## 'data.frame': 113 obs. of 7 variables: ## $ gos6 : Ord.factor w/ 5 levels "1"<"2"<"3"<"4"<..: 5 5 5 5 1 1 4 1 5 4 ... ## $ outcome: Factor w/ 2 levels "Good","Poor": 1 1 1 1 2 2 1 2 1 1 ... ## $ gender : Factor w/ 2 levels "Male","F...
please avoid AUCall – it's Pharsight's invention. You will not find it in any textbook on PK. Regulatory authorities worldwide require AUCt(=AUClast) and AUC∞(=AUCinf). If you go with AUCinf, I would recommend to use AUCinfpred instead of AUCinfobs. For some background seethis t...
Rpart cp = 0, depth = 9) 0.965 (∓0.005) 0.722 (∓0.077) 0.613 (∓0.078) 0.916 (∓0.024) 0.441 (∓0.118) 0.151 (∓0.192) 27.8 (∓6.268) 2 (∓0.000) Iris data ImbTreeAUC (cp = 0.01, depth = 3) 0.976 (∓0.006) 0.987 (∓0.006) 0.963 (∓0.009) 0.960 (...
inf) for sub_loss_file in loss_file_list: dataset, scores, labels = get_scores_labels(sub_loss_file,reverse,smoothing) fpr, tpr, thresholds = metrics.roc_curve(labels, scores, pos_label=0) eer = cal_eer(fpr, tpr) results = RecordResult(fpr, tpr, eer, dataset, sub_loss_file) if...
AUCINF_obs代表从给药开始到理论外推无穷远的时间的AUC (计算=AUClast+Clast/Lambda_ z ),AUCINF_obs计算中的Clast是指实际测量的Clast(最后一个可以测量到的浓度); AUCINF_ pred代表从给药开始到理论外推无穷远的时间的AUC,AUCINF_ pred计算中的Clast是指用线性回归计算的最后一点浓度(比如,你的最后一个观...
## 1 -Inf 0 1 ## 2 0.03 0 1 ## 3 0.04 0 0.976 ## 4 0.05 0.0694 0.976 ## 5 0.06 0.111 0.976 ## 6 0.07 0.139 0.976 ## 7 0.08 0.222 0.902 ## 8 0.09 0.306 0.878 ## 9 0.1 0.389 0.829 ## 10 0.11 0.486 0.780 ## # ℹ 42 more rows ...