CANCER, ARSENIC, MORTALITY AND THEIR RELATIONSHIP: RELATIONSHIP, MODEL, REGRESSION, PREDICTION AND ARSENIC IN WATER - Couverture souple

Bharti, Virendra Kumar

 
9783838319742: CANCER, ARSENIC, MORTALITY AND THEIR RELATIONSHIP: RELATIONSHIP, MODEL, REGRESSION, PREDICTION AND ARSENIC IN WATER
Couverture souple
ISBN 10 : 3838319745 ISBN 13 : 9783838319742
Editeur : LAP Lambert Academic Publishing, 2009

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.

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Présentation de l'éditeur

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.

Biographie de l'auteur

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

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Éditeur
LAP Lambert Academic Publishing
Date d'édition
2009
Langue
anglais
ISBN 10 
3838319745
ISBN 13 
9783838319742
Reliure
Broché
Nombre de pages
76
Coordonnées du fabricant
non disponible
Personne responsable
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