Sabine Hoffmann,Simon Lemster,Gary Collins et al.
Sabine Hoffmann et al.
Most original articles published in the medical literature report the results of multiple statistical tests. In a few simple cases, there is agreement on whether to adjust for the number of performed tests. For many cases encountered in pra...
Tina Lang,Frank Konietschke,Jörg Rahnenführer et al.
Tina Lang et al.
Addressing Cluster-Level Treatment Effect Heterogeneity in Sample Size Determination for Hierarchical 2 × 2 Factorial Designs [0.03%]
处理分层2x2析因设计中集群水平治疗异质性对样本量的确定问题
Jiaqi Tong,Fan Li,Guangyu Tong
Jiaqi Tong
A hierarchical 2 × 2 $2/times 2$ factorial design is a type of two-level trial design where the first intervention is randomized at the cluster level and the second intervention is randomized at the individual level. With a continuou...
A Multiple Imputation Approach to Distinguish Curative From Life-Prolonging Effects in the Presence of Missing Covariates [0.03%]
一种在协变量缺失时区分治愈效果与延寿效果的多重插补方法
Marta Cipriani,Marta Fiocco,Marco Alfò et al.
Marta Cipriani et al.
Medical advances have increased cancer survival rates and the possibility of finding a cure. Hence, it is crucial to evaluate the impact of treatments both in terms of cure and prolongation of survival. To achieve this, we may use a Cox pro...
Tests for Categorical Data Beyond Pearson: A Distance Covariance and Energy Distance Approach [0.03%]
超越皮尔逊检验的定性数据分析：距离协方差和能量度量方法
Fernando Castro-Prado,Wenceslao González-Manteiga,Javier Costas et al.
Fernando Castro-Prado et al.
Categorical variables are of uttermost importance in biomedical research. When two of them are considered, it is often the case that one wants to test whether or not they are statistically dependent. We show weaknesses of classical methods-...
Alessandra Ragni,Torben Martinussen,Thomas Scheike
Alessandra Ragni
In clinical trials with recurrent events, such as repeated hospitalizations terminating with death, it is important to consider the patient events overall history for a thorough assessment of treatment effects. The occurrence of fewer event...
Two-Stage Multiple Test Procedures Controlling False Discovery Rate With Auxiliary Variable and Their Application to Set4 [Formula: see text] Mutant Data [0.03%]
带有辅助变量控制错误发现率的两阶段多重检验及其在SETDB1突变数据中的应用
Seohwa Hwang,Mark Louie Ramos,DoHwan Park et al.
Seohwa Hwang et al.
In this paper, we present novel methodologies that incorporate auxiliary variables for multiple hypotheses testing related to the main point of interest while effectively controlling the false discovery rate. When dealing with multiple test...
The Univariate Distribution of Hierarchical Composite Endpoints and the Condorcet Non-transitivity Paradox [0.03%]
层次复合终点的一元分布和康德罗杰非传递性悖论
Samvel B Gasparyan,Gary G Koch,Edgar Brunner
Samvel B Gasparyan
Hierarchical Composite Endpoints (HCEs), as analyzed with Generalized Pairwise Comparisons (GPC) statistics, are general methods of constructing endpoints in clinical trials across various therapeutic areas to establish the efficacy of nove...
HPV-Adjusted Feature Screening With FDR Control in Head and Neck Cancer [0.03%]
用于头颈癌的FDR调整的人乳头瘤病毒特征筛选算法
Atika Farzana Urmi,Chenlu Ke,Dipankar Bandyopadhyay
Atika Farzana Urmi
Human papillomavirus (HPV) is a well-established prognostic factor in head and neck (HN) cancer, with HPV-positive patients exhibiting markedly better survival outcomes compared to their HPV-negative counterparts. While advances in (cancer)...
Yanfei He,Jianhong Shi,Weixing Song
Yanfei He
In this paper, we present a Monte Carlo method for estimating a nonlinear function of the mean of a multivariate normal distribution. Building on this method, we propose a parametric estimation procedure for unimodal regression models, assu...