Tag: long follow-up
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Modeling Strategies for Flexible Estimation of Crude Cumulative Incidence in Long Follow-Ups: Model Choice and Predictive Ability Evaluation
Introduction In clinical studies evaluating therapies for major diseases such as cancer, overall survival (OS) is a gold standard endpoint. Yet OS blends multiple failure causes and can obscure the actual burden of disease- or treatment-related events. In long follow-ups, competing risks (e.g., non-disease death) influence observed outcomes and make crude cumulative incidence (CIF) a…
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Modeling Strategies for Flexible Estimation of Crude Cumulative Incidence in Long Follow-Ups
Introduction: Why crude cumulative incidence matters in long follow-ups In clinical studies evaluating therapeutic interventions, overall survival is a well-established endpoint. However, crude cumulative incidence (CCI) offers a direct view of event probabilities when competing risks are present. When follow-up is prolonged, standard methods can misestimate CCI due to time-varying hazards and changing risk profiles.…
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Crude Cumulative Incidence: Flexible Estimation Methods
Introduction In clinical research, overall survival (OS) has long been the standard endpoint for assessing therapies. Yet OS conflates several competing events that shape patient risk trajectories over extended follow-up. Crude cumulative incidence (CIF) provides a direct, clinically interpretable estimate of the probability that a specific event occurs over time while accounting for competing risks.…