Categorizing prognostic variables is essential for their use in clinical decision‐making. Often
a single cutpoint that stratifies patients into high‐risk and low‐risk categories is sought …

Besides investigations on etiology, epidemiology, and the evaluation of therapies, the
identification and assessment of prognostic factors constitutes one of the major tasks in …

Studies of new prognostic factors form an extensive part of the literature of oncology. Recent
examples published in this journal include studies of patients with primary cerebral …

This is an expository paper which reviews the rationale for determining prognostic factors
and the statistical methods for finding and allowing for such factors in the design and …

Prognostic classification schemes have often been used in medical applications, but rarely
subjected to a rigorous examination of their adequacy. For survival data, the statistical …

Abstract The American Joint Committee on Cancer proposes the following criteria for
evaluating putative prognostic factors: they must be (1) significant,(2) independent, and (3) …

Survival analysis involves the consideration of the time between a fixed starting point (eg
diagnosis of cancer) and a terminating event (eg death). The key feature that distinguishes …

The literature is filled with examples of categorization of a continuous prognostic variable in
a univariable setting followed by the addition of this categorical variable to an existing …

Multivariable prognostic models are widely used in cancer and other disease areas, and
have a range of applications in clinical medicine, clinical trials and allocation of health …

In clinical research the assessment of prognostic factors is often based on the division of the
patients into two groups: a high risk and a low risk group. A common strategy is to select an …