Small area estimation of proportions with different levels of auxiliary data
Biometrical Journal,Volume 60, Issue 2, Page 395-415, March 2018. (Source: Biometrical Journal)
Source: Biometrical Journal - January 19, 2018 Category: Biotechnology Source Type: research
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Biometrical Journal, Ahead of Print. (Source: Biometrical Journal)
Source: Biometrical Journal - January 19, 2018 Category: Biotechnology Source Type: research
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Biometrical Journal,Volume 60, Issue 2, Page 395-415, March 2018. (Source: Biometrical Journal)
Source: Biometrical Journal - January 19, 2018 Category: Biotechnology Source Type: research
Evaluating the effects of rater and subject factors on measures of association
Abstract
Large‐scale agreement studies are becoming increasingly common in medical settings to gain better insight into discrepancies often observed between experts' classifications. Ordered categorical scales are routinely used to classify subjects' disease and health conditions. Summary measures such as Cohen's weighted kappa are popular approaches for reporting levels of association for pairs of raters' ordinal classifications. However, in large‐scale studies with many raters, assessing levels of association can be challenging due to dependencies between many raters each grading the same sample of subjects' results ...
Source: Biometrical Journal - January 19, 2018 Category: Biotechnology Authors: Kerrie P. Nelson, Aya A. Mitani, Don Edwards Tags: RESEARCH PAPER Source Type: research
Reconstruction of molecular network evolution from cross ‐sectional omics data
Biometrical Journal, EarlyView. (Source: Biometrical Journal)
Source: Biometrical Journal - January 10, 2018 Category: Biotechnology Source Type: research
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Biometrical Journal, Ahead of Print. (Source: Biometrical Journal)
Source: Biometrical Journal - January 10, 2018 Category: Biotechnology Source Type: research
Variable selection – A review and recommendations for the practicing statistician
Biometrical Journal, EarlyView. (Source: Biometrical Journal)
Source: Biometrical Journal - January 2, 2018 Category: Biotechnology Source Type: research
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Biometrical Journal, Ahead of Print. (Source: Biometrical Journal)
Source: Biometrical Journal - January 2, 2018 Category: Biotechnology Source Type: research
Contents: Biometrical Journal 1'18
(Source: Biometrical Journal)
Source: Biometrical Journal - January 2, 2018 Category: Biotechnology Tags: CONTENTS Source Type: research
Masthead: Biometrical Journal 1'18
(Source: Biometrical Journal)
Source: Biometrical Journal - January 2, 2018 Category: Biotechnology Tags: MASTHEAD Source Type: research
Editorial Board: Biometrical Journal 1'18
(Source: Biometrical Journal)
Source: Biometrical Journal - January 2, 2018 Category: Biotechnology Tags: EDITORIAL BOARD Source Type: research
Cover Picture: Biometrical Journal 1'18
(Source: Biometrical Journal)
Source: Biometrical Journal - January 2, 2018 Category: Biotechnology Tags: COVER PICTURE Source Type: research
Hypothesis tests for stratified mark ‐specific proportional hazards models with missing covariates, with application to HIV vaccine efficacy trials
This article develops hypothesis testing procedures for the stratified mark‐specific proportional hazards model with missing covariates where the baseline functions may vary with strata. The mark‐specific proportional hazards model has been studied to evaluate mark‐specific relative risks where the mark is the genetic distance of an infecting HIV sequence to an HIV sequence represented inside the vaccine. This research is motivated by analyzing the RV144 phase 3 HIV vaccine efficacy trial, to understand associations of immune response biomarkers on the mark‐specific hazard of HIV infection, where the biomarkers are...
Source: Biometrical Journal - January 1, 2018 Category: Biotechnology Authors: Yanqing Sun, Li Qi, Guangren Yang, Peter B. Gilbert Tags: RESEARCH PAPER Source Type: research
Bayesian nonparametric inference for panel count data with an informative observation process
Abstract
In this paper, the panel count data analysis for recurrent events is considered. Such analysis is useful for studying tumor or infection recurrences in both clinical trial and observational studies. A bivariate Gaussian Cox process model is proposed to jointly model the observation process and the recurrent event process. Bayesian nonparametric inference is proposed for simultaneously estimating regression parameters, bivariate frailty effects, and baseline intensity functions. Inference is done through Markov chain Monte Carlo, with fully developed computational techniques. Predictive inference is also discussed ...
Source: Biometrical Journal - January 1, 2018 Category: Biotechnology Authors: Ye Liang, Yang Li, Bin Zhang Tags: RESEARCH PAPER Source Type: research
Gernot Wassmer and Werner Brannath. GROUP SEQUENTIAL AND CONFIRMATORY ADAPTIVE DESIGNS IN CLINICAL TRIALS.(2016). Heidelberg: Springer. 301 pages, ISBN: 9783319325606
(Source: Biometrical Journal)
Source: Biometrical Journal - January 1, 2018 Category: Biotechnology Authors: Kevin Kunzmann Tags: BOOK REVIEW Source Type: research
