Covariate hypothesis tests for the cure rate in mixture cure models based on martingale difference correlation [0.03%]
基于鞅差相关性的混合治愈模型中治愈率的协变量假设检验方法研究
Blanca E Monroy-Castillo,María Amalia Jácome,Ricardo Cao et al.
Blanca E Monroy-Castillo et al.
Cure models are a class of survival models used to analyze time-to-event data that allow the possibility that the event never occurs for a certain percentage 1-p, of the population. These methods allow for direct modelling of the cure rate ...
Randomization and allocation procedures for master protocol trials of single-arm studies [0.03%]
单臂试验的大主协议临床试验的随机化和分配程序
Peter Jacko,Günter Heimann,Tom Parke
Peter Jacko
In this paper we propose and examine randomization and allocation procedures in master protocol trials where each subtrial is performed as a single-arm study, which is motivated mainly by rare diseases. The subtrial analysis is done by comp...
A Bayesian transformation model for informative partly interval-censored data with covariates subject to measurement error [0.03%]
具有测量误差的协变量的部分区间 censoring 数据的 Bayesian 变换模型
Jingjing Jiang,Chunjie Wang
Jingjing Jiang
Linear transformation models are one of the commonly used models for regression analysis of failure time data due to their flexibility. Although the existing literature provides many methods for fitting transformation models with fixed cova...
Asymptotic validity of Schoenfeld's sample size formula for the Cox proportional hazards model via the Wald test approach [0.03%]
wald检验方法下cox比例风险模型中schoenfeld样本量公式的渐近有效性
Se Yoon Lee
Se Yoon Lee
We revisit the widely used sample size formula for the Cox proportional hazards model, originally proposed by Schoenfeld in 1983. The classical derivation, based on the score test, evaluates the Fisher information under the null hypothesis,...
Mediation analysis in longitudinal intervention studies with an ordinal treatment-dependent confounder [0.03%]
具有序类别共变量的纵向干预研究中的中介分析方法研究
Mikko Valtanen,Tommi Härkänen,Matti Uusitupa et al.
Mikko Valtanen et al.
In interventional health studies, causal mediation analysis can be employed to investigate mechanisms through which the intervention affects the targeted health outcome. Identifying direct and indirect effects from empirical data become com...
Flexible Bayesian modeling of non-equidispersed counts with penalized complexity priors in disease incidence studies [0.03%]
疾病发病研究中非等离散计数的灵活贝叶斯惩罚复杂度先验模型
Mahsa Nadifar,Hossein Baghishani,Thomas Kneib et al.
Mahsa Nadifar et al.
Counts in epidemiology often deviate from equidispersion and exhibit spatial, temporal, and nonlinear structure that the Poisson model cannot accommodate. We introduce a gamma-count structured additive regression model that strategically in...
Math Jjm Candel,Gerard Jp van Breukelen
Math Jjm Candel
For two-treatment randomized trials with clustering in one of the treatment arms and a continuous outcome, designs are presented that minimize the number of subjects or the amount of research budget, when aiming for a desired power level. T...
Regression analysis of interval-censored competing risks data with missing causes of failure: A direct likelihood approach [0.03%]
缺失失效原因的区间竞争风险数据的回归分析：一种直接似然方法
Yichen Lou,Yuqing Ma,Liming Xiang et al.
Yichen Lou et al.
Regression analysis of interval-censored competing risks data is often required and plays an important role in many areas. For the situation, in addition to competing risk and interval censoring, another feature that makes the analysis diff...
Likelihood ratio test for the disease progression model to measure saved time in Alzheimer's disease [0.03%]
阿尔茨海默病的疾病进展模型中的存留时间测量的似然比检验
Guogen Shan,Yahui Zhang,Zhixin Tang et al.
Guogen Shan et al.
Saved time provides an intuitive interpretation comparing a new treatment to the placebo in a randomized trial with repeated measures. The projection approach is frequently used to estimate saved time by using the placebo group disease prog...
Improved survival analysis with shrinkage Kibria-Lukman estimators in the Cox model: Application to lung cancer data [0.03%]
基于Cox模型的收缩KLM估计器在肺癌数据生存分析中的应用改善
Solmaz Seifollahi,Mohammad Arashi
Solmaz Seifollahi
The Cox proportional hazards regression model is a widely used and valuable tool for modeling survival time with predictors, however its performance can deteriorate in the presence of multicollinearity. It can lead to unreliable estimates f...