CANCER, ARSENIC, MORTALITY AND THEIR RELATIONSHIP

Virendra Kumar Bharti

ISBN 10: 3838319745 / ISBN 13: 9783838319742

Published by LAP LAMBERT Academic Publishing Okt 2009, 2009

About this Item

Neuware -Arsenic is a natural element found in the environment in organic and inorganic form. The inorganic form is much more toxic and is found in ground water, surface water and many foods. This form is responsible for many adverse health effects like cancer and cardiovascular and neurological effects. Present work is based on the available mortality data on lung, bladder and liver cancer. The purpose of the study is to see the effect of various predictors like Gender, Cancer Type (Lung, Liver and Bladder), Arsenic Concentration (High, Medium and low), Age and Person Years on Mortality. We take a model-based approach to analyze this data. Three regression techniques: Logistic, Poisson and Negative Binomial Models are used to assess the effect of these explanatory variables on the response or dependent variable. The major finding of the study is that either all or most of the categories of the predictors are significantly associated with the mortality. The logistic model finds Age as the only significant predictor (pBooks on Demand GmbH, Überseering 33, 22297 Hamburg 76 pp. Englisch.

Seller Inventory # 9783838319742

Bibliographic Details

• Title: CANCER, ARSENIC, MORTALITY AND THEIR RELATIONSHIP
• Publisher: LAP LAMBERT Academic Publishing Okt 2009
• Publication Date: 2009
• Language: English
• ISBN 10: 3838319745
• ISBN 13: 9783838319742
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 5D millimeters 220 millimeters width by 150 millimeters height by 5 millimeters depth
• Weight: 131 grams

About this title

Synopsis

Arsenic is a natural element found in the environment in organic and inorganic form. The inorganic form is much more toxic and is found in ground water, surface water and many foods. This form is responsible for many adverse health effects like cancer and cardiovascular and neurological effects. Present work is based on the available mortality data on lung, bladder and liver cancer. The purpose of the study is to see the effect of various predictors like Gender, Cancer Type (Lung, Liver and Bladder), Arsenic Concentration (High, Medium and low), Age and Person Years on Mortality. We take a model-based approach to analyze this data. Three regression techniques: Logistic, Poisson and Negative Binomial Models are used to assess the effect of these explanatory variables on the response or dependent variable. The major finding of the study is that either all or most of the categories of the predictors are significantly associated with the mortality. The logistic model finds Age as the only significant predictor (p < .0001). The models for the actual frequency counts like Poisson Regression and Negative Binomial find all the five predictors significantly associated with the mortality.

About the Author

Dr VIRENDRA KUMAR BHARTI BORN: Hainsar Bazar, UP, India; STUDY: Stats, Management and Computers; DEGREES: MSc (Stats) PhD (Stats), MBA, MSc (Info Sci); UNIV: Pantnager U, India, Carleton U, Canada; EXPR: Professor, Researcher, and Statistician; CURR POSITION: Sen Statistician, Ont. Govt., Canada; OTH: Poet, Sportsman, Comm Leader, Yoga Teacher