Zusatztext "? the style of the authors makes for dynamic reading: the reader feels a part of the scientific endeavor which is almost like solving a mystery. This book will be fun to read and useful in practice?"-William F. Rosenberger! University of Maryland"The book presents fascinating insight into the consultant statistician/clinician interaction. It is beautifully written and the style of motivating theory by extended real examples is very effective. It is not in the usual mould of the book on medical statistics: the order of the exposition brings medicine to the fore for example. The clinical examples are clearly described. The Bayesian approach is gently introduced; there is nothing doctrinaire about it! the experience of the individual patient is considered through predictive probabilities. ? this text looks like a classic in the making; I am not aware of a comparable book. It should be accessible to the more statistically aware physician whilst being of interest to the medical statistician! especially those involved in consulting. I would certainly recommend it to many of my clinical consultees. It should be a standard text held by medical school libraries and medical institutes."-Peter W. Jones! Keele University Informationen zum Autor John Aitchison, Jim W. Kay, Ian J. Lauder Klappentext Statistical Concepts and Applications in Clinical Medicine presents a unique! problem-oriented approach to using statistical methods in clinical medical practice through each stage of the clinical process! including observation! diagnosis! and treatment. The authors present each consultative problem in its original form! then describe the process of problem formulation! develop the appropriate statistical models! and interpret the statistical analysis in the context of the real problem. Their treatment provides clear! accessible explanations of statistical methods. The text includes end-of-chapter exercises that help develop formulatory! analytic! and interpretative skills. Zusammenfassung Statistical Concepts and Applications in Clinical Medicine presents a unique! problem-oriented approach to using statistical methods in clinical medical practice through each stage of the clinical process! including observation! diagnosis! and treatment. The authors present each consultative problem in its original form! then describe the process of problem formulation! develop the appropriate statistical models! and interpret the statistical analysis in the context of the real problem. Their treatment provides clear! accessible explanations of statistical methods. The text includes end-of-chapter exercises that help develop formulatory! analytic! and interpretative skills. Inhaltsverzeichnis Preface. The Field of Application. Relating the Present Patient to Past Experience. A Review of Statistical Methodology. Further Statistical Methodology. Experience. Observation and Measurement. Indirect Measurement: Assay and Calibration. Diagnosis. Special Aspects of Diagnosis. Prognosis. Assessment. Data Sets and Software. References. Author Index. Subject Index....

Autorentext
John Aitchison, Jim W. Kay, Ian J. Lauder

Klappentext

Statistical Concepts and Applications in Clinical Medicine presents a unique, problem-oriented approach to using statistical methods in clinical medical practice through each stage of the clinical process, including observation, diagnosis, and treatment. The authors present each consultative problem in its original form, then describe the process of problem formulation, develop the appropriate statistical models, and interpret the statistical analysis in the context of the real problem. Their treatment provides clear, accessible explanations of statistical methods. The text includes end-of-chapter exercises that help develop formulatory, analytic, and interpretative skills.

Zusammenfassung
Presents a problem-oriented approach to using statistical methods in clinical medical practice through each stage of the clinical process. This book describes the process of problem formulation, develop the appropriate statistical models, and interpret the statistical analysis in the context of the real problem.

Inhalt
Preface. The Field of Application. Relating the Present Patient to Past Experience. A Review of Statistical Methodology. Further Statistical Methodology. Experience. Observation and Measurement. Indirect Measurement: Assay and Calibration. Diagnosis. Special Aspects of Diagnosis. Prognosis. Assessment. Data Sets and Software. References. Author Index. Subject Index.