Knee Arthroscopy

Arthroscopic procedures are a welcome alternative to total joint replacement and, with millions of procedures performed each year, the field of knee arthroscopy is rapidly advancing as instrumentation and applications are developed and refined. __Knee Arthroscopy__ is a technique-oriented "how-to" guide, written by internationally renowned authorities who present the latest advances in the field in a clear, step-by-step format. Chapters discuss issues such as meniscal transplantation, articular cartilage repair, anterior cruciate ligament treatment and other surgical procedures, and the text is supplemented throughout by case studies, clinical pearls and a wealth of illustrations. __Knee Arthroscopy__ is a comprehensive reference sure to be invaluable for anyone involved in care of the knee, from the general orthopedist to the most skilled knee surgeon.

Traditional texts in mathematical statistics can seem - to some readers-heavily weighted with optimality theory of the various flavors developed in the 1940s and50s, and not particularly relevant to statistical practice. Mathematical Statistics stands apart from these treatments. While mathematically rigorous, its focus is on providing a set of useful tools that allow students to understand the theoretical underpinnings of statistical methodology.

The author concentrates on inferential procedures within the framework of parametric models, but - acknowledging that models are often incorrectly specified - he also views estimation from a non-parametric perspective. Overall, Mathematical Statistics places greater emphasis on frequentist methodology than on Bayesian, but claims no particular superiority for that approach. It does emphasize, however, the utility of statistical and mathematical software packages, and includes several sections addressing computational issues.

The result reaches beyond nice mathematics to provide a balanced, practical text that brings life and relevance to a subject so often perceived as irrelevant and dry.

Booknews

This book breaks away from more theoretically burdensome texts, focusing on providing a set of useful tools that help readers understand the theoretical underpinnings of statistical methodology. Knight (statistics, U. of Toronto, Canada) emphasizes inferential procedures within the framework of parametric models and frequentist methodology, but also gives space to estimation from a non-parametric perspective and the Bayesian methods. Several sections also address computational issues, such as generating random variables, which are best suited for use with some type of statistical software. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Traditional texts in mathematical statistics can seem - to some readers-heavily weighted with optimality theory of the various flavors developed in the 1940s and50s, and not particularly relevant to statistical practice. Mathematical Statistics stands apart from these treatments. While mathematically rigorous, its focus is on providing a set of useful tools that allow students to understand the theoretical underpinnings of statistical methodology. The author concentrates on inferential procedures within the framework of parametric models, but - acknowledging that models are often incorrectly specified - he also views estimation from a non-parametric perspective. Overall, Mathematical Statistics places greater emphasis on frequentist methodology than on Bayesian, but claims no particular superiority for that approach. It does emphasize, however, the utility of statistical and mathematical software packages, and includes several sections addressing computational issues. The result reaches beyond "nice" mathematics to provide a balanced, practical text that brings life and relevance to a subject so often perceived as irrelevant and dry. Features Front Matter....Pages i-xiv Knee Arthroscopy: Technique and Normal Anatomy....Pages 1-10 Partial Meniscectomy....Pages 11-23 Meniscus Repair and Future Directions....Pages 25-40 Meniscal Allograft Transplantation....Pages 41-65 Arthroscopic Treatment of the Osteoarthritic Knee....Pages 67-77 Current Concepts in Articular Cartilage....Pages 79-111 Patellofemoral Disorders....Pages 113-127 Surgical Management of Anterior Cruciate Ligament Injuries....Pages 129-151 Posterior Cruciate Ligament and Posterolateral Corner Reconstruction....Pages 153-164 Arthrofibrosis and Synovial Lesions of the Knee....Pages 165-179 Arthroscopic Treatment of Knee Fractures....Pages 181-195 Back Matter....Pages 197-202 This book serves as a technique-oriented "how-to" guide to knee arthroscopy. Renowned authorities present advances in meniscal transplantation, articular cartilage repair, anterior cruciate ligament treatment and other procedures. Chapters are comprehensive, and readers are led step-by-step through techniques. Anatomy, indications, and complications for each approach are highlighted, and clinical pearls are featured throughout. Case studies facilitate the integration of concepts into practice. Orthopedic surgeons, orthopedic residents, and sports medicine physicians will find this thorough text invaluable. "Traditional texts in mathematical statistics can seem - to some readers - heavily weighted with optimality theory of the various flavours developed in the 1940s and 1950s, and not particularly relevant to statistical practice. Mathematical Statistics stands apart from these treatments. While mathematically rigorous, its focus is on providing a set of useful tools that allow readers to understand the theoretical underpinnings of statistical methodology."--BOOK JACKET. "The result is a balanced, practical text ideally suited for senior or graduate level studies in statistical theory."--BOOK JACKET. "Traditional texts in mathematical statistics can seem - to some readers - heavily weighted with optimality theory of the various flavours developed in the 1940s and 1950s, and not particularly relevant to statistical practice. Mathematical Statistics stands apart from these treatments. While mathematically rigorous, its focus is on providing a set of useful tools that allow readers to understand the theoretical underpinnings of statistical methodology." "The result is a balanced, practical text ideally suited for senior or graduate level studies in statistical theory."--Résumé de l'éditeur This book serves as a technique-oriented "how-to" guide to knee arthroscopy. Internationally renowned authorities present the latest advances in meniscal transplantation, articular cartilage repair, anterior cruciate ligament treatment and other surgical procedures. Chapters are comprehensive in scope, and readers are led step-by-step through techniques. Relevant anatomy, indications, and complications for each approach are highlighted, and clinical pearls are featured throughout. Case studies and a wealth of illustrations facilitate the integration of concepts into clinical practice In simple terms, a random experiment (or experiment) is a process whose outcome is uncertain.