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Books on the topic 'Medical bias'

Author: Grafiati

Published: 11 December 2022

Last updated: 31 July 2025

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1

Kan, Hongjun. Does the Medicare Principal Inpatient Diagnostic Cost Group model adequately adjust for selection bias? RAND Graduate School, 2002.

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2

National Center for Health Statistics (U.S.). Nonresponse bias in estimates from the 2012 National Ambulatory Medical Care Survey. U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statistics, 2016.

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3

service), SpringerLink (Online, ed. It's Great! Oops, No It Isn't: Why Clinical Research Can't Guarantee the Right Medical Answers. Springer Netherlands, 2009.

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4

J, Sutton A., ed. Methods for meta-analysis in medical research. J. Wiley, 2000.

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5

T, McGleenan, Ewald François, and Wiesing U, eds. Genetics and insurance. BIOS, 1999.

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6

Office, General Accounting. Consumer Price Index: Update of Boskin Commission's estimate of bias : report to the Ranking Minority Member, Committee on Finance, U.S. Senate. The Office, 2000.

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7

1950-, Zhang Yongxun, and Xing zheng yuan wei sheng shu Zhong yi yao wei yuan hui (China), eds. Taiwan yuan zhu min yao yong zhi wu hui bian. 3rd ed. Xing zheng yuan wei sheng shu zhong yi yao wei yuan hui, 2002.

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8

United States. Government Accountability Office, ed. Medicare Advantage: Comparison of plan bids to fee-for-service spending by plan and market characteristics. U.S. Govt. Accountability Office, 2011.

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9

Zhang, Bingcheng. Ben cao bian du. Xue yuan chu ban she, 2010.

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10

Zhou, Yan. Ben cao si bian lu jiao shi. Xue yuan chu ban she, 2008.

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11

Parker, Lara, ed. Vagina Problems. Brilliance Audio, 2020.

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12

Parker, Lara, ed. Vagina Problems. St. Martins Griffin, 2020.

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13

Nanjing Zhong yi yao da xue. Zhong yao da ci dian: Fu bian = Zhongyaodacidian. 2nd ed. Shanghai ke xue ji shu chu ban she, 2009.

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14

Ding, Fang, ed. Zhuang zu min jian yong yao xuan bian. Guangxi min zu chu ban she, 1985.

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15

China. Guo jia wei sheng jian kang wei yuan hui. Wei sheng jian kang gong zuo zhong yao wen jian hui bian (2018 nian). Guo jia wei sheng jian kang wei, 2019.

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16

Sun, Shuyun. Zhongguo nong cun he zuo yi liao zhi du bian qian 70 nian: Zhongguo nongcun hezuo yiliao zhidu bianqian 70nian. Ren min chu ban she, 2020.

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17

Ma, Shuangcheng, and Tianpei Xie. Chang yong Zhong yao biao zhun wu zhi fen xi tu pu. Ren min wei sheng chu ban she, 2010.

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18

translator, Chen Zhimin, and LaPlante Matthew D. author, eds. Yi chuan mi ma: Wo men bu shi bei dong de ji yin ji cheng zhe, tong nian chuang shang, yin shi ji sheng huo xi guan de gai bian, dou neng gai bian ji yin ti de biao xian = Inheritance : how our genes change our lives, and our lives change our genes. Da kuai wen hua chu ban gu fen you xian gong si, 2016.

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19

DWASS, Emily. Diagnosis Female: How Medical Bias Endangers Women's Health. Rowman & Littlefield Publishers, Incorporated, 2019.

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20

Dwass, Emily. Diagnosis Female: How Medical Bias Endangers Women's Health. Rowman & Littlefield Publishers, Incorporated, 2022.

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21

Leandro, Gioacchino. Meta-Analysis in Medical Research: The Handbook for the Understanding and Practice of Meta-Analysis. Wiley & Sons, Incorporated, John, 2008.

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22

Leandro, Gioacchino. Meta-Analysis in Medical Research: The Handbook for the Understanding and Practice of Meta-Analysis. Wiley & Sons, Incorporated, John, 2008.

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23

Meta-analysis in medical research: The handbook for the understanding and practice of meta-analysis. BMJ books, 2005.

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24

Stegenga, Jacob. Bias and Fraud. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198747048.003.0010.

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There are numerous biases in medical research that render evidence from such research systematically misleading. Some of these biases are exacerbated by conflicts of interest, including fantastic financial incentives. The most important biases in medical research include confirmation bias, design bias, analysis bias, and publication bias. Arguably, some forms of bias, such as publication bias, should be considered as fraud. The pervasiveness of bias in medical research justifies one of the premises of the master argument for medical nihilism. Medical research is malleable due to the many biase

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25

Berry, Bonnie. Beauty Bias. Praeger, 2007. http://dx.doi.org/10.5040/9798400617171.

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Society has always been fixated on looks and celebrities, but how we look has deep ramifications for ordinary people too. In this book, Bonnie Berry explains how social inequality pertains to prejudice and discrimination against people based on their physical appearance. This form of inequality overlaps with other, better-known forms of inequality such as those that result from sexism, racism, ageism, and classism. Social inequality regarding looks is notable in a number of settings: work, medical treatment, romance, and marriage, to mention a few. It is experienced as limitations on access to

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26

Leandro, Gioacchino. Meta-Analysis in Medical Research: The Handbook for the Understanding and Practice of Meta-Analysis. Wiley & Sons, Limited, John, 2007.

