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Biometrical Journal. Biometrische Zeitschrift

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https://www.readbyqxmd.com/read/28508545/comparison-of-joint-modeling-and-landmarking-for-dynamic-prediction-under-an-illness-death-model
#1
Krithika Suresh, Jeremy M G Taylor, Daniel E Spratt, Stephanie Daignault, Alexander Tsodikov
Dynamic prediction incorporates time-dependent marker information accrued during follow-up to improve personalized survival prediction probabilities. At any follow-up, or "landmark", time, the residual time distribution for an individual, conditional on their updated marker values, can be used to produce a dynamic prediction. To satisfy a consistency condition that links dynamic predictions at different time points, the residual time distribution must follow from a prediction function that models the joint distribution of the marker process and time to failure, such as a joint model...
May 16, 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/28508431/a-spatially-balanced-design-with-probability-function-proportional-to-the-within-sample-distance
#2
Roberto Benedetti, Federica Piersimoni
The units observed in a biological, agricultural, and environmental survey are often randomly selected from a finite population whose main feature is to be geo-referenced thus its spatial distribution should be used as essential information in designing the sample. In particular our interest is focused on probability samples that are well spread over the population in every dimension which in recent literature are defined as spatially balanced samples. To approach the problem we used the within sample distance as the summary index of the spatial distribution of a random selection criterion...
May 16, 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/28504870/a-critical-evaluation-of-the-current-p-value-controversy
#3
REVIEW
Stefan Wellek
This article has been triggered by the initiative launched in March 2016 by the Board of Directors of the American Statistical Association (ASA) to counteract the current p-value focus of statistical research practices that allegedly "have contributed to a reproducibility crisis in science." It is pointed out that in the very wide field of statistics applied to medicine, many of the problems raised in the ASA statement are not as severe as in the areas the authors may have primarily in mind, although several of them are well-known experts in biostatistics and epidemiology...
May 15, 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/28503762/contribution-to-the-discussion-of-a-critical-evaluation-of-the-current-p-value-controversy
#4
Mauro Gasparini
No abstract text is available yet for this article.
May 15, 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/28480583/editorial-for-the-special-topic-on-multiple-comparison-procedures
#5
Ajit C Tamhane
No abstract text is available yet for this article.
May 8, 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/28471053/contribution-to-the-discussion-of-the-paper-by-stefan-wellek-a-critical-evaluation-of-the-current-p-value-controversy
#6
Alessio Farcomeni
No abstract text is available yet for this article.
May 4, 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/28464322/comparing-dependent-kappa-coefficients-obtained-on-multilevel-data
#7
Sophie Vanbelle
Reliability and agreement are two notions of paramount importance in medical and behavioral sciences. They provide information about the quality of the measurements. When the scale is categorical, reliability and agreement can be quantified through different kappa coefficients. The present paper provides two simple alternatives to more advanced modeling techniques, which are not always adequate in case of a very limited number of subjects, when comparing several dependent kappa coefficients obtained on multilevel data...
May 2, 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/28464317/joint-analysis-of-longitudinal-and-survival-aids-data-with-a-spatial-fraction-of-long-term-survivors-a-bayesian-approach
#8
Rui Martins, Giovani L Silva, Valeska Andreozzi
A typical survival analysis with time-dependent covariates usually does not take into account the possible random fluctuations or the contamination by measurement errors of the variables. Ignoring these sources of randomness may cause bias in the estimates of the model parameters. One possible way for overcoming that limitation is to consider a longitudinal model for the time-varying covariates jointly with a survival model for the time to the event of interest, thereby taking advantage of the complementary information flowing between these two-model outcomes...
May 2, 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/28452192/contribution-to-the-discussion-of-a-critical-evaluation-of-the-current-p-value-controversy
#9
Stephen Senn
I pick up a very few points of minor disagreement with Stefan Wellek's comprehensive review of P-values in this journal. I conclude that P-values have a limited function in statistical inference but can nevertheless have their uses.
April 27, 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/28440065/contribution-to-the-discussion-of-a-critical-evaluation-of-the-current-p-value-controversy
#10
Jelle J Goeman
No abstract text is available yet for this article.
April 25, 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/28436123/an-improved-uniformly-more-powerful-exact-fisher-hayter-pairwise-comparisons-procedure
#11
Bushi Wang, Xinping Cui
Pairwise comparison is a very common multiple comparison problem. It is known that Fisher's LSD test does not control the familywise error rate (FWER) when there are more than three groups to be compared. Improved testing strategies include the Tukey-Kramer (TK) test that eliminates the F-test step and the two-step Fisher-Hayter (FH) test which requires a significant F-test. We propose a modified FH-test that is uniformly more powerful than the original version and relies on exact size α test under the balanced model...
