Synopsis
This book 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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Michael Korvink serves as Principal, Thought Leadership at Premier, Inc. and is a member of the graduate teaching faculty in the Public Health Sciences department at the University of North Carolina (UNC) at Charlotte. In his current role at Premier, Michael is responsible for collaborative research across health systems, academic institutions, and government agencies. Michael has over 20 years of experience in the healthcare and pharmaceutical industry, and publishes regularly on research methods related to quality, safety, and efficiency of care. Michael holds a Master of Arts from UNC Charlotte, is a Professional Accredited Statistician (PStat) through the American Statistical Association, and is pursuing a doctorate in public health at the Medical College of Wisconsin's Institute for Health and Equity.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Autres éditions populaires du même titre
Résultats de recherche pour Practical Healthcare Statistics with Examples in Python...
Image d'archives
Practical Healthcare Statistics with Examples in Python and R (Hardcover)
Edité par
Taylor & Francis Ltd, London, 2025
ISBN 10 : 1041004230
ISBN 13 : 9781041004233
Neuf
Couverture rigide
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : new. Hardcover. 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. This book 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781041004233
Acheter neuf
EUR 164,91
Livraison gratuite
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : 1 disponible(s)
Image d'archives
Practical Healthcare Statistics With Examples in Python and R : A Guide for the Uninitiated
Edité par
Chapman and Hall/CRC, 2025
ISBN 10 : 1041004230
ISBN 13 : 9781041004233
Ancien ou d'occasion
Couverture rigide
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 49811591
Acheter D'occasion
EUR 196,02
Expédition à EUR 2,27
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : 10 disponible(s)
Image d'archives
Practical Healthcare Statistics with Examples in Python and R (Hardcover)
Edité par
Taylor & Francis Ltd, London, 2025
ISBN 10 : 1041004230
ISBN 13 : 9781041004233
Neuf
Couverture rigide
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : new. Hardcover. 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. This book 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781041004233
Acheter neuf
EUR 160,57
Expédition à EUR 42,41
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
Quantité disponible : 1 disponible(s)
Image d'archives
Practical Healthcare Statistics With Examples in Python and R : A Guide for the Uninitiated
Edité par
Chapman and Hall/CRC, 2025
ISBN 10 : 1041004230
ISBN 13 : 9781041004233
Neuf
Couverture rigide
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur 49811591-n
Acheter neuf
EUR 207,73
Expédition à EUR 2,27
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : 10 disponible(s)
Image d'archives
Practical Healthcare Statistics With Examples in Python and R : A Guide for the Uninitiated
Edité par
Chapman and Hall/CRC, 2025
ISBN 10 : 1041004230
ISBN 13 : 9781041004233
Ancien ou d'occasion
Couverture rigide
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 49811591
Acheter D'occasion
EUR 195,89
Expédition à EUR 17,20
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
Quantité disponible : 10 disponible(s)
Image d'archives
Practical Healthcare Statistics with Examples in Python and R: A Guide for the Uninitiated
Edité par
Chapman and Hall/CRC, 2025
ISBN 10 : 1041004230
ISBN 13 : 9781041004233
Neuf
Couverture rigide
Vendeur : Majestic Books, Hounslow, Royaume-Uni
Évaluation du vendeur 4 sur 5 étoiles
Etat : New. N° de réf. du vendeur 409326920
Acheter neuf
EUR 207,43
Expédition à EUR 7,45
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
Quantité disponible : 3 disponible(s)
Image fournie par le vendeur
Practical Healthcare Statistics with Examples in Python and R
impression à la demandeVendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Michael Korvink serves as Principal, Thought Leadership at Premier, Inc. and is a member of the graduate teaching faculty in the Public Health Sciences department at the University of North Carolina (UNC) at Charlotte. In his current rol. N° de réf. du vendeur 2170344671
Acheter neuf
EUR 168,11
Expédition à EUR 48,99
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image d'archives
Practical Healthcare Statistics With Examples in Python and R : A Guide for the Uninitiated
Edité par
Chapman and Hall/CRC, 2025
ISBN 10 : 1041004230
ISBN 13 : 9781041004233
Neuf
Couverture rigide
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur 49811591-n
Acheter neuf
EUR 203,74
Expédition à EUR 17,20
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
Quantité disponible : 10 disponible(s)
Image d'archives
Practical Healthcare Statistics with Examples in Python and R: A Guide for the Uninitiated
Edité par
Chapman and Hall/CRC, 2025
ISBN 10 : 1041004230
ISBN 13 : 9781041004233
Neuf
Couverture rigide
Vendeur : Books Puddle, New York, NY, Etats-Unis
Évaluation du vendeur 4 sur 5 étoiles
Etat : New. 1st edition NO-PA16APR2015-KAP. N° de réf. du vendeur 26403860119
Acheter neuf
EUR 222,88
Expédition à EUR 3,43
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : 3 disponible(s)
Image d'archives
Practical Healthcare Statistics with Examples in Python and R
impression à la demandeVendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
HRD. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L1-9781041004233
Acheter neuf
EUR 226,88
Expédition à EUR 4,77
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
Quantité disponible : Plus de 20 disponibles