Charles F. Manski – författare

This study is an important first step in the development of a national policy on illegal drugs. It assesses two recent cost-effectiveness studies on cocaine control policy: one by RAND, Controlling Cocaine: Supply Versus Demand Programs, and the other by the Institute of Defense Analyses, An Empirical Examination of Counterdrug Interdiction Program Effectiveness.

This report was prepared in response to a request from the Economic Research Service (ERS) of the U.S. Department of Agriculture (USDA). It summarizes the discussions at a February 1998 workshop convened by the Committee on National Statistics; the Board on Children, Youth, and Families; and the Food and Nutrition Board.

The fiscal year 1998 (FY1998) appropriations bill for USDA gave ERS responsibility for all research and evaluation studies on USDA food assistance programs. The bill provided $18 million to fund these studies, an increase from $7 million in FY1997. ERS asked the Committee on National Statistics for assistance in identifying new areas of research and data collection and in further improving the evaluation studies of food assistance programs. By bringing together many who work on evaluation of food assistance programs, policy analysis, survey methods, nutrition, child nutrition and child development, outcome measurement, and state welfare programs, the issues presented and discussed at the workshop provided ERS with information that could be used to develop a framework for their research program.

This report was prepared in response to a request from the Economic Research Service (ERS) of the U.S. Department of Agriculture (USDA). It summarizes the discussions at a February 1998 workshop convened by the Committee on National Statistics; the Board on Children, Youth, and Families; and the Food and Nutrition Board.

The fiscal year 1998 (FY1998) appropriations bill for USDA gave ERS responsibility for all research and evaluation studies on USDA food assistance programs. The bill provided $18 million to fund these studies, an increase from $7 million in FY1997. ERS asked the Committee on National Statistics for assistance in identifying new areas of research and data collection and in further improving the evaluation studies of food assistance programs. By bringing together many who work on evaluation of food assistance programs, policy analysis, survey methods, nutrition, child nutrition and child development, outcome measurement, and state welfare programs, the issues presented and discussed at the workshop provided ERS with information that could be used to develop a framework for their research program.

This study is an important first step in the development of a national policy on illegal drugs. It assesses two recent cost-effectiveness studies on cocaine control policy: one by RAND, Controlling Cocaine: Supply Versus Demand Programs, and the other by the Institute of Defense Analyses, An Empirical Examination of Counterdrug Interdiction Program Effectiveness.

How cutting-edge economics can improve decision-making methods for doctorsAlthough uncertainty is a common element of patient care, it has largely been overlooked in research on evidence-based medicine. Patient Care under Uncertainty strives to correct this glaring omission. Applying the tools of economics to medical decision making, Charles Manski shows how uncertainty influences every stage, from risk analysis to treatment, and how this can be reasonably confronted.In the language of econometrics, uncertainty refers to the inadequacy of available evidence and knowledge to yield accurate information on outcomes. In the context of health care, a common example is a choice between periodic surveillance or aggressive treatment of patients at risk for a potential disease, such as women prone to breast cancer. While these choices make use of data analysis, Manski demonstrates how statistical imprecision and identification problems often undermine clinical research and practice. Reviewing prevailing practices in contemporary medicine, he discusses the controversy regarding whether clinicians should adhere to evidence-based guidelines or exercise their own judgment. He also critiques the wishful extrapolation of research findings from randomized trials to clinical practice. Exploring ways to make more sensible judgments with available data, to credibly use evidence, and to better train clinicians, Manski helps practitioners and patients face uncertainties honestly. He concludes by examining patient care from a public health perspective and the management of uncertainty in drug approvals.Rigorously interrogating current practices in medicine, Patient Care under Uncertainty explains why predictability in the field has been limited and furnishes criteria for more cogent steps forward.

Economists have long sought to learn the effect of a "treatment" on some outcome of interest, just as doctors do with their patients. A central practical objective of research on treatment response is to provide decision makers with information useful in choosing treatments. Often the decision maker is a social planner who must choose treatments for a heterogeneous population--for example, a physician choosing medical treatments for diverse patients or a judge choosing sentences for convicted offenders. But research on treatment response rarely provides all the information that planners would like to have. How then should planners use the available evidence to choose treatments? This book addresses key aspects of this broad question, exploring and partially resolving pervasive problems of identification and statistical inference that arise when studying treatment response and making treatment choices. Charles Manski addresses the treatment-choice problem directly using Abraham Wald''s statistical decision theory, taking into account the ambiguity that arises from identification problems under weak but justifiable assumptions. The book unifies and further develops the influential line of research the author began in the late 1990s. It will be a valuable resource to researchers and upper-level graduate students in economics as well as other social sciences, statistics, epidemiology and related areas of public health, and operations research.