April 24, 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/28436113/using-predictions-from-a-joint-model-for-longitudinal-and-survival-data-to-inform-the-optimal-time-of-intervention-in-an-abdominal-aortic-aneurysm-screening-programme
#12
Michael J Sweeting
Joint models of longitudinal and survival data can be used to predict the risk of a future event occurring based on the evolution of an endogenous biomarker measured repeatedly over time. This has led naturally to the use of dynamic predictions that update each time a new longitudinal measurement is provided. In this paper, we show how such predictions can be utilised within a fuller decision modelling framework, in particular to allow planning of future interventions for patients under a 'watchful waiting' care pathway...
April 24, 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/28436052/clustering-multiply-imputed-multivariate-high-dimensional-longitudinal-profiles
#13
Liesbeth Bruckers, Geert Molenberghs, Paul Dendale
In this paper, we propose a method to cluster multivariate functional data with missing observations. Analysis of functional data often encompasses dimension reduction techniques such as principal component analysis (PCA). These techniques require complete data matrices. In this paper, the data are completed by means of multiple imputation, and subsequently each imputed data set is submitted to a cluster procedure. The final partition of the data, summarizing the partitions obtained for the imputed data sets, is obtained by means of ensemble clustering...
April 24, 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/28436047/propensity-scores-based-methods-for-estimating-average-treatment-effect-and-average-treatment-effect-among-treated-a-comparative-study
#14
Younathan Abdia, K B Kulasekera, Somnath Datta, Maxwell Boakye, Maiying Kong
Propensity score based statistical methods, such as matching, regression, stratification, inverse probability weighting (IPW), and doubly robust (DR) estimating equations, have become popular in estimating average treatment effect (ATE) and average treatment effect among treated (ATT) in observational studies. Propensity score is the conditional probability receiving a treatment assignment with given covariates, and propensity score is usually estimated by logistic regression. However, a misspecification of the propensity score model may result in biased estimates for ATT and ATE...
April 24, 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/28436042/are-p-values-under-attack-contribution-to-the-discussion-of-a-critical-evaluation-of-the-current-p-value-controversy-%C3%A2
#15
Walter W Piegorsch
No abstract text is available yet for this article.
April 24, 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/28429579/contribution-to-the-discussion-of-a-critical-evaluation-of-the-current-p-value-controversy
#16
Aldo Solari
No abstract text is available yet for this article.
April 21, 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/28429573/comment-on-a-critical-evaluation-of-the-current-p-value-controversy-%C3%A2
#17
Peter Bauer
No abstract text is available yet for this article.
April 21, 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/28393396/an-empirical-bayes-approach-to-network-recovery-using-external-knowledge
#18
Gino B Kpogbezan, Aad W van der Vaart, Wessel N van Wieringen, Gwenaël G R Leday, Mark A van de Wiel
Reconstruction of a high-dimensional network may benefit substantially from the inclusion of prior knowledge on the network topology. In the case of gene interaction networks such knowledge may come for instance from pathway repositories like KEGG, or be inferred from data of a pilot study. The Bayesian framework provides a natural means of including such prior knowledge. Based on a Bayesian Simultaneous Equation Model, we develop an appealing Empirical Bayes (EB) procedure that automatically assesses the agreement of the used prior knowledge with the data at hand...
April 10, 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/28370196/a-unified-framework-for-weighted-parametric-multiple-test-procedures
#19
Dong Xi, Ekkehard Glimm, Willi Maurer, Frank Bretz
We describe a general framework for weighted parametric multiple test procedures based on the closure principle. We utilize general weighting strategies that can reflect complex study objectives and include many procedures in the literature as special cases. The proposed weighted parametric tests bridge the gap between rejection rules using either adjusted significance levels or adjusted p-values. This connection is made by allowing intersection hypotheses of the underlying closed test procedure to be tested at level smaller than α...
March 29, 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/28332222/multinomial-additive-hazard-model-to-assess-the-disability-burden-using-cross-sectional-data
#20
Renata T C Yokota, Herman Van Oyen, Caspar W N Looman, Wilma J Nusselder, Martin Otava, Yimer Wasihun Kifle, Geert Molenberghs
Population aging is accompanied by the burden of chronic diseases and disability. Chronic diseases are among the main causes of disability, which is associated with poor quality of life and high health care costs in the elderly. The identification of which chronic diseases contribute most to the disability prevalence is important to reduce the burden. Although longitudinal studies can be considered the gold standard to assess the causes of disability, they are costly and often with restricted sample size. Thus, the use of cross-sectional data under certain assumptions has become a popular alternative...
March 23, 2017: Biometrical Journal. Biometrische Zeitschrift
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