Long-term frailty modeling using a non-proportional hazards model: Application with a melanoma dataset [0.03%]
利用非比例风险模型进行长期脆弱性建模及其在黑色素瘤数据集中的应用
Vinicius F Calsavara,Eder A Milani,Eduardo Bertolli et al.
Vinicius F Calsavara et al.
The semiparametric Cox regression model is often fitted in the modeling of survival data. One of its main advantages is the ease of interpretation, as long as the hazards rates for two individuals do not vary over time. In practice the prop...
Modification of the generalized quasi-likelihood model in the analysis of the Add Health study [0.03%]
修正广义似然模型以分析Add Health数据中的青少年性行为风险因素变化
Katherine E Irimata,Jeffrey R Wilson
Katherine E Irimata
The relationship between the mean and variance is an implicit assumption of parametric modeling. While many distributions in the exponential family have a theoretical mean-variance relationship, it is often the case that the data under inve...
Imputing missing time-dependent covariate values for the discrete time Cox model [0.03%]
离散时间Cox模型中推算随时间变化的自变量缺失值
Havi Murad,Rachel Dankner,Alla Berlin et al.
Havi Murad et al.
We describe a procedure for imputing missing values of time-dependent covariates in a discrete time Cox model using the chained equations method. The procedure multiply imputes the missing values for each time-period in a time-sequential ma...
Comparison of structural equation modelling, item response theory and Rasch measurement theory-based methods for response shift detection at item level: A simulation study [0.03%]
结构方程模型、项目反应理论和拉什测量理论在响应偏移检测中的比较：一项模拟研究
Myriam Blanchin,Alice Guilleux,Jean-Benoit Hardouin et al.
Myriam Blanchin et al.
Elisabeth Dahlqwist,Zoltán Kutalik,Arvid Sjölander
Elisabeth Dahlqwist
In order to design efficient interventions aimed to improve public health, policy makers need to be provided with reliable information of the health burden of different risk factors. For this purpose, we are interested in the proportion of ...
Estimating the quantile medical cost under time-dependent covariates and right censored time-to-event variable based on a state process [0.03%]
基于状态过程的含时依赖协变量和右侧截尾的时间至事件变量的分位数医药费用估计方法研究
Xiufang Liu,Dianliang Deng,Dehui Wang
Xiufang Liu
Estimating the medical costs from disease diagnosis to a terminal event is of immense interest to researchers. However, most of existing literature on such research focused on the estimation of cumulative mean function (CMF) for history pro...
Non-monotone transformation of biomarkers to improve diagnostic and screening accuracy in a DNA methylation study with trichotomous phenotypes [0.03%]
一种非单调转换方法及其在家兔DNA甲基化研究中的应用
Jianping Yang,Pei-Fen Kuan,Jialiang Li
Jianping Yang
We propose a non-monotone transformation to biomarkers in order to improve the diagnostic and screening accuracy. The proposed quadratic transformation only involves modeling the distribution means and variances of the biomarkers and is the...
A new class of regression model for a bounded response with application in the study of the incidence rate of colorectal cancer [0.03%]
一类新的回归模型及其在结直肠癌发病率研究中的应用
Vicente G Cancho,Jorge L Bazán,Dipak K Dey
Vicente G Cancho
Response variables in medical sciences are often bounded, e.g. proportions, rates or fractions of incidence of some disease. In this work, we are interested to study if some characteristics of the population, e.g. sex and race which can exp...
Interval estimation of proportion ratios for stratified bilateral correlated binary data [0.03%]
分层双边相关二值数据下的比例比的区间估计
Yuqing Xue,Chang-Xing Ma
Yuqing Xue
Confidence interval (CI) methods for the ratio of two proportions in the presence of correlated bilateral binary data are constructed for comparative clinical trials with stratified design. Simulations are conducted to evaluate the performa...
Causal variance decompositions for institutional comparisons in healthcare [0.03%]
因果变异数分解在卫生保健机构比较中的应用
Bo Chen,Keith A Lawson,Antonio Finelli et al.
Bo Chen et al.
There is increasing interest in comparing institutions delivering healthcare in terms of disease-specific quality indicators (QIs) that capture processes or outcomes showing variations in the care provided. Such comparisons can be framed in...