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On a per patient base, survival analysis was performed towards the PFS using the Kaplan Meier product-limited (actuarial) method.
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The use of a prognostic epidemiological tool based on survival analysis was rejected as it requires information that may not be present in case records.
Survival analysis was based on the Cormack-Jolly-Seber models (CJS).
The approach to model building for prediction in survival analysis was based on the combination of stepwise regression, Akaike information criteria (AIC), and the best subset selection: Stepwise-AIC-Best Subsets approach.
Therefore, survival analysis was based on 5 years survival rates.
Multivariate survival analysis was based on Cox proportional hazard model.
Filter survival analysis was based on individual filter data.
Survival analysis was based on the Kaplan Meier method and Cox proportional hazards model.
The univariate survival analysis was based on the Kaplan Meier method.
However, the survival analysis was based on a patient cohort diagnosed from 1996 to 2002.
Survival analysis was based on CLL cases provided with clinical data (n = 931).
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