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Biometrical Journal. Biometrische Zeitschrift

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https://www.readbyqxmd.com/read/29029359/a-probabilistic-network-for-the-diagnosis-of-acute-cardiopulmonary-diseases
#1
Alessandro Magrini, Davide Luciani, Federico M Stefanini
In this paper, the development of a probabilistic network for the diagnosis of acute cardiopulmonary diseases is presented in detail. A panel of expert physicians collaborated to specify the qualitative part, which is a directed acyclic graph defining a factorization of the joint probability distribution of domain variables into univariate conditional distributions. The quantitative part, which is a set of parametric models defining these univariate conditional distributions, was estimated following the Bayesian paradigm...
October 13, 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/29023990/selection-of-composite-binary-endpoints-in-clinical-trials
#2
Marta Bofill Roig, Guadalupe Gómez Melis
The choice of a primary endpoint is an important issue when designing a clinical trial. It is common to use composite endpoints as a primary endpoint because it increases the number of observed events, captures more information and is expected to increase the power. However, combining events that have no similar clinical importance and have different treatment effects makes the interpretation of the results cumbersome and might reduce the power of the corresponding tests. Gómez and Lagakos proposed the ARE (asymptotic relative efficiency) method to choose between a composite or one of its components as primary endpoint comparing the efficacy of a treatment based on the times to each of these endpoints...
October 12, 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/28990686/hierarchical-imputation-of-systematically-and-sporadically-missing-data-an-approximate-bayesian-approach-using-chained-equations
#3
Shahab Jolani
In health and medical sciences, multiple imputation (MI) is now becoming popular to obtain valid inferences in the presence of missing data. However, MI of clustered data such as multicenter studies and individual participant data meta-analysis requires advanced imputation routines that preserve the hierarchical structure of data. In clustered data, a specific challenge is the presence of systematically missing data, when a variable is completely missing in some clusters, and sporadically missing data, when it is partly missing in some clusters...
October 9, 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/28960416/multiple-sensitive-estimation-and-optimal-sample-size-allocation-in-the-item-sum-technique
#4
Pier Francesco Perri, María Del Mar Rueda García, Beatriz Cobo Rodríguez
For surveys of sensitive issues in life sciences, statistical procedures can be used to reduce nonresponse and social desirability response bias. Both of these phenomena provoke nonsampling errors that are difficult to deal with and can seriously flaw the validity of the analyses. The item sum technique (IST) is a very recent indirect questioning method derived from the item count technique that seeks to procure more reliable responses on quantitative items than direct questioning while preserving respondents' anonymity...
September 27, 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/28910499/joint-model-selection-of-marginal-mean-regression-and-correlation-structure-for-longitudinal-data-with-missing-outcome-and-covariates
#5
Chung-Wei Shen, Yi-Hau Chen
This work develops a joint model selection criterion for simultaneously selecting the marginal mean regression and the correlation/covariance structure in longitudinal data analysis where both the outcome and the covariate variables may be subject to general intermittent patterns of missingness under the missing at random mechanism. The new proposal, termed "joint longitudinal information criterion" (JLIC), is based on the expected quadratic error for assessing model adequacy, and the second-order weighted generalized estimating equation (WGEE) estimation for mean and covariance models...
September 14, 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/28898444/a-sequential-test-for-assessing-observed-agreement-between-raters
#6
Sotiris Bersimis, Athanasios Sachlas, Subha Chakraborti
Assessing the agreement between two or more raters is an important topic in medical practice. Existing techniques, which deal with categorical data, are based on contingency tables. This is often an obstacle in practice as we have to wait for a long time to collect the appropriate sample size of subjects to construct the contingency table. In this paper, we introduce a nonparametric sequential test for assessing agreement, which can be applied as data accrues, does not require a contingency table, facilitating a rapid assessment of the agreement...
