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Biometrical Journal. Biometrische Zeitschrift

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https://www.readbyqxmd.com/read/30003587/multivariate-multiple-test-procedures-based-on-nonparametric-copula-estimation
#1
André Neumann, Taras Bodnar, Dietmar Pfeifer, Thorsten Dickhaus
Multivariate multiple test procedures have received growing attention recently. This is due to the fact that data generated by modern applications typically are high-dimensional, but possess pronounced dependencies due to the technical mechanisms involved in the experiments. Hence, it is possible and often necessary to exploit these dependencies in order to achieve reasonable power. In the present paper, we express dependency structures in the most general manner, namely, by means of copula functions. One class of nonparametric copula estimators is constituted by Bernstein copulae...
July 12, 2018: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/30003579/beyond-mean-modelling-bias-due-to-misspecification-of-dispersion-in-poisson-inverse-gaussian-regression
#2
Gillian Z Heller, Dominique-Laurent Couturier, Stephane R Heritier
In clinical trials one traditionally models the effect of treatment on the mean response. The underlying assumption is that treatment affects the response distribution through a mean location shift on a suitable scale, with other aspects of the distribution (shape/dispersion/variance) remaining the same. This work is motivated by a trial in Parkinson's disease patients in which one of the endpoints is the number of falls during a 10-week period. Inspection of the data reveals that the Poisson-inverse Gaussian (PiG) distribution is appropriate, and that the experimental treatment reduces not only the mean, but also the variability, substantially...
July 12, 2018: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/29984423/stabilizing-cumulative-incidence-estimation-of-pregnancy-outcome-with-delayed-entries
#3
Valentin Rousson, Arthur Allignol, Alexandre Aurousseau, Ursula Winterfeld, Jan Beyersmann
A pregnancy may end up with (at least) three possible events: live birth, spontaneous abortion, or elective termination, yielding a competing risks issue when studying an association between a risk factor and a pregnancy outcome. Cumulative incidences (probabilities to end up with the different outcomes depending on gestational age) can be estimated via the Aalen-Johansen estimate. Another issue is that women are usually not entering such an observational study from the first day of pregnancy, resulting in delayed entries...
July 8, 2018: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/29978507/smoothed-quantile-regression-analysis-of-competing-risks
#4
Sangbum Choi, Sangwook Kang, Xuelin Huang
Censored quantile regression models, which offer great flexibility in assessing covariate effects on event times, have attracted considerable research interest. In this study, we consider flexible estimation and inference procedures for competing risks quantile regression, which not only provides meaningful interpretations by using cumulative incidence quantiles but also extends the conventional accelerated failure time model by relaxing some of the stringent model assumptions, such as global linearity and unconditional independence...
July 5, 2018: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/29943441/bayesian-variable-selection-logistic-regression-with-paired-proteomic-measurements
#5
Alexia Kakourou, Bart Mertens
We explore the problem of variable selection in a case-control setting with mass spectrometry proteomic data consisting of paired measurements. Each pair corresponds to a distinct isotope cluster and each component within pair represents a summary of isotopic expression based on either the intensity or the shape of the cluster. Our objective is to identify a collection of isotope clusters associated with the disease outcome and at the same time assess the predictive added-value of shape beyond intensity while maintaining predictive performance...
June 25, 2018: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/29943440/penalized-spline-smoothing-using-kaplan-meier-weights-with-censored-data
#6
Jesus Orbe, Jorge Virto
In this paper, we consider the problem of nonparametric curve fitting in the specific context of censored data. We propose an extension of the penalized splines approach using Kaplan-Meier weights to take into account the effect of censorship and generalized cross-validation techniques to choose the smoothing parameter adapted to the case of censored samples. Using various simulation studies, we analyze the effectiveness of the censored penalized splines method proposed and show that the performance is quite satisfactory...
June 25, 2018: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/29911355/using-secondary-outcome-to-sharpen-bounds-for-treatment-harm-rate-in-characterizing-heterogeneity
#7
Yunjian Yin, Zheng Cai, Xiao-Hua Zhou
In a clinical trial, statistical reports are typically concerned about the mean difference in two groups. Now there is increasing interest in the heterogeneity of the treatment effect, which has important implications in treatment evaluation and selection. The treatment harm rate (THR), which is defined by the proportion of people who has a worse outcome on the treatment compared to the control, was used to characterize the heterogeneity. Since THR involves the joint distribution of the two potential outcomes, it cannot be identified without further assumptions even in the randomized trials...
