By Herbert I. Weisberg
Do mobile phones reason melanoma? Can a brand new curriculum elevate scholar fulfillment? deciding on what the true factors of such difficulties are, and the way robust their results could be, are primary concerns in study 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 way of diverse assets of bias, even in much less rigorous observational reviews. Bias and Causation provides a whole remedy of the topic, organizing and clarifying the varied sorts of biases right into a conceptual framework. The booklet treats quite a few assets of bias in comparative studies—both randomized and observational—and deals counsel on how they need to be addressed through researchers.
Utilizing a comparatively uncomplicated mathematical process, the writer develops a concept of bias that outlines the basic nature of the matter and identifies a few of the resources of bias which are encountered in glossy learn. The ebook starts with an advent to the examine of causal inference and the comparable ideas and terminology. subsequent, an summary is supplied of the methodological concerns on the center of the problems posed by way of bias. next chapters clarify the innovations of choice bias, confounding, intermediate causal elements, and knowledge bias in addition to the distortion of a causal influence that may consequence while the publicity and/or the end result is measured with mistakes. The ebook concludes with a brand new class of twenty basic assets of bias and functional suggestion on how mathematical modeling and professional judgment may be mixed to accomplish the main credible causal conclusions.
Throughout the ebook, examples from the fields of drugs, public coverage, and schooling are integrated into the presentation of assorted themes. furthermore, six specific case reports illustrate concrete examples of the importance of biases in daily research.
Requiring just a uncomplicated figuring out of records and chance concept, Bias and Causation is a wonderful complement for classes on examine tools and utilized statistics on the upper-undergraduate and graduate point. it's also a invaluable reference for practising researchers and methodologists in numerous fields of analysis who paintings with statistical data.
This book was chosen as the 2011 Ziegel Prize Winner in Technometrics for the easiest ebook 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