A model checking method for the proportional hazards model with recurrent gap time data [0.03%]
具有复发性间隔时间数据的Cox比例风险模型的检验方法
Chiung-Yu Huang,Xianghua Luo,Dean A Follmann
Chiung-Yu Huang
Recurrent events are the natural outcome in many medical and epidemiology studies. To assess covariate effects on the gaps between consecutive recurrent events, the Cox proportional hazards model is frequently employed in data analysis. The...
Kyung In Kim,Richard Simon
Kyung In Kim
For medical classification problems, it is often desirable to have a probability associated with each class. Probabilistic classifiers have received relatively little attention for small n large p classification problems despite of their im...
Contact intervals, survival analysis of epidemic data, and estimation of R(0) [0.03%]
接触期，流行病数据的生存分析以及估计基本再生数(R0)
Eben Kenah
Eben Kenah
We argue that the time from the onset of infectiousness to infectious contact, which we call the "contact interval," is a better basis for inference in epidemic data than the generation or serial interval. Since contact intervals can be rig...
Mark R Segal,Yuanyuan Xiao,Fred W Huffer
Mark R Segal
Methods for formally evaluating the clustering of events in space or time, notably the scan statistic, have been richly developed and widely applied. In order to utilize the scan statistic and related approaches, it is necessary to know the...
Fang Yao,Yuejiao Fu,Thomas C M Lee
Fang Yao
In functional linear models (FLMs), the relationship between the scalar response and the functional predictor process is often assumed to be identical for all subjects. Motivated by both practical and methodological considerations, we relax...
Methods for clustered encouragement design studies with noncompliance and missing data [0.03%]
群组鼓励设计研究中的非依从性和缺失数据处理方法
Leslie Taylor,Xiao-Hua Zhou
Leslie Taylor
Encouragement design studies are particularly useful for estimating the effect of an intervention that cannot itself be randomly administered to some and not to others. They require a randomly selected group receive extra encouragement to u...
Yu Zhang
Yu Zhang
Genetic mutations may interact to increase the risk of human complex diseases. Mapping of multiple interacting disease loci in the human genome has recently shown promise in detecting genes with little main effects. The power of interaction...
Shing M Lee,Bin Cheng,Ying Kuen Cheung
Shing M Lee
This paper addresses the dose-finding problem in cancer trials in which we are concerned with the gradation of severe toxicities that are considered dose limiting. In order to differentiate the tolerance for different toxicity types and gra...
Analysis of randomized comparative clinical trial data for personalized treatment selections [0.03%]
分析随机对照试验数据进行个性化治疗选择
Tianxi Cai,Lu Tian,Peggy H Wong et al.
Tianxi Cai et al.
Suppose that under the conventional randomized clinical trial setting, a new therapy is compared with a standard treatment. In this article, we propose a systematic, 2-stage estimation procedure for the subject-level treatment differences f...
Estimation of the 2-sample hazard ratio function using a semiparametric model [0.03%]
基于半参数模型的2样本风险比函数估计
Song Yang,Ross L Prentice
Song Yang
The hazard ratio provides a natural target for assessing a treatment effect with survival data, with the Cox proportional hazards model providing a widely used special case. In general, the hazard ratio is a function of time and provides a ...