A5016992582- Statistical Methods and Inference
- Statistical Methods in Clinical Trials
- Genetic Associations and Epidemiology
- Advanced Causal Inference Techniques
- E-commerce and Technology Innovations
- Gene expression and cancer classification
- Numerical methods for differential equations
- Statistical Methods and Bayesian Inference
- Genetic Mapping and Diversity in Plants and Animals
- Advanced Statistical Methods and Models
- Computational Fluid Dynamics and Aerodynamics
- Traditional Chinese Medicine Studies
- Cancer Immunotherapy and Biomarkers
- Cognitive and developmental aspects of mathematical skills
- RNA Research and Splicing
- Cloud Computing and Resource Management
- Health Systems, Economic Evaluations, Quality of Life
- Helicobacter pylori-related gastroenterology studies
- Caching and Content Delivery
- Advanced Numerical Methods in Computational Mathematics
- Pharmacogenetics and Drug Metabolism
- Bayesian Methods and Mixture Models
- Computational Drug Discovery Methods
- Fecal contamination and water quality
- Safety and Risk Management
Pfizer (United States)
2023-2025
National University of Defense Technology
2024
University of Science and Technology of China
2008-2024
National Medical Products Administration
2023
Decision Sciences (United States)
2020-2023
Sichuan Normal University
2023
Merck & Co., Inc., Rahway, NJ, USA (United States)
2020-2022
Southeast University
2010-2018
Örebro University
2018
University of Central Florida
2016-2017
Abstract Polygenic risk scores (PRS) have been successfully developed for the prediction of human diseases and complex traits in past years. For drug response randomized clinical trials, a common practice is to apply PRS built from disease genome-wide association study (GWAS) directly corresponding pharmacogenomics (PGx) setting. Here, we show that such an approach relies on stringent assumptions about prognostic predictive effects selected genetic variants. We propose shift PGx approaches...
In the era of precision medicine, more and clinical trials are now driven or guided by biomarkers, which patient characteristics objectively measured evaluated as indicators normal biological processes, pathogenic pharmacologic responses to therapeutic interventions. With overarching objective optimize personalize disease management, biomarker-guided increase efficiency appropriately utilizing prognostic predictive biomarkers in design. However, gain is often not quantitatively compared...
Wolbachia is a bacterium that present in 60% of insects but it not generally found Aedes aegypti, the primary vector responsible for transmission dengue virus, Zika and other human diseases caused by RNA viruses. has been shown to stop growth variety viruses Drosophila mosquitoes. Wolbachia-infected Ae. aegypti have both reproductive advantages disadvantages over wild types. If females are fertilized either normal or infected males, offspring healthy Wolbachia-positive. On hand, if...
Abstract Integrating association evidence across multiple traits can improve the power of gene discovery and reveal pleiotropy. Most multi-trait analysis methods focus on individual common variants in genome-wide studies. Here, we introduce rare-variant associations (MTAR), a framework for joint summary statistics between rare different traits. MTAR achieves substantial gain by leveraging genetic correlation measure to inform degree gene-level effect heterogeneity We apply three lipid Global...
Abstract Combining dependent tests of significance has broad applications but the related p-value calculation is challenging. For Fisher's combination test, current methods (eg, Brown's approximation) tend to inflate type I error rate when desired level substantially less than 0.05. The problem could lead significant false discoveries in big data analyses. This paper provides two main contributions. First, it presents a general family Fisher statistics, referred as GFisher, which covers many...
Exact (EX) and approximate (AP) calculations rely on distinct neural circuits. However, the training effect correlates of EX AP is largely unknown, especially for calculation. Abacus-based mental calculation (AMC) a particular arithmetic skill that can be acquired by long-term abacus training. The present study investigated whether how modulates functional magnetic resonance imaging (fMRI). Neural activations were measured in 20 abacus-trained 19 nontrained Chinese children during tasks. Our...
Hadoop is a popular open-source implementation of the MapReduce programming model to handle large data sets, and HDFS one Hadoop's most commonly used distributed file systems. Surprisingly, we found that inefficient when handling upload files from client local system, especially storage cluster configured use replicas. The root cause HDFS's synchronous pipeline design. In this paper, introduce an improved design called SMARTH. It utilizes asynchronous multi-pipeline transfers instead single...
