Testing calibration of phenotyping models using positive-only electronic health record data [0.03%]
仅使用阳性电子健康记录数据测试表型模型的校准性
Lingjiao Zhang,Yanyuan Ma,Daniel Herman et al.
Lingjiao Zhang et al.
Validation of phenotyping models using Electronic Health Records (EHRs) data conventionally requires gold-standard case and control labels. The labeling process requires clinical experts to retrospectively review patients' medical charts, t...
Efficiently transporting causal direct and indirect effects to new populations under intermediate confounding and with multiple mediators [0.03%]
在中介混杂和多个中介变量的情况下有效地将因果直接效应和间接效应传输到新人群中
Kara E Rudolph,Iván Díaz
Kara E Rudolph
The same intervention can produce different effects in different sites. Existing transport mediation estimators can estimate the extent to which such differences can be explained by differences in compositional factors and the mechanisms by...
Marginal modeling of cluster-period means and intraclass correlations in stepped wedge designs with binary outcomes [0.03%]
具有二元结果的逐步楔形设计中聚类周期均值和组内相关性的边缘建模
Fan Li,Hengshi Yu,Paul J Rathouz et al.
Fan Li et al.
Stepped wedge cluster randomized trials (SW-CRTs) with binary outcomes are increasingly used in prevention and implementation studies. Marginal models represent a flexible tool for analyzing SW-CRTs with population-averaged interpretations,...
Andrew Dilernia,Karina Quevedo,Jazmin Camchong et al.
Andrew Dilernia et al.
Functional magnetic resonance imaging (fMRI) data have become increasingly available and are useful for describing functional connectivity (FC), the relatedness of neuronal activity in regions of the brain. This FC of the brain provides ins...
Daniel Mork,Ander Wilson
Daniel Mork
In studies of maternal exposure to air pollution, a children's health outcome is regressed on exposures observed during pregnancy. The distributed lag nonlinear model (DLNM) is a statistical method commonly implemented to estimate an exposu...
Estimation of the generation interval using pairwise relative transmission probabilities [0.03%]
利用相对传播概率估计generation interval
Sarah V Leavitt,Helen E Jenkins,Paola Sebastiani et al.
Sarah V Leavitt et al.
The generation interval (the time between infection of primary and secondary cases) and its often used proxy, the serial interval (the time between symptom onset of primary and secondary cases) are critical parameters in understanding infec...
Semiparametric regression on cumulative incidence function with interval-censored competing risks data and missing event types [0.03%]
区间删失竞争风险数据下累积发病率函数的半参数回归分析及事件类型缺失下的回归分析
Jun Park,Giorgos Bakoyannis,Ying Zhang et al.
Jun Park et al.
Competing risk data are frequently interval-censored, that is, the exact event time is not observed but only known to lie between two examination time points such as clinic visits. In addition to interval censoring, another common complicat...
Dose-response modeling in high-throughput cancer drug screenings: an end-to-end approach [0.03%]
高通量癌症药物筛选中的剂量效应建模：一种端到端方法
Wesley Tansey,Kathy Li,Haoran Zhang et al.
Wesley Tansey et al.
Personalized cancer treatments based on the molecular profile of a patient's tumor are an emerging and exciting class of treatments in oncology. As genomic tumor profiling is becoming more common, targeted treatments for specific molecular ...
Pavel Mozgunov,Xavier Paoletti,Thomas Jaki
Pavel Mozgunov
An important tool to evaluate the performance of a dose-finding design is the nonparametric optimal benchmark that provides an upper bound on the performance of a design under a given scenario. A fundamental assumption of the benchmark is t...
Quantifying diagnostic accuracy improvement of new biomarkers for competing risk outcomes [0.03%]
竞争风险结果的新生物标志物诊断准确性改善的量化方法研究
Zheng Wang,Yu Cheng,Eric C Seaberg et al.
Zheng Wang et al.
The net reclassification improvement (NRI) and the integrated discrimination improvement (IDI) were originally proposed to characterize accuracy improvement in predicting a binary outcome, when new biomarkers are added to regression models....