PERSONALIZED RISK PREDICTION FOR CANCER SURVIVORS: A GENERALIZED BAYESIAN SEMI-PARAMETRIC MODEL OF RECURRENT EVENTS WITH COMPETING OUTCOMES [0.03%]
竞争结果的复发事件的广义贝叶斯半参数模型：幸存者的个性化风险预测
Nam Hoai Nguyen,Seung Jun Shin,Elissa Dodd-Eaton et al.
Nam Hoai Nguyen et al.
Multiple primary cancers are increasingly more frequent due to improved survival of cancer patients. Characteristics of the first primary cancer largely impact the risk of developing subsequent primary cancers. Hence, model-based risk chara...
INTEGRATIVE ECOLOGICAL REGRESSION ANALYSIS OF U.S. COUNTY AND STATE LEVEL COVID-19 DEATH DATA FOR STUDYING HEALTH DISPARITY ASSOCIATIONS [0.03%]
基于美国县和州级新冠死亡数据的整合生态回归分析以研究健康差异性问题
Daniel Li,Xihong Lin
Daniel Li
It is of substantial interest to study health disparity associations with COVID-19 death rates. Although high-quality individual-level COVID-19 epidemiological data have been difficult to collect on a national scale, all United States (U.S....
SUPERVISED LEARNING OF OUTCOME-RELEVANT ITEMS FROM A QUESTIONNAIRE VIA MIXED INTEGER OPTIMIZATION [0.03%]
基于混合整数优化的调查问卷结果相关问题的设计方法研究
Leyao Zhang,Wen Wang,Mengtong Hu et al.
Leyao Zhang et al.
Questionnaires are among the oldest and most widely used instruments in practice to measure variables relevant to traits of interest that cannot be easily measured by physical devices, for example, depression. In many clinical settings, the...
STRONGER INSTRUMENTS VIA INTEGER PROGRAMMING IN AN OBSERVATIONAL STUDY OF LATE PRETERM BIRTH OUTCOMES [0.03%]
利用整数规划提高工具变量效力并分析接近足月分娩的结局问题
José R Zubizarreta,Dylan S Small,Neera K Goyal et al.
José R Zubizarreta et al.
In an optimal nonbipartite match, a single population is divided into matched pairs to minimize a total distance within matched pairs. Nonbipartite matching has been used to strengthen instrumental variables in observational studies of trea...
TREE-REGULARIZED BAYESIAN LATENT CLASS ANALYSIS FOR IMPROVING WEAKLY SEPARATED DIETARY PATTERN SUBTYPING IN SMALL-SIZED SUBPOPULATIONS [0.03%]
用于改善小规模人群中弱分离饮食模式亚型划分的基于树正则化的贝叶斯潜在类别分析方法
By Mengbing Li,Briana Stephenson,Zhenke Wu
By Mengbing Li
Dietary patterns synthesize multiple related diet components, which can be used by nutrition researchers to examine diet-disease relationships. Latent class models (LCMs) have been used to derive dietary patterns from dietary intake assessm...
JOINT MODELING FOR LEARNING DECISION-MAKING DYNAMICS IN BEHAVIORAL EXPERIMENTS [0.03%]
行为实验中学习决策动态的联合模型方法研究
Yuan Bian,Xingche Guo,Yuanjia Wang
Yuan Bian
Major depressive disorder (MDD), a leading cause of disability and mortality, is associated with reward-processing abnormalities and concentration issues. Motivated by the probabilistic reward task from the Establishing Moderators and Biosi...
KULLBACK-LEIBLER-BASED DISCRETE FAILURE TIME MODELS FOR INTEGRATION OF PUBLISHED PREDICTION MODELS WITH NEW TIME-TO-EVENT DATASET [0.03%]
基于kulblach-leibler的离散故障时间模型，用于整合已发表的风险预测模型与新的生存数据集
Di Wang,Wen Ye,Randall Sung et al.
Di Wang et al.
Prediction of time-to-event data often suffers from rare event rates, small sample sizes, high dimensionality, and low signal-to-noise ratios. Incorporating published prediction models from external large-scale studies is expected to improv...
MODELING THE VISIBILITY DISTRIBUTION FOR RESPONDENT-DRIVEN SAMPLING WITH APPLICATION TO POPULATION SIZE ESTIMATION [0.03%]
建模调查驱动抽样中的可见性分布及其在估算人群规模中的应用
Katherine R McLaughlin,Lisa G Johnston,Xhevat Jakupi et al.
Katherine R McLaughlin et al.
Respondent-driven sampling (RDS) is used throughout the world to estimate prevalence and population size for hidden populations. Although RDS is an effective method for enrolling people from key populations in studies, it relies on a partia...
MULTI-OBJECT DATA INTEGRATION IN THE STUDY OF PRIMARY PROGRESSIVE APHASIA [0.03%]
原发进行性失语研究中的多模态数据整合
Rene Gutierrez,Aaron Scheffler,Rajarshi Guhaniyogi et al.
Rene Gutierrez et al.
This article focuses on a multi-modal imaging data application where structural/anatomical information from gray matter (GM) and brain connectivity information in the form of a brain connectome network from functional magnetic resonance ima...
PROBABILISTIC CONTRASTIVE DIMENSION REDUCTION FOR CASE-CONTROL STUDY DATA [0.03%]
病例对照研究数据的降维概率对比分析方法
Didong Li,Andrew Jones,Barbara Engelhardt
Didong Li
Case-control experiments are essential to the scientific method, as they allow researchers to test biological hypotheses by looking for differences in outcome between cases and controls. It is then of interest to characterize variation that...