Statistical learning methods for neuroimaging data analysis with applications
The aim of this review is to provide a comprehensive survey of statistical challenges in
neuroimaging data analysis, from neuroimaging techniques to large-scale neuroimaging …
neuroimaging data analysis, from neuroimaging techniques to large-scale neuroimaging …
Illusory generalizability of clinical prediction models
It is widely hoped that statistical models can improve decision-making related to medical
treatments. Because of the cost and scarcity of medical outcomes data, this hope is typically …
treatments. Because of the cost and scarcity of medical outcomes data, this hope is typically …
[图书][B] Reproducibility and replicability in science
National Academies of Sciences, Policy, Global Affairs… - 2019 - books.google.com
One of the pathways by which the scientific community confirms the validity of a new
scientific discovery is by repeating the research that produced it. When a scientific effort fails …
scientific discovery is by repeating the research that produced it. When a scientific effort fails …
Universal adaptability: Target-independent inference that competes with propensity scoring
The gold-standard approaches for gleaning statistically valid conclusions from data involve
random sampling from the population. Collecting properly randomized data, however, can …
random sampling from the population. Collecting properly randomized data, however, can …
SomaticCombiner: improving the performance of somatic variant calling based on evaluation tests and a consensus approach
M Wang, W Luo, K Jones, X Bian, R Williams… - Scientific reports, 2020 - nature.com
It is challenging to identify somatic variants from high-throughput sequence reads due to
tumor heterogeneity, sub-clonality, and sequencing artifacts. In this study, we evaluated the …
tumor heterogeneity, sub-clonality, and sequencing artifacts. In this study, we evaluated the …
A harmonized resource of integrated prostate cancer clinical,-omic, and signature features
Genomic and transcriptomic data have been generated across a wide range of prostate
cancer (PCa) study cohorts. These data can be used to better characterize the molecular …
cancer (PCa) study cohorts. These data can be used to better characterize the molecular …
Machine learning selected smoking-associated DNA methylation signatures that predict HIV prognosis and mortality
Background The effects of tobacco smoking on epigenome-wide methylation signatures in
white blood cells (WBCs) collected from persons living with HIV may have important …
white blood cells (WBCs) collected from persons living with HIV may have important …
Reproducibility of research: Issues and proposed remedies
DB Allison, RM Shiffrin… - Proceedings of the …, 2018 - National Acad Sciences
Reproducibility has been one of the major tools science has used to help establish the
validity and importance of scientific findings since Philosophical Transactions of the Royal …
validity and importance of scientific findings since Philosophical Transactions of the Royal …
Evaluation of normalization methods for predicting quantitative phenotypes in metagenomic data analysis
B Wang, Y Luan - Frontiers in Genetics, 2024 - frontiersin.org
Genotype-to-phenotype mapping is an essential problem in the current genomic era. While
qualitative case-control predictions have received significant attention, less emphasis has …
qualitative case-control predictions have received significant attention, less emphasis has …
Epigenomic assessment of cardiovascular disease risk and interactions with traditional risk metrics
Background Epigenome‐wide association studies for cardiometabolic risk factors have
discovered multiple loci associated with incident cardiovascular disease (CVD). However …
discovered multiple loci associated with incident cardiovascular disease (CVD). However …