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Biometrical Journal, Ahead of Print. (Source: Biometrical Journal)
Source: Biometrical Journal - December 5, 2017 Category: Biotechnology Source Type: research
Estimating the DINA model parameters using the No ‐U‐Turn Sampler
Biometrical Journal,Volume 60, Issue 2, Page 352-368, March 2018. (Source: Biometrical Journal)
Source: Biometrical Journal - December 1, 2017 Category: Biotechnology Source Type: research
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Biometrical Journal,Volume 60, Issue 2, Page 352-368, March 2018. (Source: Biometrical Journal)
Source: Biometrical Journal - December 1, 2017 Category: Biotechnology Source Type: research
BAYESIAN METHODS FOR REPEATED MEASURES. Lyle D. Broemeling. Boca Raton: Chapman & Hall/CRC Press, 568 pages, ISBN 978 ‐1‐4822‐4819‐7
(Source: Biometrical Journal)
Source: Biometrical Journal - November 20, 2017 Category: Biotechnology Authors: Peter Congdon Tags: BOOK REVIEW Source Type: research
Two ‐stage model for multivariate longitudinal and survival data with application to nephrology research
Abstract
In many follow‐up studies different types of outcomes are collected including longitudinal measurements and time‐to‐event outcomes. Commonly, it is of interest to study the association between them. Joint modeling approaches of a single longitudinal outcome and survival process have recently gained increasing attention from both frequentist and Bayesian perspective. However, in many studies several longitudinal biomarkers are of interest and instead of selecting one single biomarker, the relationships between all these outcomes and their association with survival needs to be investigated. Our motivating stud...
Source: Biometrical Journal - November 15, 2017 Category: Biotechnology Authors: Ipek Guler, Christel Faes, Carmen Cadarso ‐Suárez, Laetitia Teixeira, Anabela Rodrigues, Denisa Mendonça Tags: Research Paper Source Type: research
H ‐likelihood approach for joint modeling of longitudinal outcomes and time‐to‐event data
Abstract
In longitudinal studies, a subject may have different types of outcomes that could be correlated. For example, a response variable of interest would be measured repeatedly over time on the same subject and at the same time, an event time representing a single event or competing‐risks event is also observed. In this paper, we propose a joint modeling framework that accounts for the inherent association between such multiple outcomes via frailties (unobserved random effects). Among outcomes, at least one outcome is an event time that has a type of a single event or competing‐risks event. For inference we use the...
Source: Biometrical Journal - November 15, 2017 Category: Biotechnology Authors: Il Do Ha, Maengseok Noh, Youngjo Lee Tags: Research Paper Source Type: research
Editorial “Joint modeling of longitudinal and time‐to‐event data and beyond”
(Source: Biometrical Journal)
Source: Biometrical Journal - November 15, 2017 Category: Biotechnology Authors: Carmen Cadarso Su árez, Nadja Klein, Thomas Kneib, Geert Molenberghs, Dimitris Rizopoulos Tags: Editorial Source Type: research
Contents: Biometrical Journal 6'17
(Source: Biometrical Journal)
Source: Biometrical Journal - November 15, 2017 Category: Biotechnology Tags: Contents Source Type: research
Masthead: Biometrical Journal 6'17
(Source: Biometrical Journal)
Source: Biometrical Journal - November 15, 2017 Category: Biotechnology Tags: Masthead Source Type: research
Editorial Board: Biometrical Journal 6'17
(Source: Biometrical Journal)
Source: Biometrical Journal - November 15, 2017 Category: Biotechnology Tags: Editorial Board Source Type: research
Cover Picture: Biometrical Journal 6'17
(Source: Biometrical Journal)
Source: Biometrical Journal - November 15, 2017 Category: Biotechnology Tags: Cover Picture Source Type: research
Asymptotic distributions of kappa statistics and their differences with many raters, many rating categories and two conditions
Abstract
In clinical research and in more general classification problems, a frequent concern is the reliability of a rating system. In the absence of a gold standard, agreement may be considered as an indication of reliability. When dealing with categorical data, the well‐known kappa statistic is often used to measure agreement. The aim of this paper is to obtain a theoretical result about the asymptotic distribution of the kappa statistic with multiple items, multiple raters, multiple conditions, and multiple rating categories (more than two), based on recent work. The result settles a long lasting quest for the asympt...
Source: Biometrical Journal - November 7, 2017 Category: Biotechnology Authors: Luca Grassano, Guido Pagana, Marco Daperno, Enrico Bibbona, Mauro Gasparini Tags: RESEARCH PAPER Source Type: research
Variable selection – A review and recommendations for the practicing statistician
Abstract
Statistical models support medical research by facilitating individualized outcome prognostication conditional on independent variables or by estimating effects of risk factors adjusted for covariates. Theory of statistical models is well‐established if the set of independent variables to consider is fixed and small. Hence, we can assume that effect estimates are unbiased and the usual methods for confidence interval estimation are valid. In routine work, however, it is not known a priori which covariates should be included in a model, and often we are confronted with the number of candidate variables in the ran...
Source: Biometrical Journal - November 1, 2017 Category: Biotechnology Authors: Georg Heinze, Christine Wallisch, Daniela Dunkler Tags: REVIEW ARTICLE Source Type: research
Multiple ‐rater kappas for binary data: Models and interpretation
Abstract
Interrater agreement on binary measurements with more than two raters is often assessed using Fleiss' κ, which is known to be difficult to interpret. In situations where the same raters rate all items, however, the far less known κ suggested by Conger, Hubert, and Schouten is more appropriate. We try to support the interpretation of these characteristics by investigating various models or scenarios of rating. Our analysis, which is restricted to binary data, shows that conclusions concerning interrater agreement by κ heavily depend on the population of items or subjects considered, even if the raters have ident...
Source: Biometrical Journal - November 1, 2017 Category: Biotechnology Authors: Dietrich Stoyan, Arne Pommerening, Manuela Hummel, Annette Kopp ‐Schneider Tags: RESEARCH PAPER Source Type: research
Local influence diagnostics for hierarchical finite ‐mixture random‐effects models
Abstract
The main objective of this paper is to evaluate the influence of individual subjects exerted on a random‐effects model for repeated measures, where the random effects follow a mixture distribution. The diagnostic tool is based on local influence with perturbation scheme that explicitly targets influences resulting from perturbing the mixture component probabilities. Bruckers, Molenberghs, Verbeke, and Geys (2016) considered a similar model, but focused on influences stemming from perturbing a subject's likelihood contributions as a whole. We also compare the two types of perturbation. Our results are illustrated...
Source: Biometrical Journal - November 1, 2017 Category: Biotechnology Authors: Trias Wahyuni Rakhmawati, Geert Molenberghs, Geert Verbeke, Christel Faes Tags: RESEARCH PAPER Source Type: research