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27

The Muscular Ideal: Psychological, Social, and Medical Perspectives. American Psychological Association (APA), 2007.

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28

Chanoff, David, Augustus A. White III, Augustus A. White III, and Augustus A. White. Seeing Patients: Unconscious Bias in Health Care. Harvard University Press, 2011.

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29

Scarce, Michael. Smearing the Queer: Medical Bias in the Health Care of Gay Men. Harrington Park Press, 1999.

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30

Scarce, Michael. Smearing the Queer: Medical Bias in the Health Care of Gay Men. Taylor & Francis Group, 2013.

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31

Smearing the Queer: Medical Bias in the Health Care of Gay Men. Routledge, 2013.

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32

Scarce, Michael. Smearing the Queer: Medical Bias in the Health Care of Gay Men. Taylor & Francis Group, 2013.

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33

The muscular ideal: Psychological, social, and medical perspectives. American Psychological Association, 2005.

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34

Dyslexia and Gender Bias: A Critical Review. Taylor & Francis Group, 2018.

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35

Dyslexia and Gender Bias: A Critical Review. Taylor & Francis Group, 2019.

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36

Dyslexia and Gender Bias: A Critical Review. Taylor & Francis Group, 2018.

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37

Stegenga, Jacob. Assessing Medical Evidence. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198747048.003.0007.

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Medical scientists employ ‘quality assessment tools’ to assess evidence from medical research, especially from randomized trials. These tools are designed to take into account methodological details of studies, including randomization, subject allocation concealment, and other features of studies deemed relevant to minimizing bias. There are dozens of such tools available. They differ widely from each other, and empirical studies show that they have low inter-rater reliability and low inter-tool reliability. This is an instance of a more general problem called here the underdetermination of ev

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38

Bernstein, Daniel M., Andre Aßfalg, Ragav Kumar, and Rakefet Ackerman. Looking Backward and Forward on Hindsight Bias. Edited by John Dunlosky and Sarah (Uma) K. Tauber. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199336746.013.7.

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The same event that appeared unpredictable in foresight can be judged as predictable in hindsight. Hindsight bias clouds judgments in all areas of life, including legal decisions, medical diagnoses, consumer satisfaction, sporting events, and election outcomes. We discuss three theoretical constructs related to hindsight bias: memory, reconstruction bias, and motivation. Attempts to recall foresight knowledge fail because newly acquired knowledge affects memory either directly or indirectly by biasing attempts to reconstruct foresight knowledge. On a metacognitive level, overconfidence and sur

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39

III, Augustus A. White. Seeing Patients: A Surgeon's Story of Race and Medical Bias, with a New Preface. Harvard University Press, 2019.

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40

Chanoff, David, and Augustus A. White III. Seeing Patients: A Surgeon's Story of Race and Medical Bias, with a New Preface. Harvard University Press, 2019.

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41

Smith, Richard. The Trouble With Medical Journals. Royal Society of Medicine Press, 2006.

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42

Young, Gerald. Malingering, Feigning, and Response Bias in Psychiatric/ Psychological Injury: Implications for Practice and Court. Springer, 2016.

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43

Young, Gerald. Malingering, Feigning, and Response Bias in Psychiatric/ Psychological Injury: Implications for Practice and Court. Springer, 2014.

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44

Young, Gerald. Malingering, Feigning, and Response Bias in Psychiatric/ Psychological Injury: Implications for Practice and Court. Springer London, Limited, 2014.

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45

Nelles, L. J., Peggy Hamilton, Paul Robert D’Alessandro, et al. The Use of Theater with Medical Residents. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190849900.003.0007.

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This chapter looks at the use of theatre as a tool for teaching self-awareness, the effects of bias, the understanding of complex human conditions, empathy, attunement, self-confidence, and decision-making in medical resident education. While more common in undergraduate medical programs and used across the health professions, theatre is emerging as a meaningful tool for education and research in the resident experience. The chapter is set within a performance studies paradigm that includes current understanding of the neuroscientific effect of theater on the body and in relationship, informat

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46

Consumer price index: Update of Boskin Commission's estimate of bias. U.S. General Accounting Office, 2000.

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47

Smearing the Queer: Medical Bias in the Health Care of Gay Men (Haworth Gay & Lesbian Studies) (Haworth Gay & Lesbian Studies). Haworth Press, 1999.

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48

Tomas, Robert Pierre. How to Fund and Promote Arts-Based Initiatives in Postgraduate Medical Education. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190849900.003.0011.

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This chapter is a practical how-to for funding strategies for arts-based and health humanities teaching in postgraduate medical education. Ideas contained here are suggestions and not meant to be an exhaustive manual, however they may direct the reader towards resources not previously considered. From support for specific activities and workshops to seeking major gifts for the creation of faculty-wide humanities programs, it is a broad-based fundraising how-to, suggesting both, small, incremental changes as well as broad, dramatic ways in which such programs can be transformed and provided wit

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49

Ratitch, Bohdana. Clinical Trials with Missing Data: A Guide for Practitioners. Wiley & Sons, Incorporated, John, 2014.

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50

Clinical Trials with Missing Data: A Guide for Practitioners. Wiley, 2014.

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