Identified Versus Statistical Lives

Identified Versus Statistical Lives PDF Author: I. Glenn Cohen
Publisher:
ISBN: 9780190217488
Category : Empathy
Languages : en
Pages : 227

Get Book Here

Book Description
Human beings show a greater inclination to assist (and avoid harming) persons and groups identified as those at high risk of great harm than to assist (and avoid harming) persons and groups who will suffer (or already suffer) similar harm but are not identified (as yet). The problem touches almost every aspect of human life and politics: health, the environment, the law. This volume is the first book to tackle the effect from all necessary perspectives.

Identified Versus Statistical Lives

Identified Versus Statistical Lives PDF Author: I. Glenn Cohen
Publisher:
ISBN: 9780190217488
Category : Empathy
Languages : en
Pages : 227

Get Book Here

Book Description
Human beings show a greater inclination to assist (and avoid harming) persons and groups identified as those at high risk of great harm than to assist (and avoid harming) persons and groups who will suffer (or already suffer) similar harm but are not identified (as yet). The problem touches almost every aspect of human life and politics: health, the environment, the law. This volume is the first book to tackle the effect from all necessary perspectives.

Identified Versus Statistical Lives

Identified Versus Statistical Lives PDF Author: I. Glenn Cohen
Publisher:
ISBN: 0190217472
Category : Medical
Languages : en
Pages : 241

Get Book Here

Book Description
The identified lives effect describes the fact that people demonstrate a stronger inclination to assist persons and groups identified as at high risk of great harm than those who will or already suffer similar harm, but endure unidentified. As a result of this effect, we allocate resources reactively rather than proactively, prioritizing treatment over prevention. For example, during the August 2010 gold mine cave-in in Chile, where ten to twenty million dollars was spent by the Chilean government to rescue the 33 miners trapped underground. Rather than address the many, more cost effective mine safety measures that should have been implemented, the Chilean government and international donors concentrated efforts in large-scale missions that concerned only the specific group. Such bias as illustrated through this incident raises practical and ethical questions that extend to almost every aspect of human life and politics. What can social and cognitive sciences teach us about the origin and triggers of the effect? Philosophically and ethically, is the effect a "bias" to be eliminated or is it morally justified? What implications does the effect have for health care, law, the environment and other practice domains? This volume is the first to take an interdisciplinary approach toward answering this issue of identified versus statistical lives by considering a variety of perspectives from psychology, public health, law, ethics, and public policy.

Identified versus Statistical Lives

Identified versus Statistical Lives PDF Author: I. Glenn Cohen
Publisher: Oxford University Press
ISBN: 0190217502
Category : Medical
Languages : en
Pages : 241

Get Book Here

Book Description
The identified lives effect describes the fact that people demonstrate a stronger inclination to assist persons and groups identified as at high risk of great harm than those who will or already suffer similar harm, but endure unidentified. As a result of this effect, we allocate resources reactively rather than proactively, prioritizing treatment over prevention. For example, during the August 2010 gold mine cave-in in Chile, where ten to twenty million dollars was spent by the Chilean government to rescue the 33 miners trapped underground. Rather than address the many, more cost effective mine safety measures that should have been implemented, the Chilean government and international donors concentrated efforts in large-scale missions that concerned only the specific group. Such bias as illustrated through this incident raises practical and ethical questions that extend to almost every aspect of human life and politics. What can social and cognitive sciences teach us about the origin and triggers of the effect? Philosophically and ethically, is the effect a "bias" to be eliminated or is it morally justified? What implications does the effect have for health care, law, the environment and other practice domains? This volume is the first to take an interdisciplinary approach toward answering this issue of identified versus statistical lives by considering a variety of perspectives from psychology, public health, law, ethics, and public policy.

Statistical Vs. Identified Lives in Benefit-cost Analys

Statistical Vs. Identified Lives in Benefit-cost Analys PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

Get Book Here

Book Description


Statistical Power Analysis for the Behavioral Sciences

Statistical Power Analysis for the Behavioral Sciences PDF Author: Jacob Cohen
Publisher: Routledge
ISBN: 1134742770
Category : Psychology
Languages : en
Pages : 625

Get Book Here

Book Description
Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and; * expanded power and sample size tables for multiple regression/correlation.

