Predicting the future burden of cancer

被引:336
作者
Bray, F [1 ]
Moller, B [1 ]
机构
[1] Canc Registry Norway, Inst Populat Based Res, N-0310 Oslo, Norway
关键词
D O I
10.1038/nrc1781
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
As observations in the past do not necessarily hold into the future, predicting future cancer occurrence is fraught with uncertainty. Nevertheless, predictions can aid health planners in allocating resources and allow scientists to explore the consequence of interventions aimed at reducing the impact of cancer. Simple statistical models have been refined over the past few decades and often provide reasonable predictions when applied to recent trends. Intrinsic to their interpretation, however, is an understanding of the forces that drive time trends. We explain how and why cancer predictions are made, with examples to illustrate the concepts in practice.
引用
收藏
页码:63 / 74
页数:12
相关论文
共 84 条
[1]  
ANDVORD K. F., 1930, Norsk Magazin for Laegevidenskaben, V91, P642
[2]  
[Anonymous], POL FRAM COMM CANC S
[3]  
Anttila A, 1999, INT J CANCER, V83, P59, DOI 10.1002/(SICI)1097-0215(19990924)83:1<59::AID-IJC12>3.0.CO
[4]  
2-N
[5]   THE AGE DISTRIBUTION OF CANCER AND A MULTI-STAGE THEORY OF CARCINOGENESIS [J].
ARMITAGE, P ;
DOLL, R .
BRITISH JOURNAL OF CANCER, 1954, 8 (01) :1-12
[6]   THE ROLE OF THE CANCER REGISTRY IN CANCER CONTROL [J].
ARMSTRONG, BK .
CANCER CAUSES & CONTROL, 1992, 3 (06) :569-579
[7]   PROGRESS AGAINST CANCER [J].
BAILAR, JC ;
SMITH, EM .
NEW ENGLAND JOURNAL OF MEDICINE, 1986, 314 (19) :1226-1232
[8]  
Bashir S A, 2001, J Epidemiol Biostat, V6, P287, DOI 10.1080/135952201317080698
[9]  
BERRY G, 1991, BRIT J IND MED, V48, P793
[10]   BAYESIAN-ANALYSIS OF SURVIVAL ON MULTIPLE TIME SCALES [J].
BERZUINI, C ;
CLAYTON, D .
STATISTICS IN MEDICINE, 1994, 13 (08) :823-838