Dufera, Abdisa G Xiong, Cui Xu, Jin
Published in
Biometrical journal. Biometrische Zeitschrift
We propose a method to construct simultaneous confidence intervals for a parameter vector from inverting a series of randomization tests (RT). The randomization tests are facilitated by an efficient multivariate Robbins-Monro procedure that takes the correlation information of all components into account. The estimation method does not require any ...
Warasi, Md S Tebbs, Joshua M McMahan, Christopher S Bilder, Christopher R
Published in
Biometrical journal. Biometrische Zeitschrift
When screening a population for infectious diseases, pooling individual specimens (e.g., blood, swabs, urine, etc.) can provide enormous cost savings when compared to testing specimens individually. In the biostatistics literature, testing pools of specimens is commonly known as group testing or pooled testing. Although estimating a population-leve...
Trächsel, Bastien Rousson, Valentin Bulliard, Jean-Luc Locatelli, Isabella
Published in
Biometrical journal. Biometrische Zeitschrift
This study compares the performance of statistical methods for predicting age-standardized cancer incidence, including Poisson generalized linear models, age-period-cohort (APC) and Bayesian age-period-cohort (BAPC) models, autoregressive integrated moving average (ARIMA) time series, and simple linear models. The methods are evaluated via leave-fu...
Monacelli, Greta Zhang, Lili Schlee, Winfried Langguth, Berthold Ward, Tomás E Murphy, Thomas B
Published in
Biometrical journal. Biometrische Zeitschrift
Recently, the use of mobile technologies in ecological momentary assessments (EMAs) and interventions has made it easier to collect data suitable for intraindividual variability studies in the medical field. Nevertheless, especially when self-reports are used during the data collection process, there are difficulties in balancing data quality and t...
Piepho, Hans-Peter
Published in
Biometrical journal. Biometrische Zeitschrift
The coefficient of determination (R2 ) is a common measure of goodness of fit for linear models. Various proposals have been made for extension of this measure to generalized linear and mixed models. When the model has random effects or correlated residual effects, the observed responses are correlated. This paper proposes a new coefficient of dete...
Wang, Zhihao Bai, Yongxin Härdle, Wolfgang K Tian, Maozai
Published in
Biometrical journal. Biometrische Zeitschrift
Practitioners of current data analysis are regularly confronted with the situation where the heavy-tailed skewed response is related to both multiple functional predictors and high-dimensional scalar covariates. We propose a new class of partially functional penalized convolution-type smoothed quantile regression to characterize the conditional qua...
Li, Ruilin Lin, Ray Huang, Jiangeng Tian, Lu Zhu, Jiawen
Published in
Biometrical journal. Biometrische Zeitschrift
There has been growing interest in leveraging external control data to augment a randomized control group data in clinical trials and enable more informative decision making. In recent years, the quality and availability of real-world data have improved steadily as external controls. However, information borrowing by directly pooling such external ...
Gressani, Oswaldo Faes, Christel Hens, Niel
Published in
Biometrical journal. Biometrische Zeitschrift
In epidemic models, the effective reproduction number is of central importance to assess the transmission dynamics of an infectious disease and to orient health intervention strategies. Publicly shared data during an outbreak often suffers from two sources of misreporting (underreporting and delay in reporting) that should not be overlooked when es...
Baralou, Valia Kalpourtzi, Natasa Touloumi, Giota
Published in
Biometrical journal. Biometrische Zeitschrift
With big data becoming widely available in healthcare, machine learning algorithms such as random forest (RF) that ignores time-to-event information and random survival forest (RSF) that handles right-censored data are used for individual risk prediction alternatively to the Cox proportional hazards (Cox-PH) model. We aimed to systematically compar...
Chen, Xinyuan Harhay, Michael O Li, Fan
Published in
Biometrical journal. Biometrische Zeitschrift
For multicenter randomized trials or multilevel observational studies, the Cox regression model has long been the primary approach to study the effects of covariates on time-to-event outcomes. A critical assumption of the Cox model is the proportionality of the hazard functions for modeled covariates, violations of which can result in ambiguous int...
