Geographical epidemiology of prostate cancer in Great Britain

International Journal of Cancer

Volumn 97, Issue 5, 2002, Pages 695-699

  Jarup, Lars ^a   Best, Nicky ^a   Toledano, Mireille B ^a   Wakefield, Jon ^a   Elliott, Paul ^a  

^a IMPERIAL COLLEGE SCHOOL OF MEDICINE   (United Kingdom)

Author keywords

Epidemiology; Geographical; Prostate cancer; Spatial variability

Indexed keywords

ADULT; ARTICLE; CANCER EPIDEMIOLOGY; GEOGRAPHIC DISTRIBUTION; HUMAN; MAJOR CLINICAL STUDY; MALE; POISSON DISTRIBUTION; PRIORITY JOURNAL; PROSTATE CANCER; REGRESSION ANALYSIS; SOCIOECONOMICS; UNITED KINGDOM; URBANIZATION;

BAYES THEOREM; CLUSTER ANALYSIS; GREAT BRITAIN; HUMANS; MALE; MIDDLE AGED; POISSON DISTRIBUTION; PROSTATIC NEOPLASMS; RISK; RISK ASSESSMENT; SOCIOECONOMIC FACTORS; URBANIZATION;

EID: 0037050740     PISSN: 00207136     EISSN: None     Source Type: Journal    
DOI: 10.1002/ijc.10113     Document Type: Article

References (27)

1. Prostate cancer in Denmark: A 50-year population-based study
2. Recent cancer trends in the United States
3. Changes in prostate cancer incidence and treatment in USA
4. National trends in the epidemiology of prostate cancer, 1973 to 1994: Evidence for the effectiveness of prostate-specific antigen screening
5. Cancer surveillance series: Interpreting trends in prostate cancer - Part I: Evidence of the effects of screening in recent prostate cancer incidence, mortality, and survival rates
6. Striking increase in incidence of prostate cancer in men aged < 60 years without improvement in prognosis
7. Prostate cancer
8. Are oestrogens involved in falling sperm counts and disorders of the male reproductive tract?
9. Male reproductive health and environmental xenoestrogens
10. An updated review of environmental estrogen and androgen mimics and antagonists
11. Small Area Health Statistics Unit procedures for estimating populations in small areas
12. Testing for homogeneity. I. The binomial and multinomial distributions. II. The poisson distribution
13. Bayesian mapping of disease
14. Bayesian approaches to disease mapping
15. Bayesian image restoration, with application in spatial statistics with discussion
16. Bayesian measures of model complexity and fit
17. Information theory and an extension of the maximum likelihood principle
18. Cancer registration in England and Wales: Some aspects relevant to interpretation of the data
19. Accounting for inaccuracies in population counts and case registration in cancer mapping studies
20. Rising incidence of prostate cancer in Scotland: Increased risk or increased detection?
21. Spatial variation of natural radiation and childhood leukaemia incidence in Great Britain
22. Ecological regression analysis of environmental benzene exposure and childhood leukaemia: Sensitivity to data inaccuracies, geographical scale and ecological bias
23. Statistical issues in the analysis of disease mapping data
24. Socio-economic and lifestyle factors associated with the risk of prostate cancer
25. Changing relationship between socioeconomic status and prostate cancer incidence