Support provided by elderly in Italy: a hierarchical analysis of ego networks controlling for alter-overlapping [0.03%]
基于控制重叠个体的自闭合网络分析意大利老年人提供的支持
Elvira Pelle,Susanna Zaccarin,Emanuela Furfaro et al.
Elvira Pelle et al.
Providing support outside the household can be considered an actual sign of an active social life for the elderly. Adopting an ego-network perspective, we study support Italian elders provide to kin or non-kin. More specifically, using Ital...
An alternative to unrelated randomized response techniques with logistic regression analysis [0.03%]
一种逻辑回归分析的无关联随机回应技术替代方法
Shu-Hui Hsieh,Shen-Ming Lee,Chin-Shang Li et al.
Shu-Hui Hsieh et al.
The randomized response technique (RRT) is an important tool that is commonly used to protect a respondent's privacy and avoid biased answers in surveys on sensitive issues. In this work, we consider the joint use of the unrelated-question ...
Elisa Perrone,Andreas Rappold,Werner G Müller
Elisa Perrone
Optimum experimental design theory has recently been extended for parameter estimation in copula models. The use of these models allows one to gain in flexibility by considering the model parameter set split into marginal and dependence par...
A Statistical Method for Synthesizing Mediation Analyses Using the Product of Coefficient Approach Across Multiple Trials [0.03%]
基于系数相乘的多中心中介效应meta分析方法研究
Shi Huang,David P MacKinnon,Tatiana Perrino et al.
Shi Huang et al.
Mediation analysis often requires larger sample sizes than main effect analysis to achieve the same statistical power. Combining results across similar trials may be the only practical option for increasing statistical power for mediation a...
Joint Modeling of Covariates and Censoring Process Assuming Non-Constant Dropout Hazard [0.03%]
假设失访风险不恒定的协变量和截尾过程联合建模
Miran A Jaffa,Ayad A Jaffa
Miran A Jaffa
In this manuscript we propose a novel approach for the analysis of longitudinal data that have informative dropout. We jointly model the slopes of covariates of interest and the censoring process for which we assume a survival model with lo...
Jointly modeling time-to-event and longitudinal data: A Bayesian approach [0.03%]
时间到事件和纵向数据的联合建模：一种贝叶斯方法
Yangxin Huang,X Joan Hu,Getachew A Dagne
Yangxin Huang
This article explores Bayesian joint models of event times and longitudinal measures with an attempt to overcome departures from normality of the longitudinal response, measurement errors, and shortages of confidence in specifying a paramet...
A joint-modeling approach to assess the impact of biomarker variability on the risk of developing clinical outcome [0.03%]
基于联合模型的方法评估生物标志物变异对临床结局发病风险的影响
Feng Gao,J Philip Miller,Chengjie Xiong et al.
Feng Gao et al.
In some clinical trials and epidemiologic studies, investigators are interested in knowing whether the variability of a biomarker is independently predictive of clinical outcomes. This question is often addressed via a naïve approach where...
Population constraints on pooled surveys in demographic hazard modeling [0.03%]
人口约束在人口学危害模型中的合并调查方法
Michael S Rendall,Ryan Admiraal,Alessandra Derose et al.
Michael S Rendall et al.
In non-experimental research, data on the same population process may be collected simultaneously by more than one instrument. For example, in the present application, two sample surveys and a population birth registration system all collec...