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Opis

Carcinogenesis is commonly described as a multistage §process. In a first step, a stem cell is transformed §via a series of mutations into an intermediate cell §having a growth advantage. Under favorable §conditions, such a cell will give rise to a clone of §initiated cells. At some point, further alterations §may transform a cell out of this clone into a §malignant tumor cell. A mechanistic model of this §process is given by the widely used two-stage clonal §expansion model. In this text, Sandro Gsteiger §studies how to introduce population heterogeneity §into this model. Mixture modeling, which allows to §describe frailty in a biologically meaningful way, §is used. First, the focus is on the theoretical §properties of the extended model. In particular §identifiability is discussed extensively. In a §second part, the model is fitted to human cancer §incidence data. A situation in which maximum §likelihood estimation fails is analyzed and §alternatives for statistical inference are §described. The applications show that good fits are §achieved only when the mixing distribution separates §the population clearly into a large virtually immune §group and into a small high risk group.

Szczegóły książki

Kategoria Książki po niemiecku Naturwissenschaften, Medizin, Informatik, Technik Mathematik Mathematik - Sonstiges

• Pełny tytuł: Heterogeneity in Multistage Carcinogenesis
• Podtytuł: A Mixture Modeling Approach
• Autor: Sandro Gsteiger
• Język: Niemiecki
• Oprawa: Miękka
• Liczba stron: 168
• EAN: 9783838105093
• ISBN: 3838105095
• ID: 06948738
• Wydawca: Sudwestdeutscher Verlag Fur Hochschulschriften AG
• Waga: 231 g
• Wymiary: 229 × 152 × 9 mm
• Data wydania: 01. April 2009

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