Exponential family measurement error models for single-cell CRISPR screens [0.03%]
单细胞CRISPR筛选的指数家族测量误差模型
Timothy Barry,Kathryn Roeder,Eugene Katsevich
Timothy Barry
CRISPR genome engineering and single-cell RNA sequencing have accelerated biological discovery. Single-cell CRISPR screens unite these two technologies, linking genetic perturbations in individual cells to changes in gene expression and ill...
A semiparametric Gaussian mixture model for chest CT-based 3D blood vessel reconstruction [0.03%]
基于胸部CT的三维血管重建的半参数高斯混合模型
Qianhan Zeng,Jing Zhou,Ying Ji et al.
Qianhan Zeng et al.
Computed tomography (CT) has been a powerful diagnostic tool since its emergence in the 1970s. Using CT data, 3D structures of human internal organs and tissues, such as blood vessels, can be reconstructed using professional software. This ...
Identification of complier and noncomplier average causal effects in the presence of latent missing-at-random (LMAR) outcomes: a unifying view and choices of assumptions [0.03%]
潜在缺失但与处理方式无关的隐性结果存在情况下的顺从者和非顺从者因果效应识别：统一视角及假设选择
Trang Quynh Nguyen,Michelle C Carlson,Elizabeth A Stuart
Trang Quynh Nguyen
The study of treatment effects is often complicated by noncompliance and missing data. In the one-sided noncompliance setting where of interest are the complier and noncomplier average causal effects, we address outcome missingness of the l...
Practical causal mediation analysis: extending nonparametric estimators to accommodate multiple mediators and multiple intermediate confounders [0.03%]
实用的因果中介分析：扩展非参数估计器以适应多个媒介和多个中间混淆因素
Kara E Rudolph,Nicholas T Williams,Ivan Diaz
Kara E Rudolph
Mediation analysis is appealing for its ability to improve understanding of the mechanistic drivers of causal effects, but real-world data complexities challenge its successful implementation, including (i) the existence of post-exposure va...
Bayesian mixed model inference for genetic association under related samples with brain network phenotype [0.03%]
基于脑网络表型的关联遗传分析的贝叶斯混合模型推断及样本相关性处理
Xinyuan Tian,Yiting Wang,Selena Wang et al.
Xinyuan Tian et al.
Genetic association studies for brain connectivity phenotypes have gained prominence due to advances in noninvasive imaging techniques and quantitative genetics. Brain connectivity traits, characterized by network configurations and unique ...
Shanghong Xie,R Todd Ogden
Shanghong Xie
Linear and generalized linear scalar-on-function modeling have been commonly used to understand the relationship between a scalar response variable (e.g. continuous, binary outcomes) and functional predictors. Such techniques are sensitive ...
Mendelian randomization analysis using multiple biomarkers of an underlying common exposure [0.03%]
使用多个生物标志物进行潜在共同暴露的孟德尔随机化分析
Jin Jin,Guanghao Qi,Zhi Yu et al.
Jin Jin et al.
Mendelian randomization (MR) analysis is increasingly popular for testing the causal effect of exposures on disease outcomes using data from genome-wide association studies. In some settings, the underlying exposure, such as systematic infl...
Dynamic models augmented by hierarchical data: an application of estimating HIV epidemics at sub-national level [0.03%]
通过分层数据扩充的动态模型：应用于估计亚国家层面的艾滋病疫情
Bao Le,Xiaoyue Niu,Tim Brown et al.
Bao Le et al.
Dynamic models have been successfully used in producing estimates of HIV epidemics at the national level due to their epidemiological nature and their ability to estimate prevalence, incidence, and mortality rates simultaneously. Recently, ...
Projection-based two-sample inference for sparsely observed multivariate functional data [0.03%]
基于投影的稀疏观测多元功能性数据的两样本推断方法
Salil Koner,Sheng Luo
Salil Koner
Modern longitudinal studies collect multiple outcomes as the primary endpoints to understand the complex dynamics of the diseases. Oftentimes, especially in clinical trials, the joint variation among the multidimensional responses plays a s...
Tree-informed Bayesian multi-source domain adaptation: cross-population probabilistic cause-of-death assignment using verbal autopsy [0.03%]
树形结构告知的贝叶斯多源领域适应：使用口头尸检进行跨人群死因概率分配
Zhenke Wu,Zehang R Li,Irena Chen et al.
Zhenke Wu et al.
Determining causes of deaths (CODs) occurred outside of civil registration and vital statistics systems is challenging. A technique called verbal autopsy (VA) is widely adopted to gather information on deaths in practice. A VA consists of i...