Sentence examples for exit defined from inspiring English sources

Age was the underlying time variable, with entry defined as the age of the subject on the explosion date, 10 July 1976, and exit defined as her age at cancer diagnosis or censoring (death, last follow-up).

Age was also used as an underlying time variable in the counting processes, with entry defined as the participant's age at recruitment and exit defined as age at diabetes diagnosis or censoring.

Person-years at risk were accumulated from entry into the study (at 3-year survivorship) until exit (defined as diagnosis of STS, death, emigration or study end point of 31 December 1990, whichever was first).

Age was the underlying time variable, with entry defined as the woman's age on 10 July 1976, and exit defined as her age at diabetes diagnosis (i.e., age at diagnosis for self-reported cases, age at blood draw for undiagnosed cases) or censoring (i.e., age at death, age at 2008 follow-up study for women who participated in 2008, age at 1996 study for women who did not participate in 2008).

Cohort exit was defined as exit of the person from the database, 18th birthday, death, the first interruption of follow-up in the database or December 31st 2008, whichever came first.

The date of exit was defined as the earliest of the date of death, emigration, loss to follow-up or the end of the period of follow-up (31 December 2003).

Cohort exit was defined as the date of ART initiation.

Age was the underlying time variable, with entry and exit times defined as age at recruitment and age at cancer diagnosis or censoring date (death or age at the last follow-up), respectively.

Age was used as the underlying time variable with entry and exit time defined as the participant's age at recruitment and age at diagnosis of cancer or at censoring, respectively.

Cohort exit was defined as the estimated end of the last rivaroxaban treatment episode, the end of the study period, death of any cause or the end of insurance, whatever happened first.

In all analyses, age was used as the underlying time variable (with entry and exit time defined as the participant's age at recruitment and age at type 2 diabetes diagnosis, death, loss-to follow-up, or censoring at the end of the follow-up), and all models were stratified by center to account for study center effects such as follow-up procedures and covariate measurement.