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在临床医学研究中,应用Cox回归模型(亦称比例危险模型)分析患者的生存期、缓解期、疾病的潜伏期等“时间—反应”类型资料,能克服传统的多元回归无法处理的“失访”或分析时仍生存的不完全生存时间的数据(又称截尾数据),能作出各个因素对生存影
In clinical research, using the Cox regression model (also known as proportional hazard model) to analyze patient’s survival, remission, disease latency and other “time-response” types of data, to overcome the traditional multiple regression can not handle the “lost ”Or analysis of survival time is still incomplete data (also known as censored data), can make a variety of factors on the survival of the shadow