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Bias!: How Systemic Error Threatens Biomedical Research

Bias!: How Systemic Error Threatens Biomedical Research in Ottawa, ON

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Current price: $51.95
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Bias!: How Systemic Error Threatens Biomedical Research

By None

Bias!: How Systemic Error Threatens Biomedical Research in Ottawa, ON

Current price: $51.95
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Size: Paperback

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An intricate landscape of bias permeates biomedical research. In this groundbreaking exploration the myriad sources of bias shaping research outcomes, from cognitive biases inherent in researchers to the selection of study subjects and data interpretation, are examined in detail. With a focus on randomized controlled trials, pharmacologic studies, genetic research, animal studies, and pandemic analyses, it illuminates how bias distorts the quest for scientific truth. Historical and contemporary examples vividly illustrate the impact of biases across research domains. Offering insights on recognizing and mitigating bias, this comprehensive work equips scientists and research teams with tools to navigate the complex terrain of biased research practices. A must-read for anyone seeking a deeper understanding of the critical role biases play in shaping the reliability and reproducibility of biomedical research.
An intricate landscape of bias permeates biomedical research. In this groundbreaking exploration the myriad sources of bias shaping research outcomes, from cognitive biases inherent in researchers to the selection of study subjects and data interpretation, are examined in detail. With a focus on randomized controlled trials, pharmacologic studies, genetic research, animal studies, and pandemic analyses, it illuminates how bias distorts the quest for scientific truth. Historical and contemporary examples vividly illustrate the impact of biases across research domains. Offering insights on recognizing and mitigating bias, this comprehensive work equips scientists and research teams with tools to navigate the complex terrain of biased research practices. A must-read for anyone seeking a deeper understanding of the critical role biases play in shaping the reliability and reproducibility of biomedical research.

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