The aim of this study was to develop the best possible method for providing estimates of relative risk for cancers by utilizing a multivariate approach through shared component model to produce specific and shared spatial patterns of cancer disease in Libya. The methodology in this study is statistical model to development to jointly analyze the spatial variation in rates of several cancers with their four spatial components without any conditions. The data for incidence of breast, lung, prostate, bladder, stomach, colon and liver in Libya districts, were used in this study. Four risk factors representing smoking, low physical activity, overweight and alcohol consumption were considered. A general framework for jointly modelling the variation of seven cancers, some of which share latent spatial fields, is considered. Finally, a new Multivariate Shared Component model is successfully developed. The procedure for predicting relative risks based on the model is presented in ord.....

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