic cancer patients who smoke and drink are diagnosed at younger ages.

6. Risk of colon cancer in hereditary non-polyposis colorectal cancer patients as predicted by fuzzy modeling: Influence of smoking.

7. Quantifying the future impact of disease on society: life table-based measures of potential life lost.

8. Leukocyte telomere length and mortality in the National Health and Nutrition Examination Survey, 1999-2002.

9. Validation of a decision model for preventive pharmacological strategies in postmenopausal women.

Review 10. Long-term survival of cancer patients compared to heart failure and stroke: a systematic review.