Biostatistics 203. Survival analysis.
暂无分享,去创建一个
Since survival time is a quantitative variable, why can’t we just use the usual techniques from Table I? Before we explain the main reason why we use survival analysis, let’ us consider a simple example on the survival times (in months) for 25 lung cancer patients who all died; the timings are : 1, 5, 6, 6, 9, 10, 10, 10, 12, 12, 12, 12, 12, 13, 15, 16, 20, 24, 24, 27, 32, 34, 36, 36, 44 months. Performing a simple descriptive, we have n = 25, mean (sd) = 17.52 (11.48) months and median = 12 months.
[1] Chang Yh. Biostatistics 201: linear regression analysis. , 2004 .
[2] Y. Chan. Biostatistics 103: qualitative data - tests of independence. , 2003, Singapore medical journal.
[3] Chang Yh. Biostatistics 102: quantitative data--parametric & non-parametric tests. , 2003 .
[4] E. B. Andersen,et al. Logistic Regression Analysis , 1994 .
[5] G. Seber,et al. Linear Regression Analysis , 1980 .