Li Liang
Department of Quantitative Health Sciences, Cleveland Clinic, 9500 Euclid Ave. JJN3, Cleveland, Ohio, USA.
Int J Biostat. 2010;6(1):Article 5. doi: 10.2202/1557-4679.1214.
We offer an explanation to the simulation result of Austin (2009) regarding rate ratios, and argue that unmatched analysis of propensity score matched count data results in conservative statistical inferences on the rate ratios.
我们对奥斯汀（2009年）关于率比的模拟结果给出了解释，并认为对倾向得分匹配计数数据进行不匹配分析会导致对率比的统计推断较为保守。
