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- W4240935257 abstract "Historically, the most influential development in Biostatistics for cancer research is the Mantel–Haenszel estimate. This has contributed massively not only to relative risk estimation in cancer epidemiology, but also to survival analysis in clinical trials of cancer therapies. It has to some extent been superseded by generalized linear models, notably logistic and Poisson regression, in epidemiology, and with Cox regression in survival analysis in recent years. The likely biostatistical developments for the future are likely to be aimed at evaluation of interventions for prevention, early detection, and genetic oncology. Methods for rapid evaluation and modeling of the disease process will be of some relevance. Bayesian estimation techniques such as Markov Chain Monte Carlo are likely to play a major part." @default.
- W4240935257 created "2022-05-12" @default.
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- W4240935257 date "2014-09-29" @default.
- W4240935257 modified "2023-09-26" @default.
- W4240935257 title "Oncology" @default.
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- W4240935257 doi "https://doi.org/10.1002/9781118445112.stat05579" @default.
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