{"product_id":"regression-methods-for-medical-research-isbn-9781444331448","title":"Regression Methods for Medical Research","description":"\u003cp\u003e\u003ci\u003eRegression Methods for Medical Research\u003c\/i\u003e provides medical researchers with the skills they need to critically read and interpret research using more advanced statistical methods. The statistical requirements of interpreting and publishing in medical journals, together with rapid changes in science and technology, increasingly demands an understanding of more complex and sophisticated analytic procedures.\u003cbr\u003e\u003cbr\u003eThe text explains the application of statistical models to a wide variety of practical medical investigative studies and clinical trials. Regression methods are used to appropriately answer the key design questions posed and in so doing take due account of any effects of potentially influencing co-variables. It begins with a revision of basic statistical concepts, followed by a gentle introduction to the principles of statistical modelling. The various methods of modelling are covered in a non-technical manner so that the principles can be more easily applied in everyday practice. A chapter contrasting regression modelling with a regression tree approach is included. The emphasis is on the understanding and the application of concepts and methods. Data drawn from published studies are used to exemplify statistical concepts throughout.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eRegression Methods for Medical Research\u003c\/i\u003e is especially designed for clinicians, public health and environmental health professionals, para-medical research professionals, scientists, laboratory-based researchers and students.\u003c\/p\u003e \u003cp\u003ePreface viii\u003c\/p\u003e \u003cp\u003e1 Introduction 1\u003c\/p\u003e \u003cp\u003e2 Linear regression: practical issues 25\u003c\/p\u003e \u003cp\u003e3 Multiple linear regression 43\u003c\/p\u003e \u003cp\u003e4 Logistic Regression 64\u003c\/p\u003e \u003cp\u003e5 P oisson Regression 98\u003c\/p\u003e \u003cp\u003e6 Time-to-Event Regression 120\u003c\/p\u003e \u003cp\u003e7 Model Building 146\u003c\/p\u003e \u003cp\u003e8 Repeated Measures 176\u003c\/p\u003e \u003cp\u003e9 Regression Trees 204\u003c\/p\u003e \u003cp\u003e10 Further Time-to-Event Models 236\u003c\/p\u003e \u003cp\u003e11 Further Topics 269\u003c\/p\u003e \u003cp\u003eStatistical Tables 285\u003c\/p\u003e \u003cp\u003eReferences 294\u003c\/p\u003e \u003cp\u003eIndex 298\u003c\/p\u003e \u003cp\u003eBee-Choo Tai\u003cb\u003e, \u003c\/b\u003eSaw Swee Hock School of Public Health, National University of Singapore, and National University Health System; and Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore\u003c\/p\u003e \u003cp\u003eDavid Machin, Medical Statistics Unit, School of Health and Related Sciences, University of Sheffield; and Cancer Studies, Faculty of Medicine, University of Leicester, UK\u003c\/p\u003e \u003cp\u003e\u003ci\u003eRegression Methods for Medical Research\u003c\/i\u003e provides medical researchers with the skills they need to critically read and interpret research using more advanced statistical methods. The statistical requirements of interpreting and publishing in medical journals, together with rapid changes in science and technology, increasingly demands an understanding of more complex and sophisticated analytic procedures.\u003cbr\u003e\u003cbr\u003eThe text explains the application of statistical models to a wide variety of practical medical investigative studies and clinical trials. Regression methods are used to appropriately answer the key design questions posed and in so doing take due account of any effects of potentially influencing co-variables. It begins with a revision of basic statistical concepts, followed by a gentle introduction to the principles of statistical modelling. The various methods of modelling are covered in a non-technical manner so that the principles can be more easily applied in everyday practice. A chapter contrasting regression modelling with a regression tree approach is included. The emphasis is on the understanding and the application of concepts and methods. Data drawn from published studies are used to exemplify statistical concepts throughout.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eRegression Methods for Medical Research\u003c\/i\u003e is especially designed for clinicians, public health and environmental health professionals, para-medical research professionals, scientists, laboratory-based researchers and students.\u003c\/p\u003e","brand":"Wiley-Blackwell","offers":[{"title":"Default Title","offer_id":47989930492133,"sku":"NP9781444331448","price":72.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781444331448.jpg?v=1761785949","url":"https:\/\/k12savings.com\/products\/regression-methods-for-medical-research-isbn-9781444331448","provider":"K12savings","version":"1.0","type":"link"}