Evaluation of a two-part regression calibration to adjust for dietary exposure measurement error in the Cox proportional hazards model: A simulation study [0.03%]
评价两部分回归校准法在Cox比例风险模型中调整膳食暴露测量误差的模拟研究
George O Agogo,Hilko van der Voet,Pieter Van&#x;t Veer et al.
George O Agogo et al.
Dietary questionnaires are prone to measurement error, which bias the perceived association between dietary intake and risk of disease. Short-term measurements are required to adjust for the bias in the association. For foods that are not c...
Generalized Student's t-distribution mixtures for autoradiographic image spread modelling [0.03%]
用于自动放射性图像扩散建模的广义学生t分布混合模型
Robert G Aykroyd
Robert G Aykroyd
In this paper, a new class of models for autoradiographic hot-line data is proposed. The models, for which there is theoretical justification, are a linear combination of generalized Student's t-distributions and have as special cases all c...
Assessing interrater agreement on binary measurements via intraclass odds ratio [0.03%]
基于同一率的二项测量评级者一致性评价方法研究
Isabella Locatelli,Valentin Rousson
Isabella Locatelli
Interrater agreement on binary measurements is usually assessed via Scott's π or Cohen's κ, which are known to be difficult to interpret. One reason for this difficulty is that these coefficients can be defined as a correlation between tw...
Estimating covariate-adjusted measures of diagnostic accuracy based on pooled biomarker assessments [0.03%]
基于池化生物标志物评估估计调整协变量的诊断准确性措施
Christopher S McMahan,Alexander C McLain,Colin M Gallagher et al.
Christopher S McMahan et al.
There is a need for epidemiological and medical researchers to identify new biomarkers (biological markers) that are useful in determining exposure levels and/or for the purposes of disease detection. Often this process is stunted by high t...
Editorial: Special issue on models for continuous data with a spike at zero [0.03%]
编者按：连续数据与零点突变模型专刊
Dankmar Böhning,Marco Alfò
Dankmar Böhning
Mehreteab Aregay,Andrew B Lawson,Christel Faes et al.
Mehreteab Aregay et al.
One of the main goals in spatial epidemiology is to study the geographical pattern of disease risks. For such purpose, the convolution model composed of correlated and uncorrelated components is often used. However, one of the two component...
Izabela R C Oliveira,Geert Molenberghs,Clarice G B Demétrio et al.
Izabela R C Oliveira et al.
The intraclass correlation is commonly used with clustered data. It is often estimated based on fitting a model to hierarchical data and it leads, in turn, to several concepts such as reliability, heritability, inter-rater agreement, etc. F...
Assessing agreement with multiple raters on correlated kappa statistics [0.03%]
相关Kappa统计量的多重评价者一致性评估方法研究
Hongyuan Cao,Pranab K Sen,Anne F Peery et al.
Hongyuan Cao et al.
In clinical studies, it is often of interest to see the diagnostic agreement among clinicians on certain symptoms. Previous work has focused on the agreement between two clinicians under two different conditions or the agreement among multi...
Least squares regression methods for clustered ROC data with discrete covariates [0.03%]
具有离散协变量的聚类ROC数据的最小二乘回归方法
Liansheng Larry Tang,Wei Zhang,Qizhai Li et al.
Liansheng Larry Tang et al.
The receiver operating characteristic (ROC) curve is a popular tool to evaluate and compare the accuracy of diagnostic tests to distinguish the diseased group from the nondiseased group when test results from tests are continuous or ordinal...