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Adjusting for Ascertainment Bias in Meta-Analysis of Penetrance for Cancer Risk.
Stat Med
February 2025
Department of Mathematical Sciences, University of Texas at Dallas, Richardson, Texas, USA.
Multi-gene panel testing allows efficient detection of pathogenic variants in cancer susceptibility genes including moderate-risk genes such as ATM and PALB2. A growing number of studies examine the risk of breast cancer (BC) conferred by pathogenic variants of these genes. A meta-analysis combining the reported risk estimates can provide an overall estimate of age-specific risk of developing BC, that is, penetrance for a gene.
View Article and Find Full Text PDFReliable crash analysis: Comparing biases and error rates of empirical Bayes before-after analyses to mixed-models.
Accid Anal Prev
January 2025
Western Australian Centre for Road Safety Research, School of Psychological Science, The University of Western Australia Perth Western Australia Australia.
Estimating reliable causal estimates of road safety interventions is challenging, with a number of these challenges addressable through analysis choices. At a minimum, developing reliable crash modification factors (CMFs) needs to address three critical confounding factors, i.e.
View Article and Find Full Text PDFMatching-Assisted Power Prior for Incorporating Real-World Data in Randomized Clinical Trial Analysis.
Stat Med
February 2025
Division of Biostatistics, College of Public Health, The Ohio State University, Ohio, USA.
Leveraging external data information to supplement randomized clinical trials has been a popular topic in recent years, especially for medical device and drug discovery. In rare diseases, it is very challenging to recruit patients and run a large-scale randomized trial. To take advantage of real-world data from historical trials on the same disease, we can run a small hybrid trial and borrow historical controls to increase the power.
View Article and Find Full Text PDFAre Bayesian regularization methods a must for multilevel dynamic latent variables models?
Behav Res Methods
January 2025
Methods Center, Eberhard Karls University of Tübingen, Haußerstr. 11, 72076, Tübingen, Germany.
Due to the increased availability of intensive longitudinal data, researchers have been able to specify increasingly complex dynamic latent variable models. However, these models present challenges related to overfitting, hierarchical features, non-linearity, and sample size requirements. There are further limitations to be addressed regarding the finite sample performance of priors, including bias, accuracy, and type I error inflation.
View Article and Find Full Text PDFOptimal exercise dose on Body Mass Index (BMI) in children and adolescents with overweight and obesity: a systematic review and bayesian model-based network meta-analysis.
BMC Public Health
January 2025
College of Physical Education and Health Sciences, Zhejiang Normal University, Jinhua, China.
Background: Exercise is widely used for obesity management, but the optimal doses of exercise for improving body mass index (BMI) in children and adolescents with overweight and obesity remain unclear. This study aimed to evaluate the dose‒response effects of various exercises on BMI in children and adolescents with overweight and obesity.
Methods: A systematic search was conducted in Web of Science (Core Collection), PubMed/MEDLINE, Embase, Scopus, and the Cochrane Library for randomized controlled trials on relevant studies, covering literature up to July 2024.
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