June 17, 2018: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/29876964/improved-two-stage-group-sequential-procedures-for-testing-a-secondary-endpoint-after-the-primary-endpoint-achieves-significance
#8
Huiling Li, Jianming Wang, Xiaolong Luo, Janis Grechko, Christopher Jennison
In two-stage group sequential trials with a primary and a secondary endpoint, the overall type I error rate for the primary endpoint is often controlled by an α-level boundary, such as an O'Brien-Fleming or Pocock boundary. Following a hierarchical testing sequence, the secondary endpoint is tested only if the primary endpoint achieves statistical significance either at an interim analysis or at the final analysis. To control the type I error rate for the secondary endpoint, this is tested using a Bonferroni procedure or any α-level group sequential method...
June 7, 2018: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/29845644/reward-ignorant-modeling-of-dynamic-treatment-regimes
#9
Michael P Wallace, Erica E M Moodie, David A Stephens
Personalized medicine optimizes patient outcome by tailoring treatments to patient-level characteristics. This approach is formalized by dynamic treatment regimes (DTRs): decision rules that take patient information as input and output recommended treatment decisions. The DTR literature has seen the development of increasingly sophisticated causal inference techniques that attempt to address the limitations of our typically observational datasets. Often overlooked, however, is that in practice most patients may be expected to receive optimal or near-optimal treatment, and so the outcome used as part of a typical DTR analysis may provide limited information...
May 30, 2018: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/29808507/cancer-phase-i-trial-design-using-drug-combinations-when-a-fraction-of-dose-limiting-toxicities-is-attributable-to-one-or-more-agents
#10
Jose L Jimenez, Mourad Tighiouart, Mauro Gasparini
Drug combination trials are increasingly common nowadays in clinical research. However, very few methods have been developed to consider toxicity attributions in the dose escalation process. We are motivated by a trial in which the clinician is able to identify certain toxicities that can be attributed to one of the agents. We present a Bayesian adaptive design in which toxicity attributions are modeled via copula regression and the maximum tolerated dose (MTD) curve is estimated as a function of model parameters...
May 28, 2018: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/29808479/a-nonparametric-bayesian-basket-trial-design
#11
Yanxun Xu, Peter Müller, Apostolia M Tsimberidou, Donald Berry
Targeted therapies on the basis of genomic aberrations analysis of the tumor have shown promising results in cancer prognosis and treatment. Regardless of tumor type, trials that match patients to targeted therapies for their particular genomic aberrations have become a mainstream direction of therapeutic management of patients with cancer. Therefore, finding the subpopulation of patients who can most benefit from an aberration-specific targeted therapy across multiple cancer types is important. We propose an adaptive Bayesian clinical trial design for patient allocation and subpopulation identification...
May 28, 2018: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/29799138/a-new-multivariate-zero-adjusted-poisson-model-with-applications-to-biomedicine
#12
Yin Liu, Guo-Liang Tian, Man-Lai Tang, Kam Chuen Yuen
Recently, although advances were made on modeling multivariate count data, existing models really has several limitations: (i) The multivariate Poisson log-normal model (Aitchison and Ho, ) cannot be used to fit multivariate count data with excess zero-vectors; (ii) The multivariate zero-inflated Poisson (ZIP) distribution (Li et al., 1999) cannot be used to model zero-truncated/deflated count data and it is difficult to apply to high-dimensional cases; (iii) The Type I multivariate zero-adjusted Poisson (ZAP) distribution (Tian et al...
May 25, 2018: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/29775990/cox-model-with-interval-censored-covariate-in-cohort-studies
#13
Soohyun Ahn, Johan Lim, Myunghee Cho Paik, Ralph L Sacco, Mitchell S Elkind
In cohort studies the outcome is often time to a particular event, and subjects are followed at regular intervals. Periodic visits may also monitor a secondary irreversible event influencing the event of primary interest, and a significant proportion of subjects develop the secondary event over the period of follow-up. The status of the secondary event serves as a time-varying covariate, but is recorded only at the times of the scheduled visits, generating incomplete time-varying covariates. While information on a typical time-varying covariate is missing for entire follow-up period except the visiting times, the status of the secondary event are unavailable only between visits where the status has changed, thus interval-censored...
May 18, 2018: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/29768667/analyzing-self-controlled-case-series-data-when-case-confirmation-rates-are-estimated-from-an-internal-validation-sample
#14
Stanley Xu, Christina L Clarke, Sophia R Newcomer, Matthew F Daley, Jason M Glanz
Vaccine safety studies are often electronic health record (EHR)-based observational studies. These studies often face significant methodological challenges, including confounding and misclassification of adverse event. Vaccine safety researchers use self-controlled case series (SCCS) study design to handle confounding effect and employ medical chart review to ascertain cases that are identified using EHR data. However, for common adverse events, limited resources often make it impossible to adjudicate all adverse events observed in electronic data...
