Statistics Collaborative, Inc., 1625 Massachusetts Avenue, NW, Suite 600, Washington, DC 20036, USA.
Stat Med. 2012 Oct 30;31(24):2791-7. doi: 10.1002/sim.5586. Epub 2012 Sep 2.
This paper briefly describes Jerome Cornfield's approach to Bayesian statistics, his discomfort with frequentist inference, and his contribution to two major clinical trials, the University Group Diabetes Program and the Coronary Drug Project. I mention the role of Bayesian statistics in current randomized clinical trials and conjecture why Cornfield's contributions to Bayesian methods are not more widely cited today. I then provide some personal recollections of Jerry as a role model and mentor and conclude with a recommendation that biostatisticians read his seminal papers because of their thoughtfulness, insight, wit, and clarity.
本文简要描述了杰罗姆·科恩菲尔德(Jerome Cornfield)的贝叶斯统计学方法、他对频率派推断的不适应,以及他对两项主要临床试验——大学组糖尿病计划(University Group Diabetes Program)和冠心病药物项目(Coronary Drug Project)的贡献。我提到了贝叶斯统计学在当前随机临床试验中的作用,并推测了为什么科恩菲尔德对贝叶斯方法的贡献今天没有得到更广泛的引用。然后,我提供了一些作为榜样和导师的杰里(Jerry)的个人回忆,并以建议生物统计学家阅读他的开创性论文作为结束,因为这些论文具有思想性、洞察力、智慧和清晰性。