Informed consent and clinician accountability : the ethics of report cards on surgeon performance / / edited by Steve Clarke, Justin Oakley [[electronic resource]]

• Record Nr.: UNINA9910451712203321
• Pubbl/distr/stampa: Cambridge : , : Cambridge University Press, , 2007
• ISBN: 1-107-17857-6; 1-281-08615-0; 9786611086152; 1-139-13210-5; 0-511-35098-8; 0-511-34922-X; 0-511-34825-8; 0-511-54546-0; 0-511-35008-2
• Descrizione fisica: 1 online resource (xii, 304 pages) : digital, PDF file(s)
• Disciplina: 174.297
• Soggetti: Surgeons - Rating of; Surgeons - Professional ethics; Informed consent (Medical law)
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Title from publisher's bibliographic system (viewed on 05 Oct 2015).
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Cover; Half-title; Title; Copyright; Contents; Contributors; Acknowledgements; Reference; Introduction: Accountability, informed consent and clinician performance information; Ethical arguments for reporting clinician performance information; Historical background to surgical outcomes reporting; Modern developments; Further issues in reporting surgeon performance information; Notes; References; Part I Accountability; Part introduction; 1 Clinician report cards and the limits of evidence-based patient choice; 2 Report cards for institutions, not individuals; 3 Safety, accountability, and 'choice' after the Bristol Inquiry4 Public reports: putting patients in the picture requires a new relationship ; between doctors and patients; 5 Adverse event disclosure: benefits and drawbacks for patients and clinicians; 6 Report cards and performance monitoring; Part II Informed consent; Part introduction; 7 Informed consent and surgeons' performance; 8 The value and practical limits of informed consent; 9 Against the informed consent argument for surgeon report cards; 10 Trust and the limits of knowledge; 11 Surgeons' report cards, heuristics, biases and informed consent12 Report cards, informed consent and market forces; Part III Reporting performance information; Part introduction; 13 Is the reporting of an individual surgeon's clinical performance doing more harm than good for patient care?; 14 Examining the link between publicly reporting healthcare quality and quality improvement; 15 Hospital and clinician performance data: what it can and cannot tell us; 16 An ethical analysis of the defensive surgery objection to individual surgeon report cards; 17 Surgeon report cards and the concept of defensive medicine18 Training, innovation and surgeons' report cards; 19 Doctors' report cards: a legal perspective; Index
• Sommario/riassunto: This timely book analyses and evaluates ethical and social implications of recent developments in reporting surgeon performance. It contains chapters by leading international specialists in philosophy, bioethics, epidemiology, medical administration, surgery, and law, demonstrating the diversity and complexity of debates about this topic, raising considerations of patient autonomy, accountability, justice, and the quality and safety of medical services. Performance information on individual cardiac surgeons has been publicly available in parts of the US for over a decade. Survival rates for individual cardiac surgeons in the UK have recently been released to the public. This trend is being driven by various factors, including concerns about accountability, patients' rights, quality and safety of medical care, and the need to avoid scandals in medical care. This trend is likely to extend to other countries, to other clinicians, and to professions beyond health care, making this text an essential addition to the literature available.

The spectral analysis of time series [[electronic resource] /] / Lambert H. Koopmans

• Record Nr.: UNINA9910458399803321
• Autore: Koopmans Lambert Herman <1930->
• Pubbl/distr/stampa: San Diego, : Academic Press, c1995
• ISBN: 1-281-74938-9; 9786611749385; 0-08-054156-9
• Edizione: [[2nd ed.].]
• Descrizione fisica: 1 online resource (385 p.)
• Collana: Probability and mathematical statistics ; ; v. 22
• Disciplina: 519.5/5; 519.55
• Soggetti: Spectral theory (Mathematics); Time-series analysis; Electronic books.
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references (p. 354-358) and index.
• Nota di contenuto: Front Cover; The Spectral Analysis of Time Series; Copyright Page; Contents; Preface; Acknowledgements; Preface to the Second Edition; Chapter 1. Preliminaries; 1.1 Introduction; 1.2 Time Series and Spectra; 1.3 Summary of Vector Space Geometry; 1.4 Some Probability Notations and Properties; Chapter 2. Models for Spectral Analysis-The Univariate Case; 2.1 Introduction; 2.2 The Wiener Theory of Spectral Analysis; 2.3 Stationary and Weakly Stationary Stochastic Processes; 2.4 The Spectral Representation for Weakly Stationary Stochastic Processes-A Special Case; 2.5 The General Spectral Representation for Weakly Stationary Processes2.6 The Discrete and Continuous Components of the Process; 2.7 Physical Realization of the Different Kinds of Spectra; 2.8 The Real Spectral Representation; 2.9 Ergodicity and the Connection between the Wiener and Stationary Process Theories; 2.10 Statistical Estimation of the Autocovariance and the Mean Ergodic Theorem; Appendix to Chapter 2; Chapter 3. Sampling, Aliasing, and Discrete-Time Models; 3.1 Introduction; 3.2 Sampling and the Aliasing Problem; 3.3 The Spectral Model for Discrete-Time Series; Chapter 4. Linear Filters-General Properties with Applications to Continuous-Time Processes4.1 Introduction; 4.2 Linear Filters; 4.3 Combining Linear Filters; 4.4 Inverting Linear Filters; 4.5 Nonstationary Processes Generated by Time Varying Linear Filters; Appendix to Chapter 4; Chapter 5. Multivariate Spectral Models and Their Applications; 5.1 Introduction; 5.2 The Spectrum of a Multivariate Time Series-Wiener Theory; 5.3 Multivariate Weakly Stationary Stochastic Processes; 5.4 Linear Filters for Multivariate Time Series; 5.5 The Bivariate Spectral Parameters, Their Intepretations and Uses5.6 The Multivariate Spectral Parameters, Their Interpretations and Uses; Appendix to Chapter 5; Chapter 6. Digital Filters; 6.1 Introduction; 6.2 General Properties of Digital Filters; 6.3 The Effect of Finite Data Length; 6.4 Digital Filters with Finitely Many Nonzero Weights; 6.5 Digital Filters Obtained by Combining Simple Filters; 6.6 Filters with Gapped Weights and Results Concerning the Filtering of Series with Polynomial Trends; Appendix to Chapter 6; Chapter 7. Finite Parameter Models, Linear Prediction, and Real-Time Filtering7.1 Introduction; 7.2 Moving Averages; 7.3 Autoregressive Processes; 7.4 The Linear Prediction Problem; 7.5 Mixed Autoregressive-Moving Average Processes and Recursive Prediction; 7.6 Linear Filtering in Real Time; Appendix to Chapter 7; Chapter 8. The Distribution Theory of Spectral Estimates with Applications to Statistical Inference; 8.1 Introduction; 8.2 Distribution of the Finite Fourier Transform and the Periodogram; 8.3 Distribution Theory for Univariate Spectral Estimators; 8.4 Distribution Theory for Multivariate Spectral Estimators with Applications to Statistical Inference
• Sommario/riassunto: To tailor time series models to a particular physical problem and to follow the working of various techniques for processing and analyzing data, one must understand the basic theory of spectral (frequency domain) analysis of time series. This classic book provides an introduction to the techniques and theories of spectral analysis of time series. In a discursive style, and with minimal dependence on mathematics, the book presents the geometric structure of spectral analysis. This approach makes possible useful, intuitive interpretations of important time series parameters and provides a unifi