{"title":"Michael Korvink","description":null,"products":[{"product_id":"indus-script-a-positional-statistical-approach-book-michael-korvink-9780615182391","title":"The Indus Script: A Positional-Statistical Approach","description":"Since the discovery of the Indus Civilization, the meaning of the enigmatic Indus script remains hidden in its four hundred characters. While many would-be-decipherers have attempted to unravel its meaning with the aid of a presumed underlying language, none of these attempts has proven successful. In response, the approach taken in this work does not preclude an underlying language, but offers an alternate approach where the positional patterns of the Indus signs are investigated in an attempt to segment the character strings. Michael Korvink is a former instructor of International Studies at The University of North Carolina at Charlotte, and now works in the private sector.","brand":"WoB","offers":[{"title":"US \/ NEW \/ INGRAM","offer_id":51102086005009,"sku":"NIN9780615182391","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/B002ACF4DY.jpg?v=1751008977"},{"product_id":"practical-healthcare-statistics-with-examples-in-python-and-r-book-michael-korvink-9781041001416","title":"Practical Healthcare Statistics with Examples in Python and R","description":"Practical Healthcare Statistics with Examples in Python and R provides a clear and straightforward introduction to statistical methods in healthcare. Designed for recent graduates, new analysts, and professionals transitioning into healthcare analytics, it offers practical guidance on tackling real-world problems using statistical concepts and programming.   The book is divided into three primary sections. The first section provides an introduction to healthcare data and measures. In these chapters, readers will learn about the nuances of administrative claims and electronic health records, as well as common industry measures related to quality and efficiency of care. The second section will cover foundational techniques, such as hypothesis testing and regression analysis, as well as more advanced approaches, like generalized additive models and hierarchical models. In the last section, readers will be introduced to epidemiological techniques such as direct and indirect standardization, measures of disease frequency and association, and time-to-event analysis.  The book emphasizes interpretable methods that are both effective and easy to communicate to clinical and non-technical stakeholders. Each technique presented in the book is accompanied by statistical notation described in plain English, as well as a self-contained example implemented in both Python and R. These examples help readers connect statistical methods to real healthcare scenarios without requiring extensive programming experience. By working through these examples, readers will build technical skills and a practical understanding of how to analyze healthcare data.  These methods are not only central to improving patient care but are also adaptable to other areas within and beyond healthcare. This book is a practical resource for analysts, data scientists, health researchers, and others looking to make informed, data-driven decisions in healthcare.","brand":"WoB","offers":[{"title":"- \/ - \/ -","offer_id":51598393704721,"sku":"","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ GARDNERS","offer_id":51598393999633,"sku":"NGR9781041001416","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ INGRAM","offer_id":52593421713681,"sku":"NLS9781041001416","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":53333768700177,"sku":"NIN9781041001416","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ GOOD \/ SBYB","offer_id":53650683396369,"sku":"CIN104100141XG","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/104100141X.jpg?v=1752143934"},{"product_id":"practical-healthcare-statistics-with-examples-in-python-and-r-book-michael-korvink-9781041004233","title":"Practical Healthcare Statistics with Examples in Python and R","description":"Practical Healthcare Statistics with Examples in Python and R provides a clear and straightforward introduction to statistical methods in healthcare. Designed for recent graduates, new analysts, and professionals transitioning into healthcare analytics, it offers practical guidance on tackling real-world problems using statistical concepts and programming.   The book is divided into three primary sections. The first section provides an introduction to healthcare data and measures. In these chapters, readers will learn about the nuances of administrative claims and electronic health records, as well as common industry measures related to quality and efficiency of care. The second section will cover foundational techniques, such as hypothesis testing and regression analysis, as well as more advanced approaches, like generalized additive models and hierarchical models. In the last section, readers will be introduced to epidemiological techniques such as direct and indirect standardization, measures of disease frequency and association, and time-to-event analysis.  The book emphasizes interpretable methods that are both effective and easy to communicate to clinical and non-technical stakeholders. Each technique presented in the book is accompanied by statistical notation described in plain English, as well as a self-contained example implemented in both Python and R. These examples help readers connect statistical methods to real healthcare scenarios without requiring extensive programming experience. By working through these examples, readers will build technical skills and a practical understanding of how to analyze healthcare data.  These methods are not only central to improving patient care but are also adaptable to other areas within and beyond healthcare. This book is a practical resource for analysts, data scientists, health researchers, and others looking to make informed, data-driven decisions in healthcare.","brand":"WoB","offers":[{"title":"- \/ - \/ -","offer_id":51598429126929,"sku":"","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ GARDNERS","offer_id":51598429520145,"sku":"NGR9781041004233","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ INGRAM","offer_id":52593751654673,"sku":"NLS9781041004233","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1041004230.jpg?v=1751465819"}],"url":"https:\/\/www.worldofbooks.com\/en-gb\/collections\/author-books-by-michael-korvink.oembed","provider":"World of Books ","version":"1.0","type":"link"}