Application of multistate models in hospital epidemiology: Advances and challenges

被引:44
作者
Beyersmann, Jan [1 ,2 ]
Wolkewitz, Martin [1 ,2 ]
Allignol, Arthur [1 ,2 ]
Grambauer, Nadine [1 ,2 ]
Schumacher, Martin [2 ]
机构
[1] Univ Freiburg, Freiburg Ctr Data Anal & Modelling, Freiburg, Germany
[2] Univ Med Ctr Freiburg, Inst Med Biometry & Med Informat, Freiburg, Germany
关键词
Competing risks; Epidemic dynamics; Nosocomial infection; Sampling; Time-dependent bias; TIME-DEPENDENT BIAS; BLOOD-STREAM INFECTION; RISK-FACTOR ANALYSIS; CARE-UNIT STAY; LENGTH-OF-STAY; COMPETING RISKS; SUBDISTRIBUTION HAZARDS; NOSOCOMIAL INFECTION; BONE-MARROW; SURVIVAL;
D O I
10.1002/bimj.201000146
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Survival analysis has established itself as a major statistical technique in medical research. Applications in hospital epidemiology, however, are only beginning to emerge. One reason for this delay is that usually complete follow-up of patients in hospital is feasible. This overview discusses where survival techniques provide additional insight into hospital epidemiology, and where they are, in fact, needed even in the absence of right-censoring.
引用
收藏
页码:332 / 350
页数:19
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