Cox Multiple factors analysis COX多因素分析
analysis of multiple factors 多因素分析
The rate of occupational injury was 22.8 percent and the main influential factors were sex, occupation, work time per day, regulation or regime for security and marriage based on multiple factors analysis.
农民工损伤率为22.8%,多因素分析结果表明影响农民工损伤率的因素为性别、职业、每天工作时间、有无安全保护规章制度和婚姻状况。
参考来源 - 农民工健康状况及其卫生政策研究·2,447,543篇论文数据，部分数据来源于NoteExpress
The results among these parameters were analyzed by multiple factors analysis statistically.
对所得的结果进行统计学多因素分析。
Multiple factors analysis revealed that clinical stage was significant factor for prognosis.
多因素分析显示：临床分期与鼻咽癌后程超分割放射治疗的预后有关。
Fault Tree Analysis is an effective tool for evaluating how multiple factors affect a given issue.
失误树分析是评估多种因素怎样影响争议的有效的工具。
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