Titlebook: Biostatistical Applications in Cancer Research; Craig Beam Book 2002 Springer Science+Business Media New York 2002 Survival analysis.cell.

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Models and the Early Detection of Disease: Methodological Considerations,symptoms. The motivation behind such efforts is that earlier detection, when combined with an effective therapy, will lead to enhanced benefit. The benefit is usually reflected in a higher cure rate or longer survival. In ordinary circumstances most cancers—especially solid tumors, are usually diagn

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Statistical Models for Screening: Planning Public Health Programs,e of models in considering the quantitative aspects of the early detection of disease. In this chapter, it will be assumed that clinical trials have established the benefit of early detection of disease and we will discuss the issues in bringing these benefits to widespread public health use.

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An Analysis of Gene Array Data Related to Cell Adhesion and Prostate Cancer,achment of prostate cells to their neighboring environment. The process of cell attachment is a very important process in cancer in general, and in prostate cancer in particular. Changes in cell attachment allow cells to move around the body, or metastasize, thereby causing the spread of cancer thro

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Spatial Analysis of Disease,thods. The goal of this chapter is to briefly review the progression of the spatial analysis of disease from simple dot maps and crude rate comparisons to the complex hierarchical spatial models used today. After providing a historical background and necessary epidemiologic fundamentals, we summariz

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,Spatial Analysis of Disease — Applications,ing chapter reviewed the history and theory of spatial statistics as applied to health data. This chapter provides examples of how this theory can be used in practice. Emphasis is placed on the tools and resources available to enable a statistical analyst to perform a spatial statistical analysis. B

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