Comments on "Cancer Mortality Rate"
نویسندگان
چکیده
منابع مشابه
mortality forecasting based on lee-carter model
over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...
15 صفحه اولComments on Some Parametric Models for Mortality Tables
t Parametric models for the entire age pattern of mortality have been suggested by Heligman and Pollard (1980) and Carriere (1992). The former is designed to fit the classical mortality pattern while the latter is supported by a statistical theory. Insights into their papers motivate us to consider a variation of the Heligman-Pollard model. We also apply these models to the 1993 Hong Kong Assur...
متن کاملSome Comments on Instability of False Discovery Rate Estimation
Some extended false discovery rate (FDR) controlling multiple testing procedures rely heavily on empirical estimates of the FDR constructed from gene expression data. Such estimates are also used as performance indicators when comparing different methods for microarray data analysis. The present communication shows that the variance of the proposed estimators may be intolerably high, the correl...
متن کاملAnother interpretation for the geographical gradient of cancer mortality rate
Introduction Many epidemiologic studies indicate that cancer mortality rate tends to increase at higher latitudes. One proposed hypothesis explaining this geographical gradient is that vitamin D, which is produced after exposure to solar radiation, has anti-carcinogenic effects. However, the association between solar radiation and cancer risk is not fully explained. The Hypothesis A number of r...
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ژورنال
عنوان ژورنال: Archives of General Psychiatry
سال: 1963
ISSN: 0003-990X
DOI: 10.1001/archpsyc.1963.01720140075012