September 12, 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/28898442/bayesian-estimation-of-multivariate-normal-mixtures-with-covariate-dependent-mixing-weights-with-an-application-in-antimicrobial-resistance-monitoring
#7
Stijn Jaspers, Arnošt Komárek, Marc Aerts
Bacteria with a reduced susceptibility against antimicrobials pose a major threat to public health. Therefore, large programs have been set up to collect minimum inhibition concentration (MIC) values. These values can be used to monitor the distribution of the nonsusceptible isolates in the general population. Data are collected within several countries and over a number of years. In addition, the sampled bacterial isolates were not tested for susceptibility against one antimicrobial, but rather against an entire range of substances...
September 12, 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/28833412/a-comparison-of-group-prediction-approaches-in-longitudinal-discriminant-analysis
#8
David M Hughes, Riham El Saeiti, Marta García-Fiñana
Longitudinal discriminant analysis (LoDA) can be used to classify patients into prognostic groups based on their clinical history, which often involves longitudinal measurements of various clinically relevant markers. Patients' longitudinal data is first modelled using multivariate generalised linear mixed models, allowing markers of different types (e.g. continuous, binary, counts) to be modelled simultaneously. We describe three approaches to calculating a patient's posterior group membership probabilities which have been outlined in previous studies, based on the marginal distribution of the longitudinal markers, conditional distribution and distribution of the random effects...
August 21, 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/28799274/bayesian-joint-modeling-of-bivariate-longitudinal-and-competing-risks-data-an-application-to-study-patient-ventilator-asynchronies-in-critical-care-patients
#9
Montserrat Rué, Eleni-Rosalina Andrinopoulou, Danilo Alvares, Carmen Armero, Anabel Forte, Lluis Blanch
Mechanical ventilation is a common procedure of life support in intensive care. Patient-ventilator asynchronies (PVAs) occur when the timing of the ventilator cycle is not simultaneous with the timing of the patient respiratory cycle. The association between severity markers and the events death or alive discharge has been acknowledged before, however, little is known about the addition of PVAs data to the analyses. We used an index of asynchronies (AI) to measure PVAs and the SOFA (sequential organ failure assessment) score to assess overall severity...
August 11, 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/28796339/flexible-bayesian-additive-joint-models-with-an-application-to-type-1-diabetes-research
#10
Meike Köhler, Nikolaus Umlauf, Andreas Beyerlein, Christiane Winkler, Anette-Gabriele Ziegler, Sonja Greven
The joint modeling of longitudinal and time-to-event data is an important tool of growing popularity to gain insights into the association between a biomarker and an event process. We develop a general framework of flexible additive joint models that allows the specification of a variety of effects, such as smooth nonlinear, time-varying and random effects, in the longitudinal and survival parts of the models. Our extensions are motivated by the investigation of the relationship between fluctuating disease-specific markers, in this case autoantibodies, and the progression to the autoimmune disease type 1 diabetes...
August 10, 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/28792080/dynamic-predictions-with-time-dependent-covariates-in-survival-analysis-using-joint-modeling-and-landmarking
#11
Dimitris Rizopoulos, Geert Molenberghs, Emmanuel M E H Lesaffre
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...
August 9, 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/28792074/random-walk-designs-for-selecting-pool-sizes-in-group-testing-estimation-with-small-samples
#12
Gregory Haber, Yaakov Malinovsky
Group testing estimation, which utilizes pooled rather than individual units for testing, has been an ongoing area of research for over six decades. While it is often argued that such methods can yield large savings in terms of resources and/or time, these benefits depend very much on the initial choice of pool sizes. In fact, when poor group sizes are used, the results can be much worse than those obtained using standard techniques. Tools for addressing this problem in the literature have been based on either large sample results or prior knowledge of the parameter being estimated, with little guidance when these assumptions are not met...
August 9, 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/28762532/addressing-small-sample-size-bias-in-multiple-biomarker-trials-inclusion-of-biomarker-negative-patients-and-firth-correction
#13
Christina Habermehl, Axel Benner, Annette Kopp-Schneider
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...
