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Generalized parametric cure models for relative survival Early View

  • Journal: Biometrical Journal
  • Authors: Lasse Hjort Jakobsen, Martin Bøgsted, Mark Clements
  • Published Date: Jan 20, 2020

Abstract Cure models are used in time‐to‐event analysis when not all individuals are expected to experience the event of interest, or when the survival of the considered individuals reaches the same...

Approaches for missing covariate data in logistic regression with MNAR sensitivity analyses Early View

  • Journal: Biometrical Journal
  • Authors: Ralph C. Ward, Robert Neal Axon, Mulugeta Gebregziabher
  • Published Date: Jan 20, 2020

Abstract Data with missing covariate values but fully observed binary outcomes are an important subset of the missing data challenge. Common approaches are complete case analysis (CCA) and multiple...

Developing risk models for multicenter data using standard logistic regression produced suboptimal predictions: A simulation study Early View

  • Journal: Biometrical Journal
  • Authors: Laure Wynants, Dirk Timmerman, Ben Van Calster, Nora Falconieri
  • Published Date: Jan 20, 2020

Abstract Although multicenter data are common, many prediction model studies ignore this during model development. The objective of this study is to evaluate the predictive performance of regression...

The effect of treatment delay on time‐to‐recovery in the presence of unobserved heterogeneity Early View

  • Journal: Biometrical Journal
  • Authors: Nan Geloven, Theodor A. Balan, Hein Putter, Saskia le Cessie
  • Published Date: Jan 20, 2020

Abstract We study the effect of delaying treatment in the presence of (unobserved) heterogeneity. In a homogeneous population and assuming a proportional treatment effect, a treatment delay period...

A design criterion for symmetric model discrimination based on flexible nominal sets Early View

  • Journal: Biometrical Journal
  • Authors: Radoslav Harman, Werner G. Müller
  • Published Date: Jan 20, 2020

Abstract Experimental design applications for discriminating between models have been hampered by the assumption to know beforehand which model is the true one, which is counter to the very aim of the...

A simple method for correcting for the Will Rogers phenomenon with biometrical applications Early View

  • Journal: Biometrical Journal
  • Authors: Mark Stander, Julian Stander
  • Published Date: Jan 20, 2020

Abstract In its basic form, the Will Rogers phenomenon takes place when an increase in the average value of each of two sets is achieved by moving an element from one set to another. This leads to the...

Modeling tails for collinear data with outliers in the English Longitudinal Study of Ageing: Quantile profile regression Early View

  • Journal: Biometrical Journal
  • Authors: Xi Liu, Silvia Liverani, Kimberley J. Smith, Keming Yu
  • Published Date: Jan 20, 2020

Abstract Research has shown that high blood glucose levels are important predictors of incident diabetes. However, they are also strongly associated with other cardiometabolic risk factors such as...

Population size estimation with interval censored counts and external information: Prevalence of multiple sclerosis in Rome Early View

  • Journal: Biometrical Journal
  • Authors: Alessio Farcomeni
  • Published Date: Jan 20, 2020

Abstract We discuss Bayesian log‐linear models for incomplete contingency tables with both missing and interval censored cells, with the aim of obtaining reliable population size estimates. We also...

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