Model ValidationPublished data whic

Model Validation
Published data which measures contamination levels of HCWs' hands is scarce. In particular, Pittet et
al. (1999) is the only known published study that quantifies both cfu values along with the time spent
in the room by the HCW. However their methodology does not include surface swabbing and hence a
specific value for surface contamination, V, is not known. Nevertheless, assuming that other variables
such as HCW hand surface area, surface types and nursing behaviour are comparable between
scenarios, it is reasonable to compare the distribution shape by means of a Kendall-tau non-parametric
test of the simulated cfu from PAM and the measured data by Pittet et al. (Didier Pittet et al., 1999).
Specifically this is a measure of rank correlation or the similarity of the orderings of the data when
ranked by each of the quantities. This approach is used for comparing the differences between
individual observations with respect to each other to gain an insight into the overall data distribution.
Initial comparison shows a less-than perfect fit (p~0.2) and therefore the data from both PAM and
Pittet et al. was split into 4 groups corresponding to: Lower quartile (≤25%), lower-mid quartile

ผลลัพธ์ (อังกฤษ) 1:

Model ValidationPublished data which measures contamination levels of HCWs ' hands is scarce. In particular, Pittet etall. (1999) is the only known published study that quantifies both cfu values along with the time spentin the room by the HCW. However their methodology does not include surface swabbing and hence aspecific value for surface contamination, V, is not known. Nevertheless, assuming that other variablessuch as HCW hand surface area, surface types and nursing behaviour are comparable betweenscenarios, it is reasonable to compare the distribution shape by means of a Kendall-tau non-parametrictest of the simulated cfu from PAM and the measured data by Pittet et al. (Didier Pittet et al., 1999).Specifically this is a measure of rank correlation or the similarity of the orderings of the data whenranked by each of the quantities. This approach is used for comparing the differences betweenindividual observations with respect to each other to gain an insight into the overall data distribution.Initial comparison shows a less-than perfect fit (p ~ 0.2) and therefore the data from both PAM andPittet et al. was split into 4 groups corresponding to: Lower quartile (≤25%), lower-mid quartile

ผลลัพธ์ (อังกฤษ) 3:

模型验证
公布的数据是衡量医务人员的手污染水平是稀缺的。特别是，pittet
铝等。（1999）是唯一已知的公布，量化的CFU值随着花
在房间HCW时间研究。然而，他们的方法不包括表面擦洗因此
特定值的表面污染，V，不知道。然而，假设其他变量如HCW
手部表面积，表面的类型和护理行为之间
场景的可比是合理的，比较的非参数检验肯德尔tau
模拟CFU从PAM的分布形状和测量数据pittet等人。（者皮特等人。，1999）
。特别是这是一个衡量等级相关的数据时，被每个
数量排序的相似性。这种方法是用于比较不同个体观测
彼此深入了解整体的数据分布。初步比较表明
不是完全符合（P ~ 0。2），因此从PAM
pittet等人的数据。分为4组对应：低限（≤25%），低中位