Estimation of population attributable fraction (PAF) for disease occurrence in a cohort study design

Statistics in Medicine

Volumn 29, Issue 7-8, 2010, Pages 860-874

  Laaksonen, M A ^a   Harkanen T ^a   Knekt, P ^a,b   Virtala, E ^a   Oja, H ^c  

^a NATIONAL PUBLIC HEALTH INSTITUTE   (Finland)

^b SOCIAL INSURANCE INSTITUTION   (Finland)

^c TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

Author keywords

Burden of disease; Censoring; Cohort studies; Modifiable risk factors; Piecewise constant hazards model; Population attributable fraction (paf)

Indexed keywords

ARTICLE; ATTRIBUTABLE RISK; COHORT ANALYSIS; DIABETES MELLITUS; MORBIDITY; OUTCOME ASSESSMENT; PREVALENCE; RISK FACTOR; SIMULATION; STATISTICAL MODEL;

ADULT; AGED; ALCOHOL DRINKING; BIOSTATISTICS; BODY MASS INDEX; COHORT STUDIES; COMPUTER SIMULATION; CONFIDENCE INTERVALS; DIABETES MELLITUS, TYPE 2; EXERCISE; FEMALE; FINLAND; HUMANS; INCIDENCE; MALE; MIDDLE AGED; POPULATION; PREVALENCE; RISK ASSESSMENT; RISK FACTORS; SMOKING;

EID: 77949399427     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3792     Document Type: Article

References (16)

1. Benichou J. A review of adjusted estimators of attributable risk. Statistical Methods in Medical Research 2001; 10(3):195-216.
2. Chen YQ, Hu C, Wang Y. Attributable risk function in the proportional hazards model for censored time-to-event. Biostatistics 2006; 7(4):515-529.
3. Spiegelman D, Hertzmark E, Wand HC. Point and interval estimates of partial population attributable risks in cohort studies: examples and software. Cancer Causes Control 2007; 18(5):571-579.
4. Samuelsen SO, Eide GE. Attributable fractions with survival data. Statistics in Medicine 2008; 27(9):1447-1467.
5. Andersen PK, Borgan O, Gill RD, Keiding N. Statistical Models Based on Counting Processes. Springer: New York, 1993.
6. Rothman KJ, Greenland S. Modern Epidemiology. Lippincott-Raven Publishers: Philadelphia, PA, 1998.
7. Gail MH, Pfeiffer RM. On criteria for evaluating models of absolute risk. Biostatistics 2005; 6(2):227-239.
8. Schumacher M, Wangler M, Wolkewitz M, Beyersmann J. Attributable mortality due to nosocomial infections. A simple and useful application of multistate models. Methods of Information in Medicine 2007; 46(5):595-600.
9. Korn EL, Graubard BI, Midthune D. Time-to-event analysis of longitudinal follow-up of a survey: choice of the time-scale. American Journal of Epidemiology 1997; 145(1):72-80.
10. Andersen PK, Keiding N. Multi-state models for event history analysis. Statistical Methods in Medical Research 2002; 11(2):91-115.
11. Friedman M. Piecewise exponential models for survival data with covariates. The Annals of Statistics 1982; 10:101-113.
12. SAS Institute Inc. SAS/STAT User's Guide, Version 9.1. SAS Institute Inc.: Cary, NC, 2007.
13. Efron B. Bootstrap methods: another look at the jackknife. The Annals of Statistics 1979; 7(1):1-26.
14. Aromaa A, Heliövaara M, Impivaara O, Knekt P, Maatela J. Aims, methods and study population. Part 1. In The execution of the Mini-Finland Health Survey (in Finnish, English Summary), Aromaa A, Heliövaara M, Impivaara O, Knekt P, Maatela J (eds). Publications of the Social Insurance Institution, Finland: Helsinki and Turku, 1989; ML:88.
15. Greenland S, Drescher K. Maximum likelihood estimation of the attributable fraction from logistic models. Biometrics 1993; 49:865-872.
16. Pichlmeier U, Gefeller O. Conceptual aspects of attributable risk with recurrent disease events. Statistics in Medicine 1997; 16(10):1107-1120.