On change in length of stay associated with an intermediate event: estimation within multi-state models and large sample properties

This thesis is on the impact of an intermediate on a terminal event. <br>More precisely, it is concerned with quantifying such an impact in <br>terms of (expected) change in length of stay until occurrence of the <br>terminal and associated with the intermediate event. Essentially, we <br>treat the situation as a random time interval problem, with length of <br>the time interval (possibly zero) equal to the time spent in the <br>intermediate state. We suggest and study functionals quantifying <br>change in length of stay. Our approach applies quite generally to <br>functionals summarizing the impact of an intermediate on a terminal <br>event.

Author dc:creator

• Beyersmann, Jan

Contributors dc:contributor

• Schumacher, Martin

• biometry
• multistate model
• nosocomial infection
• random time interval

Repository record source_url

https://freidok.uni-freiburg.de/data/1843

OAI identifier oai:identifier

oai:freidok.uni-freiburg.de:1843