The Cult of Statistical Significance

The Cult of Statistical Significance PDF Author: Stephen Thomas Ziliak
Publisher: University of Michigan Press
ISBN: 0472050079
Category : Business & Economics
Languages : en
Pages : 349

Get Book Here

Book Description
How the most important statistical method used in many of the sciences doesn't pass the test for basic common sense

Sharing Clinical Trial Data

Sharing Clinical Trial Data PDF Author: Institute of Medicine
Publisher: National Academies Press
ISBN: 0309316324
Category : Medical
Languages : en
Pages : 236

Get Book Here

Book Description
Data sharing can accelerate new discoveries by avoiding duplicative trials, stimulating new ideas for research, and enabling the maximal scientific knowledge and benefits to be gained from the efforts of clinical trial participants and investigators. At the same time, sharing clinical trial data presents risks, burdens, and challenges. These include the need to protect the privacy and honor the consent of clinical trial participants; safeguard the legitimate economic interests of sponsors; and guard against invalid secondary analyses, which could undermine trust in clinical trials or otherwise harm public health. Sharing Clinical Trial Data presents activities and strategies for the responsible sharing of clinical trial data. With the goal of increasing scientific knowledge to lead to better therapies for patients, this book identifies guiding principles and makes recommendations to maximize the benefits and minimize risks. This report offers guidance on the types of clinical trial data available at different points in the process, the points in the process at which each type of data should be shared, methods for sharing data, what groups should have access to data, and future knowledge and infrastructure needs. Responsible sharing of clinical trial data will allow other investigators to replicate published findings and carry out additional analyses, strengthen the evidence base for regulatory and clinical decisions, and increase the scientific knowledge gained from investments by the funders of clinical trials. The recommendations of Sharing Clinical Trial Data will be useful both now and well into the future as improved sharing of data leads to a stronger evidence base for treatment. This book will be of interest to stakeholders across the spectrum of research-from funders, to researchers, to journals, to physicians, and ultimately, to patients.

Pricing Lives

Pricing Lives PDF Author: W. Kip Viscusi
Publisher: Princeton University Press
ISBN: 069120859X
Category : Business & Economics
Languages : en
Pages : 289

Get Book Here

Book Description
How society’s undervaluing of life puts all of us at risk—and the groundbreaking economic measure that can fix it Like it or not, sometimes we need to put a monetary value on people's lives. In the past, government agencies used the financial "cost of death" to monetize the mortality risks of regulatory policies, but this method vastly undervalued life. Pricing Lives tells the story of how the government came to adopt an altogether different approach--the value of a statistical life, or VSL—and persuasively shows how its more widespread use could create a safer and more equitable society for everyone. In the 1980s, W. Kip Viscusi used the method to demonstrate that the benefits of requiring businesses to label hazardous chemicals immensely outweighed the costs. VSL is the risk-reward trade-off that people make about their health when considering risky job choices. With it, Viscusi calculated how much more money workers would demand to take on hazardous jobs, boosting calculated benefits by an order of magnitude. His current estimate of the value of a statistical life is $10 million. In this book, Viscusi provides a comprehensive look at all aspects of economic and policy efforts to price lives, including controversial topics such as whether older people's lives are worth less and richer people's lives are worth more. He explains why corporations need to abandon the misguided cost-of-death approach, how the courts can profit from increased application of VSL in assessing liability and setting damages, and how other countries consistently undervalue risks to life. Pricing Lives proposes sensible economic guideposts to foster more protective policies and greater levels of safety in the United States and throughout the world.

Communities in Action

Communities in Action PDF Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309452961
Category : Medical
Languages : en
Pages : 583

Get Book Here

Book Description
In the United States, some populations suffer from far greater disparities in health than others. Those disparities are caused not only by fundamental differences in health status across segments of the population, but also because of inequities in factors that impact health status, so-called determinants of health. Only part of an individual's health status depends on his or her behavior and choice; community-wide problems like poverty, unemployment, poor education, inadequate housing, poor public transportation, interpersonal violence, and decaying neighborhoods also contribute to health inequities, as well as the historic and ongoing interplay of structures, policies, and norms that shape lives. When these factors are not optimal in a community, it does not mean they are intractable: such inequities can be mitigated by social policies that can shape health in powerful ways. Communities in Action: Pathways to Health Equity seeks to delineate the causes of and the solutions to health inequities in the United States. This report focuses on what communities can do to promote health equity, what actions are needed by the many and varied stakeholders that are part of communities or support them, as well as the root causes and structural barriers that need to be overcome.

Statistical Inference as Severe Testing

Statistical Inference as Severe Testing PDF Author: Deborah G. Mayo
Publisher: Cambridge University Press
ISBN: 1108563309
Category : Mathematics
Languages : en
Pages : 503

Get Book Here

Book Description
Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.