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Kafka's Truth-seeking Dogs

机译:卡夫卡的求真狗

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摘要

Epidemiologic research has unavoidable errors. It is virtually impossible to get point estimates exactly right. At best, we can hope that we estimate effects in the right direction and within reasonable proximity to the true effect size for the population under study. There are an endless number of choices epidemiologists must make when we select our research topic, design our study, analyze the results, and present the findings. We all trust that these decisions are made in good faith. We have to act like Kafka's truth-seeking dogs; the search for truth should be our only aspiration. Yet, we know this is not always the case. We may put emphasis on elements in applications or in article that will increase our probability of being funded or being published. That kind of career-boosting is the dope of science and, like doping in sports, it destroys fair competition. Research results will have no value if they cannot be trusted within the limits with which we. The mechanisms that lead to minor unjustifiedmanipulation of data may even lead to more severe and rare types of dishonesty, such as fabrication of data. Dishonesty may pay off in the short run but will hopefully be discovered with time.
机译:流行病学研究有不可避免的错误。几乎不可能获得完全正确的点估计。充其量,我们可以希望我们估计正确的方向上的效果,并且在合理范围内接近被研究人群的真实效果。当我们选择研究课题,设计研究,分析结果并提出发现时,流行病学家必须做出无数的选择。我们都相信,这些决定是真诚的。我们必须像卡夫卡的求真犬一样行事。寻找真理应该是我们唯一的愿望。但是,我们知道情况并非总是如此。我们可能会强调应用程序或文章中的元素,这些元素会增加我们获得资助或发表的可能性。促进职业发展是科学的秘诀,就像体育运动中的兴奋剂一样,它破坏了公平竞争。如果在我们的限制范围内无法信任研究结果,那么它们将毫无价值。导致较小程度的不合理操纵数据的机制甚至可能导致更严重和罕见的不诚实类型,例如数据制造。不诚实可能会在短期内得到回报,但希望会随着时间的流逝而被发现。

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