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Denominators differ from the incidence column due to missing survival status (17/562 patients).
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Imputation of missing survival times was based on a pattern-mixture modelling approach, in which we stratify subjects by their pattern of missing values, in our case LTFU status, and formulate distinct imputation models for each stratum [17].
Eight records with missing survival information are excluded from analysis.
For comparison without a lead time bias, 7,450 subjects in the survival group were also excluded as their survival status was missing or they did not survive or were not identified in the cancer dataset at Dec 31 2008.
Thus, patients on whom data on survival status had been missing were categorized as censored.
Missing information on mode of recurrence detection or survival status was obtained by means of questionnaires and telephone calls to the patient or surviving close family members.
If any of the participants missed a follow-up visit, a research assistant visited his/her home to determine survival status.
For example, when linking records to a death registry to determine a patient's survival status, it is difficult to know which matches have been missed if it is unknown whether the patient is alive or dead.
Survival status indicates that 96% people who suffered from accidental injury survived while 4% died.
Survival status was assessed at ICU and hospital discharge.
More characteristics, classified according to survival status, are presented in Table 1.
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