Editorial Board: Biometrical Journal 5'17
(Source: Biometrical Journal)
Source: Biometrical Journal - September 1, 2017 Category: Biotechnology Tags: Editorial Board Source Type: research
Cover Picture: Biometrical Journal 5'17
(Source: Biometrical Journal)
Source: Biometrical Journal - September 1, 2017 Category: Biotechnology Tags: Cover Picture Source Type: research
A comparison of group prediction approaches in longitudinal discriminant analysis
Biometrical Journal,Volume 60, Issue 2, Page 307-322, March 2018. (Source: Biometrical Journal)
Source: Biometrical Journal - August 21, 2017 Category: Biotechnology Source Type: research
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Biometrical Journal,Volume 60, Issue 2, Page 307-322, March 2018. (Source: Biometrical Journal)
Source: Biometrical Journal - August 21, 2017 Category: Biotechnology Source Type: research
Dynamic predictions with time ‐dependent covariates in survival analysis using joint modeling and landmarking
A key question in clinical practice is accurate prediction of patient prognosis. To this end, nowadays, physicians have at their disposal a variety of tests and biomarkers to aid them in optimizing medical care. These tests are often performed on a regular basis in order to closely follow the progression of the disease. In this setting, it is of interest to optimally utilize the recorded information and provide medically relevant summary measures, such as survival probabilities, which will aid in decision making. In this work, we present and compare two statistical techniques that provide dynamically updated estimates of s...
Source: Biometrical Journal - August 9, 2017 Category: Biotechnology Authors: Dimitris Rizopoulos, Geert Molenberghs, Emmanuel M.E.H. Lesaffre Tags: RESEARCH PAPER Source Type: research
Addressing small sample size bias in multiple ‐biomarker trials: Inclusion of biomarker‐negative patients and Firth correction
Biometrical Journal,Volume 60, Issue 2, Page 275-287, March 2018. (Source: Biometrical Journal)
Source: Biometrical Journal - August 1, 2017 Category: Biotechnology Source Type: research
Prediction accuracy and variable selection for penalized cause ‐specific hazards models
Biometrical Journal,Volume 60, Issue 2, Page 288-306, March 2018. (Source: Biometrical Journal)
Source: Biometrical Journal - August 1, 2017 Category: Biotechnology Source Type: research
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Biometrical Journal,Volume 60, Issue 2, Page 275-287, March 2018. (Source: Biometrical Journal)
Source: Biometrical Journal - August 1, 2017 Category: Biotechnology Source Type: research
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Biometrical Journal,Volume 60, Issue 2, Page 288-306, March 2018. (Source: Biometrical Journal)
Source: Biometrical Journal - August 1, 2017 Category: Biotechnology Source Type: research
Addressing small sample size bias in multiple ‐biomarker trials: Inclusion of biomarker‐negative patients and Firth correction
Abstract
In recent years, numerous approaches for biomarker‐based clinical trials have been developed. One of these developments are multiple‐biomarker trials, which aim to investigate multiple biomarkers simultaneously in independent subtrials. For low‐prevalence biomarkers, small sample sizes within the subtrials have to be expected, as well as many biomarker‐negative patients at the screening stage. The small sample sizes may make it unfeasible to analyze the subtrials individually. This imposes the need to develop new approaches for the analysis of such trials. With an expected large group of biomarker‐negati...
Source: Biometrical Journal - August 1, 2017 Category: Biotechnology Authors: Christina Habermehl, Axel Benner, Annette Kopp ‐Schneider Tags: RESEARCH PAPER Source Type: research
Decision ‐theoretic designs for a series of trials with correlated treatment effects using the Sarmanov multivariate beta‐binomial distribution
Biometrical Journal,Volume 60, Issue 2, Page 232-245, March 2018. (Source: Biometrical Journal)
Source: Biometrical Journal - July 26, 2017 Category: Biotechnology Source Type: research
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Biometrical Journal,Volume 60, Issue 2, Page 232-245, March 2018. (Source: Biometrical Journal)
Source: Biometrical Journal - July 26, 2017 Category: Biotechnology Source Type: research
A flexible multivariate random effects proportional odds model with application to adverse effects during radiation therapy
We present a novel flexible multivariate random effects proportional odds model that takes account of the longitudinal course of oral mucositis at different mouth sites and of the radiation dosage (in terms of cumulative dose). The model is an extension of the proportional odds model that is used for ordinal response variables. Our model includes the ordinal multivariate response of the mucositis score by site, random intercepts for individuals, and a nonlinear function of cumulative radiation dose. The model allows to test whether sensitivity differs by mouth sites after having adjusted for site‐specific cumulative radi...
Source: Biometrical Journal - July 10, 2017 Category: Biotechnology Authors: Nicole H. Augustin, Sung Won Kim, Annemarie Uhlig, Christina Hanser, Michael Henke, Martin Schumacher Tags: Case Study Source Type: research
A comparison of bivariate, multivariate random ‐effects, and Poisson correlated gamma‐frailty models to meta‐analyze individual patient data of ordinal scale diagnostic tests
Individual patient data (IPD) meta‐analyses are increasingly common in the literature. In the context of estimating the diagnostic accuracy of ordinal or semi‐continuous scale tests, sensitivity and specificity are often reported for a given threshold or a small set of thresholds, and a meta‐analysis is conducted via a bivariate approach to account for their correlation. When IPD are available, sensitivity and specificity can be pooled for every possible threshold. Our objective was to compare the bivariate approach, which can be applied separately at every threshold, to two multivariate methods: the ordinal multivar...
Source: Biometrical Journal - July 10, 2017 Category: Biotechnology Authors: Gabrielle Simoneau, Brooke Levis, Pim Cuijpers, John P. A. Ioannidis, Scott B. Patten, Ian Shrier, Charles H. Bombardier, Flavia de Lima Os ório, Jesse R. Fann, Dwenda Gjerdingen, Femke Lamers, Manote Lotrakul, Bernd Löwe, Juwita Shaaban, Lesley Staffor Tags: Research Paper Source Type: research
Editorial: Special section on latent variable models for longitudinal data
(Source: Biometrical Journal)
Source: Biometrical Journal - July 5, 2017 Category: Biotechnology Authors: Francesco Bartolucci, Paolo Giordani Tags: Short Communication Source Type: research
