By Herbert I. Weisberg
Do mobile phones reason melanoma? Can a brand new curriculum raise scholar success? opting for what the true reasons of such difficulties are, and the way strong their results could be, are crucial matters in examine throughout quite a few fields of research. a few researchers are hugely skeptical of drawing causal conclusions other than in tightly managed randomized experiments, whereas others the threats posed by means of varied resources of bias, even in much less rigorous observational reviews. Bias and Causation provides an entire therapy of the topic, organizing and clarifying the varied kinds of biases right into a conceptual framework. The publication treats a variety of assets of bias in comparative studies—both randomized and observational—and bargains suggestions on how they need to be addressed by way of researchers.
Utilizing a comparatively uncomplicated mathematical strategy, the writer develops a conception of bias that outlines the fundamental nature of the matter and identifies many of the resources of bias which are encountered in smooth study. The e-book starts off with an advent to the research of causal inference and the similar recommendations and terminology. subsequent, an outline is equipped of the methodological matters on the center of the problems posed through bias. next chapters clarify the techniques of choice bias, confounding, intermediate causal elements, and knowledge bias in addition to the distortion of a causal influence which may outcome while the publicity and/or the end result is measured with blunders. The booklet concludes with a brand new type of twenty normal resources of bias and sensible suggestion on how mathematical modeling and professional judgment might be mixed to accomplish the main credible causal conclusions.
Throughout the booklet, examples from the fields of medication, public coverage, and schooling are integrated into the presentation of varied themes. moreover, six distinct case stories illustrate concrete examples of the importance of biases in daily research.
Requiring just a easy figuring out of records and chance conception, Bias and Causation is a wonderful complement for classes on examine tools and utilized records on the upper-undergraduate and graduate point. it's also a important reference for working towards researchers and methodologists in a variety of fields of research who paintings with statistical data.
This book was chosen as the 2011 Ziegel Prize Winner in Technometrics for the easiest booklet reviewed through the journal.
It is additionally the winner of the 2010 PROSE Award for Mathematics from the yank Publishers Awards for pro and Scholarly Excellence
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Bias and Causation: Models and Judgment for Valid Comparisons (Wiley Series in Probability and Statistics) by Herbert I. Weisberg
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