Lingua: Inglese
Editore: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2009
ISBN 10: 3838319745 ISBN 13: 9783838319742
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 76.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2009
ISBN 10: 3838319745 ISBN 13: 9783838319742
Da: preigu, Osnabrück, Germania
EUR 43,30
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. CANCER, ARSENIC, MORTALITY AND THEIR RELATIONSHIP | RELATIONSHIP, MODEL, REGRESSION, PREDICTION AND ARSENIC IN WATER | Virendra Kumar Bharti (u. a.) | Taschenbuch | 76 S. | Englisch | 2009 | LAP LAMBERT Academic Publishing | EAN 9783838319742 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Okt 2009, 2009
ISBN 10: 3838319745 ISBN 13: 9783838319742
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 49,00
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - 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 (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. 76 pp. Englisch.
Lingua: Inglese
Editore: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2009
ISBN 10: 3838319745 ISBN 13: 9783838319742
Da: Majestic Books, Hounslow, Regno Unito
EUR 79,98
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. 76 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.
Lingua: Inglese
Editore: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2009
ISBN 10: 3838319745 ISBN 13: 9783838319742
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 79,78
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 76.
Lingua: Inglese
Editore: LAP Lambert Academic Publishing, 2009
ISBN 10: 3838319745 ISBN 13: 9783838319742
Da: moluna, Greven, Germania
EUR 41,05
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 c.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Okt 2009, 2009
ISBN 10: 3838319745 ISBN 13: 9783838319742
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 49,00
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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 (pVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch.