Performance of the Peto odds ratio compared to the usual odds ratio estimator in the case of rare events [0.03%]
Peto比值比与罕见事件情况下通常的比值比估计相比的表现
A Catharina Brockhaus,Ulrich Grouven,Ralf Bender
A Catharina Brockhaus
For the calculation of relative measures such as risk ratio (RR) and odds ratio (OR) in a single study, additional approaches are required for the case of zero events. In the case of zero events in one treatment arm, the Peto odds ratio (PO...
Mariano Amo-Salas,Raúl Martín-Martín,Licesio J Rodríguez-Aragón
Mariano Amo-Salas
This work presents optimum designs for reaction rates experiments. In these experiments, time at which observations are to be made and temperatures at which reactions are to be run need to be designed. Observations are performed along time ...
New approaches to relevant clinical and biological data - XIV(th) Spanish Conference of the International Biometric Society [0.03%]
临床和生物相关数据的新方法-国际生物计量学会第十四届西班牙会议
Vladimir Dragalin,Jesús López-Fidalgo
Vladimir Dragalin
Antonio Punzo,Paul D McNicholas
Antonio Punzo
A mixture of multivariate contaminated normal distributions is developed for model-based clustering. In addition to the parameters of the classical normal mixture, our contaminated mixture has, for each cluster, a parameter controlling the ...
Permutation-based inference for the AUC: A unified approach for continuous and discontinuous data [0.03%]
基于置换的AUC推断：连续和不连续数据的统一方法
Markus Pauly,Thomas Asendorf,Frank Konietschke
Markus Pauly
We investigate rank-based studentized permutation methods for the nonparametric Behrens-Fisher problem, that is, inference methods for the area under the ROC curve. We hereby prove that the studentized permutation distribution of the Brunne...
Spatial clustering of average risks and risk trends in Bayesian disease mapping [0.03%]
贝叶斯疾病制图中平均风险和风险变化的空間聚类
Craig Anderson,Duncan Lee,Nema Dean
Craig Anderson
Spatiotemporal disease mapping focuses on estimating the spatial pattern in disease risk across a set of nonoverlapping areal units over a fixed period of time. The key aim of such research is to identify areas that have a high average leve...
Estimating negative binomial parameters from occurrence data with detection times [0.03%]
利用检测时间从发生数据估算负二项参数
Wen-Han Hwang,Richard Huggins,Jakub Stoklosa
Wen-Han Hwang
The negative binomial distribution is a common model for the analysis of count data in biology and ecology. In many applications, we may not observe the complete frequency count in a quadrat but only that a species occurred in the quadrat. ...
Hierarchical multivariate mixture generalized linear models for the analysis of spatial data: An application to disease mapping [0.03%]
空间数据分析的层次多元混合广义线性模型及在疾病制图中的应用
Mahmoud Torabi
Mahmoud Torabi
Disease mapping of a single disease has been widely studied in the public health setup. Simultaneous modeling of related diseases can also be a valuable tool both from the epidemiological and from the statistical point of view. In particula...