Mapping QTL controlling count traits with excess zeros and ones using a zero-and-one-inflated generalized Poisson regression model [0.03%]
采用零一 inflated 广义 Poisson 回归模型定位控制过多 0 和 1 的计数性状的 QTL
Jinling Chi,Jimin Ye,Ying Zhou
Jinling Chi
The research on the quantitative trait locus (QTL) mapping of count data has aroused the wide attention of researchers. There are frequent problems in applied research that limit the application of the conventional Poisson model in the anal...
Bootstrap tests for simultaneous monotone ordering of effects in a two-way ANOVA [0.03%]
两因素方差分析中效应的单调性顺序的自助检验方法
Raju Dey,Anjana Mondal,Somesh Kumar
Raju Dey
In a two-way additive analysis of variance (ANOVA) model, we consider the problem of testing for homogeneity of both row and column effects against their simultaneous ordering. The error variances are assumed to be heterogeneous with unbala...
Beta spending function based on conditional power in group sequential design [0.03%]
基于条件功效的序贯设计中的β花销函数
Senmiao Ni,Zihang Zhong,Zhiwei Jiang et al.
Senmiao Ni et al.
Conditional power (CP) serves as a widely utilized approach for futility monitoring in group sequential designs. However, adopting the CP methods may lead to inadequate control of the type II error rate at the desired level. In this study, ...
A framework to select tuning parameters for nonparametric derivative estimation [0.03%]
选择非参数导数估计调优参数的框架
Sisheng Liu,Xiaoli Kong
Sisheng Liu
In this paper, we propose a general framework to select tuning parameters for the nonparametric derivative estimation. The new framework broadens the scope of the previously proposed generalized C p $C_p$ criterion by replacing the empiri...
Zhihua Ma,Ming-Hui Chen
Zhihua Ma
Reduced major axis (RMA) regression, widely used in the fields of zoology, botany, ecology, biology, spectroscopy, and among others, outweighs the ordinary least square regression by relaxing the assumption that the covariates are without m...
Gregor Buch,Andreas Schulz,Irene Schmidtmann et al.
Gregor Buch et al.
Variable selection is usually performed to increase interpretability, as sparser models are easier to understand than full models. However, a focus on sparsity is not always suitable, for example, when features are related due to contextual...
Pairwise fitting of piecewise mixed models for the joint modeling of multivariate longitudinal outcomes, in a randomized crossover trial [0.03%]
分段混合模型的两两拟合在随机交叉试验中用于多变量纵向结果的联合建模
Moses Mwangi,Geert Molenberghs,Edmund Njeru Njagi et al.
Moses Mwangi et al.
Many statistical models have been proposed in the literature for the analysis of longitudinal data. One may propose to model two or more correlated longitudinal processes simultaneously, with a goal of understanding their association over t...
Explained variation and degrees of necessity and of sufficiency for competing risks survival data [0.03%]
解释变异性和必要性及充分性的程度在面对风险生存数据时
Andreas Gleiss,Michael Gnant,Michael Schemper
Andreas Gleiss
In this contribution, the Schemper-Henderson measure of explained variation for survival outcomes is extended to accommodate competing events (CEs) in addition to events of interest. The extension is achieved by moving from the unconditiona...
Nonparametric analysis of delayed treatment effects using single-crossing constraints [0.03%]
使用单交约束进行延迟治疗效果的非参数分析
Nicholas C Henderson,Kijoeng Nam,Dai Feng
Nicholas C Henderson
Clinical trials involving novel immuno-oncology therapies frequently exhibit survival profiles which violate the proportional hazards assumption due to a delay in treatment effect, and, in such settings, the survival curves in the two treat...
A generalized calibrated Bayesian hierarchical modeling approach to basket trials with multiple endpoints [0.03%]
广义校准贝叶斯分层模型在多终点篮式试验中的应用
Xiaohan Chi,Ying Yuan,Zhangsheng Yu et al.
Xiaohan Chi et al.
A basket trial simultaneously evaluates a treatment in multiple cancer subtypes, offering an effective way to accelerate drug development in multiple indications. Many basket trials are designed and monitored based on a single efficacy endp...