5 papers · 1 filter
Calibration of prediction rules for life-time outcomes using prognostic Cox regression survival models and multiple imputations to account for missing predictor data with cross-validatory assessment
Bart J. A. Mertens
In this paper, we expand the methodology presented in Mertens et. al (2020, Biometrical Journal) to the study of life-time (survival) outcome which is subject to censoring and when…
Construction and assessment of prediction rules for binary outcome in the presence of missing predictor data using multiple imputation: theoretical perspective and data-based evaluation
B. J. A. Mertens, E. Banzato, L. C. de Wreede
We investigate the problem of calibration and assessment of predictive rules in prognostic designs when missing values are present in the predictors. Our paper has two key objectiv…
Adapting censored regression methods to adjust for the limit of detection in the calibration of diagnostic rules for clinical mass spectrometry proteomic data
Alexia Kakourou, Werner Vach, Bart Mertens
Despite the recent advances in mass spectrometry (MS), summarizing and analyzing high-throughput mass-spectrometry data remains a challenging task. This is, on the one hand, due to…
Transformation, normalization and batch effect in the analysis of mass spectrometry data for omics studies
Bart J. A. Mertens
Data transformation, normalization and handling of batch effect are a key part of data analysis for almost all spectrometry-based omics data. This paper reviews and contrasts these…
Statistical development and assessment of summary measures to account for isotopic clustering of Fourier transform mass spectrometry data in clinical diagnostic studies
Alexia Kakourou, Werner Vach, Simone Nicolardi +2
Mass spectrometry based clinical proteomics has emerged as a powerful tool for highthroughput protein profiling and biomarker discovery. Recent improvements in mass spectrometry te…