May 16, 2018: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/29766558/a-cure-rate-model-for-q-learning-estimating-an-adaptive-immunosuppressant-treatment-strategy-for-allogeneic-hematopoietic-cell-transplant-patients
#15
Erica E M Moodie, David A Stephens, Shomoita Alam, Mei-Jie Zhang, Brent Logan, Mukta Arora, Stephen Spellman, Elizabeth F Krakow
Cancers treated by transplantation are often curative, but immunosuppressive drugs are required to prevent and (if needed) to treat graft-versus-host disease. Estimation of an optimal adaptive treatment strategy when treatment at either one of two stages of treatment may lead to a cure has not yet been considered. Using a sample of 9563 patients treated for blood and bone cancers by allogeneic hematopoietic cell transplantation drawn from the Center for Blood and Marrow Transplant Research database, we provide a case study of a novel approach to Q-learning for survival data in the presence of a potentially curative treatment, and demonstrate the results differ substantially from an implementation of Q-learning that fails to account for the cure-rate...
May 16, 2018: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/29749022/one-inflation-and-unobserved-heterogeneity-in-population-size-estimation-by-ryan-t-godwin
#16
LETTER
Gul Inan
In this study, we would like to show that the one-inflated zero-truncated negative binomial (OIZTNB) regression model can be easily implemented in R via built-in functions when we use mean-parameterization feature of negative binomial distribution to build OIZTNB regression model. From the practitioners' point of view, we believe that this approach presents a computationally convenient way for implementation of the OIZTNB regression model.
May 11, 2018: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/29748991/marginalized-zero-inflated-poisson-models-with-missing-covariates
#17
Habtamu K Benecha, John S Preisser, Kimon Divaris, Amy H Herring, Kalyan Das
Unlike zero-inflated Poisson regression, marginalized zero-inflated Poisson (MZIP) models for counts with excess zeros provide estimates with direct interpretations for the overall effects of covariates on the marginal mean. In the presence of missing covariates, MZIP and many other count data models are ordinarily fitted using complete case analysis methods due to lack of appropriate statistical methods and software. This article presents an estimation method for MZIP models with missing covariates. The method, which is applicable to other missing data problems, is illustrated and compared with complete case analysis by using simulations and dental data on the caries preventive effects of a school-based fluoride mouthrinse program...
May 11, 2018: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/29748972/multiple-testing-with-discrete-data-proportion-of-true-null-hypotheses-and-two-adaptive-fdr-procedures
#18
Xiongzhi Chen, Rebecca W Doerge, Joseph F Heyse
We consider multiple testing with false discovery rate (FDR) control when p values have discrete and heterogeneous null distributions. We propose a new estimator of the proportion of true null hypotheses and demonstrate that it is less upwardly biased than Storey's estimator and two other estimators. The new estimator induces two adaptive procedures, that is, an adaptive Benjamini-Hochberg (BH) procedure and an adaptive Benjamini-Hochberg-Heyse (BHH) procedure. We prove that the adaptive BH (aBH) procedure is conservative nonasymptotically...
May 11, 2018: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/29748967/bivariate-random-effects-meta-analysis-models-for-diagnostic-test-accuracy-studies-using-arcsine-based-transformations
#19
Zelalem F Negeri, Mateen Shaikh, Joseph Beyene
Diagnostic or screening tests are widely used in medical fields to classify patients according to their disease status. Several statistical models for meta-analysis of diagnostic test accuracy studies have been developed to synthesize test sensitivity and specificity of a diagnostic test of interest. Because of the correlation between test sensitivity and specificity, modeling the two measures using a bivariate model is recommended. In this paper, we extend the current standard bivariate linear mixed model (LMM) by proposing two variance-stabilizing transformations: the arcsine square root and the Freeman-Tukey double arcsine transformation...
May 11, 2018: Biometrical Journal. Biometrische Zeitschrift
https://www.readbyqxmd.com/read/29733452/modeling-clustered-long-term-survivors-using-marginal-mixture-cure-model
#20
Yi Niu, Lixin Song, Yufeng Liu, Yingwei Peng
There is a great deal of recent interests in modeling right-censored clustered survival time data with a possible fraction of cured subjects who are nonsusceptible to the event of interest using marginal mixture cure models. In this paper, we consider a semiparametric marginal mixture cure model for such data and propose to extend an existing generalized estimating equation approach by a new unbiased estimating equation for the regression parameters in the latency part of the model. The large sample properties of the regression effect estimators in both incidence and the latency parts are established...
May 7, 2018: Biometrical Journal. Biometrische Zeitschrift
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