Evaluating the effect of optimized cutoff values in the assessment of prognostic factors

DOI10.1016/0167-9473(95)00016-XzbMath0875.62567MaRDI QIDQ672077

Martin Schumacher, Berthold Lausen

Publication date: 27 February 1997

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

zbMATH Keywords

Censored dataAssessment of prognostic factorsMaximally selected test statisticsOptimization of cutoff values

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (17)

Erosion of Regression Effect in a Survival Study ⋮ Semiparametric smoothing of discrete failure time data ⋮ Optimal partitioning for the proportional hazards model ⋮ Binary surrogates with stratified samples when weights are unknown ⋮ Double-bagging: Combining classifiers by bootstrap aggregation ⋮ Cutpoint selection for discretizing a continuous covariate for generalized estimating equations ⋮ A smooth nonparametric approach to determining cut-points of a continuous scale ⋮ Generalized Maximally Selected Statistics ⋮ On the exact distribution of maximally selected rank statistics ⋮ Multivariable regression model building by using fractional polynomials: description of SAS, STATA and R programs ⋮ Estimating the functional form of a continuous covariate's effect on survival time ⋮ Robust binary regression with continuous outcomes ⋮ A cautionary note on segmenting a cyclical covariate by minimum \(P\)\,-\,value search. ⋮ Determining cutoff values of prognostic factors in survival data with competing risks ⋮ Maximally selected chi-squared statistics and non-monotonic associations: an exact approach based on two cutpoints ⋮ An application of changepoint methods in studying the effect of age on survival in breast cancer. ⋮ Bias and efficiency loss due to categorizing an explanatory variable.

Uses Software

• AS 183

Cites Work

• Local Likelihood Estimation
• Maximally Selected Chi Square Statistics
• An upper bound for the probability of a union
• Confidence Sets in Change-Point Problems
• Testing for a Two-Phase Multiple Regression
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