ing postevent outcomes in a regression model. This would result in biased associations,
namely, the inability to determine if the predictive factor resulted in the event or if the event …

ing postevent outcomes in a regression model. This would result in biased associations,
namely, the inability to determine if the predictive factor resulted in the event or if the event …

Rationale Observational cohort studies are frequently used to measure the impact of
therapies on the time to a particular outcome. Treatment often has a time‐variant nature …

Censoring in survival analysis implies that the event may occur with further follow-up. This is
not true for progression-related events if deaths occur before progression. Nor for time to …

La persistenza dei comportamenti autolesionistici gravi Page 1 115 La persistenza dei
comportamenti autolesionistici gravi Eric Emerson Chris Kiernan Alison Alborz David …

Background Current reporting guidelines do not call for standardised declaration of follow-
up completeness, although study validity depends on the representativeness of measured …

Purpose The purpose of the study is to show, through simulation and example, the
magnitude and direction of immortal time bias when an inappropriate analysis is used …

Objective Proper interpretation of survival data of clinical cancer studies may be difficult and
pitfalls related to the nature of Kaplan–Meier analyses might end up in mistaken inferences …

When using observational data, quantifying the effect of treatment duration on survival
outcomes is not straightforward because only people who live for a long time can receive …

Clinical trials often collect and assess survival (or time to event) data from patients. The data
can be used to compare two or more groups for the rate at which an event of interest occurs …