7545 Background: PD-1 inhibitors are a standard of care for R/R cHL but optimal therapy after anti–PD-1 failure is yet to be defined. LAG-3/PD-1 coblockade has demonstrated antitumor activity in preclinical models. This multicohort phase 1/2 study (NCT03598608) evaluated the safety and efficacy favezelimab (MK-4280), humanized IgG4 LAG-3 inhibitor, plus inhibitor pembrolizumab (pembro) pts with hematologic malignancies. Cohort 2 focused on refractory therapy. Methods: included lead-in (part...
The $p$-value combination approach is an important statistical strategy for testing global hypotheses with broad applications in signal detection, meta-analysis, data integration, etc. In this paper we extend the classic Fisher's method to a unified family of statistics, called TFisher, which allows general truncation-and-weighting scheme input $p$-values. TFisher can significantly improve power over Fisher and related truncation-only methods detecting both rare dense "signals." To address...
Nowadays, with the increasing burst of newly generated data everyday, as well vast expanding needs for corresponding analyses, grand challenges have been brought to big computing platforms. Computing resources in a single cluster are often not able fulfill capability needs. The requests distributed dramatically arising. In addition, popularity cloud platforms, many organizations security concerns more favor hybrid cloud, multi-cluster environment composed by both public and private purpose...
For detecting weak and sparse signals by a set of n input p-values, the Higher Criticism (HC) type statistics, BerkJones (B-J) phi-divergence statistics have equivalent asymptotic optimality as goes to infinity. However, they can significantly different performance in practical data analysis, where is always finite even very small. To address this problem broader context, paper introduces general family goodness-of-fit called gGOF, which unifies broad signal-detection including these optimal...
Recent research has demonstrated that social media could provide valuable spatio-temporal data about users activities. However, information extraction and computation from big amount of pose various challenges. To effectively process massive datasets, several platforms have been developed. Our previous study [20] explored Hadoop-based cloud computing for processing [9] to geographic distributions users. In this paper, we investigate an emerging system named Spark present a timely pilot...
Abstract In pharmacogenetic (PGx) studies, drug response phenotypes are often measured in the form of change a quantitative trait before and after treatment. There is some debate recent literature regarding baseline adjustment, or inclusion pre-treatment value as covariate, PGx genome-wide association studies (GWAS) analysis. Here, we provide clear statistical perspective on this adjustment issue by running extensive simulations based nine models to evaluate influence type I error power. We...
In this article, we consider a multivariate generalized linear model with adaptive design matrix and general link function. The asymptotic singularity of presents challenge when establishing the large sample properties maximum quasi-likelihood estimate (MQLE). Under some mild conditions, obtain strong convergence rate MQLE.
It is of substantial interest to discover novel genetic markers that influence drug response in order develop personalized treatment strategies maximize therapeutic efficacy and safety. To help enable such discoveries, we focus on testing the association between cumulative effect multiple single nucleotide polymorphisms (SNPs) a particular genomic region interest. However, currently existing methods are either computational inefficient or not able control type I error provide decent power...
Objective To develop the dietary exposure evaluation model software accredited of Chinese intellectual property rights and to verify rationality accuracy results from probabilistic in according international standards.Methods The SAS was used build various based on data survey chemical compound food surveillance design an operation interface.The probabilistie for children 2-7 years old were compared with that duplicate portion study Jinhu,Jiangsu province order analyze @ Risk eorreetion by...
There is a substantial literature in case-control logistic regression on whether or not non-confounding covariates should be adjusted for.However, only limited and ad hoc theoretical results are available this important topic.A constrained maximum likelihood method was recently proposed, which appears to generally more powerful than methods with without adjusting for covariates.This note provides clarification the covariate adjustment their relative performances terms of asymptotic...
This paper proposes a high-order maximum-principle-preserving (MPP) conservative scheme for convection-dominated diffusion equations.For spatial discretization, we first use the fifth-order weighted compact nonlinear (WCNS5) convection term and sixth-order central difference term.Owing to nonphysical oscillations caused by scheme, further adopt parameterized MPP flux limiter modifying highorder numerical toward lower-order monotone achieve maximum principle.Subsequently, resulting is...
It is important to study the interaction between two risk factors in molecular epidemiology studies. To improve power for detection of interaction, some statistical testing procedures have been proposed literature by incorporating certain assumptions on underlying joint distribution factors. For example, well known case-only test used genetic studies derived under assumption independency considered However, those could detrimental effects both false positive and negative rates when are not...