August 1, 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/28762523/prediction-accuracy-and-variable-selection-for-penalized-cause-specific-hazards-models
#14
Maral Saadati, Jan Beyersmann, Annette Kopp-Schneider, Axel Benner
We consider modeling competing risks data in high dimensions using a penalized cause-specific hazards (CSHs) approach. CSHs have conceptual advantages that are useful for analyzing molecular data. First, working on hazards level can further understanding of the underlying biological mechanisms that drive transition hazards. Second, CSH models can be used to extend the multistate framework for high-dimensional data. The CSH approach is implemented by fitting separate proportional hazards models for each event type (iCS)...
August 1, 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/28744892/decision-theoretic-designs-for-a-series-of-trials-with-correlated-treatment-effects-using-the-sarmanov-multivariate-beta-binomial-distribution
#15
Siew Wan Hee, Nicholas Parsons, Nigel Stallard
The motivation for the work in this article is the setting in which a number of treatments are available for evaluation in phase II clinical trials and where it may be infeasible to try them concurrently because the intended population is small. This paper introduces an extension of previous work on decision-theoretic designs for a series of phase II trials. The program encompasses a series of sequential phase II trials with interim decision making and a single two-arm phase III trial. The design is based on a hybrid approach where the final analysis of the phase III data is based on a classical frequentist hypothesis test, whereas the trials are designed using a Bayesian decision-theoretic approach in which the unknown treatment effect is assumed to follow a known prior distribution...
July 26, 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/28863241/editorial-for-the-discussion-papers-on-the-p-value-controversy
#16
Marco Alfò, Dankmar Böhning
No abstract text is available yet for this article.
September 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/28692751/multilevel-covariance-regression-with-correlated-random-effects-in-the-mean-and-variance-structure
#17
Adrian Quintero, Emmanuel Lesaffre
Multivariate regression methods generally assume a constant covariance matrix for the observations. In case a heteroscedastic model is needed, the parametric and nonparametric covariance regression approaches can be restrictive in the literature. We propose a multilevel regression model for the mean and covariance structure, including random intercepts in both components and allowing for correlation between them. The implied conditional covariance function can be different across clusters as a result of the random effect in the variance structure...
September 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/28660641/author-response-to-the-contributors-to-the-discussion-on-a-critical-evaluation-of-the-current-p-value-controversy
#18
Stefan Wellek
No abstract text is available yet for this article.
September 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/28626952/multivariate-binary-classification-of-imbalanced-datasets-a-case-study-based-on-high-dimensional-multiplex-autoimmune-assay-data
#19
Laura Schlieker, Anna Telaar, Angelika Lueking, Peter Schulz-Knappe, Carmen Theek, Katja Ickstadt
The classification of a population by a specific trait is a major task in medicine, for example when in a diagnostic setting groups of patients with specific diseases are identified, but also when in predictive medicine a group of patients is classified into specific disease severity classes that might profit from different treatments. When the sizes of those subgroups become small, for example in rare diseases, imbalances between the classes are more the rule than the exception and make statistical classification problematic when the error rate of the minority class is high...
September 2017: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/28605047/stratified-exact-tests-for-the-weak-causal-null-hypothesis-in-randomized-trials-with-a-binary-outcome
#20
Yasutaka Chiba
Fisher's exact test is commonly used to compare two groups when the outcome is binary in randomized trials. In the context of causal inference, this test explores the sharp causal null hypothesis (i.e. the causal effect of treatment is the same for all subjects), but not the weak causal null hypothesis (i.e. the causal risks are the same in the two groups). Therefore, in general, rejection of the null hypothesis by Fisher's exact test does not mean that the causal risk difference is not zero. Recently, Chiba (Journal of Biometrics and Biostatistics 2015; 6: 244) developed a new exact test for the weak causal null hypothesis when the outcome is binary in randomized trials; the new test is not based on any large sample theory and does not require any assumption...
September 2017: Biometrical Journal. Biometrische Zeitschrift
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