Publication Bias

R. Bausell
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Abstract

Publication bias, defined as a “tendency for positive results to be overrepresented in the published literature,” was recognized and bemoaned as early as the 17th century by the chemist Robert Boyle. In the latter half of the 20th century, it began to be recognized as an increasingly serious scientific problem characterized by a deluge of positive published results (actually exceeded 95% in some areas of psychology). And, by the second decade of the 21st century, data mining techniques indicated that the phenomenon had reached epic proportions, not only in psychology and the other social sciences, but in many of the life and physical sciences as well: a finding that might have been viewed as an amusing idiosyncratic scientific fact of life if not for a concomitant realization that most of these positive scientific findings were wrong. And that publication bias, if not a cause of this debacle, was at least a major facilitator. This chapter provides documentation for the high prevalence of this odd phenomenon in a wide swath of myriad empirical scientific literatures along with the accompanying compulsion it fosters for producing positive rather than reproducible results.
发表偏倚
早在17世纪,化学家罗伯特·博伊尔(Robert Boyle)就发现并哀叹了“发表偏倚”,它被定义为“积极结果在已发表文献中被过度代表的趋势”。在20世纪后半叶,它开始被认为是一个日益严重的科学问题,其特征是大量积极的研究结果(在心理学的某些领域实际上超过了95%)。而且,到21世纪的第二个十年,数据挖掘技术表明,这种现象已经达到了史诗般的规模,不仅在心理学和其他社会科学领域,而且在许多生命科学和物理科学领域也是如此:如果不是因为人们意识到这些积极的科学发现大多是错误的,这一发现可能会被视为生活中一个有趣的特殊科学事实。而这种发表偏见,即使不是导致这场灾难的原因,至少也是一个主要的推动者。本章为这一奇怪的现象在大量的实证科学文献中普遍存在提供了证据,并伴随其产生积极而非可重复的结果的冲动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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