Bayesian informative dropout model for longitudinal binary data with random effects using conditional and joint modeling approaches [0.03%]
基于条件和联合模型方法的纵向二元数据随机效应贝叶斯定性缺失模型
Jennifer S K Chan
Jennifer S K Chan
Dropouts are common in longitudinal study. If the dropout probability depends on the missing observations at or after dropout, this type of dropout is called informative (or nonignorable) dropout (ID). Failure to accommodate such dropout me...
Optimal designs for a multiresponse Emax model and efficient parameter estimation [0.03%]
多响应EMAX模型的最优设计和高效参数估计
Bergrun T Magnusdottir
Bergrun T Magnusdottir
The aim of dose finding studies is sometimes to estimate parameters in a fitted model. The precision of the parameter estimates should be as high as possible. This can be obtained by increasing the number of subjects in the study, N, choosi...
Zero-inflated regression models for radiation-induced chromosome aberration data: A comparative study [0.03%]
辐照诱导染色体畸变数据的零膨胀回归模型及比较研究
María Oliveira,Jochen Einbeck,Manuel Higueras et al.
María Oliveira et al.
Within the field of cytogenetic biodosimetry, Poisson regression is the classical approach for modeling the number of chromosome aberrations as a function of radiation dose. However, it is common to find data that exhibit overdispersion. In...
Nonparametric estimation of the survival function for ordered multivariate failure time data: A comparative study [0.03%]
有序多变量失效时间数据的生存函数非参数估计方法比较研究
Luís Meira-Machado,Marta Sestelo,Andreia Gonçalves
Luís Meira-Machado
In longitudinal studies of disease, patients may experience several events through a follow-up period. In these studies, the sequentially ordered events are often of interest and lead to problems that have received much attention recently. ...
Emil Scosyrev
Emil Scosyrev
Person-time incidence rates are frequently used in medical research. However, standard estimation theory for this measure of event occurrence is based on the assumption of independent and identically distributed (iid) exponential event time...
Bayesian spatiotemporal analysis of zero-inflated biological population density data by a delta-normal spatiotemporal additive model [0.03%]
基于delta-正态时空可加模型的零膨胀生物种群密度数据的贝叶斯时空分析方法研究
Simona Arcuti,Alessio Pollice,Nunziata Ribecco et al.
Simona Arcuti et al.
We evaluate the spatiotemporal changes in the density of a particular species of crustacean known as deep-water rose shrimp, Parapenaeus longirostris, based on biological sample data collected during trawl surveys carried out from 1995 to 2...
Nonidentical twins: Comparison of frequentist and Bayesian lasso for Cox models [0.03%]
Cox模型中基于频率和Bayesian的LASSO方法的比较
Manuela Zucknick,Maral Saadati,Axel Benner
Manuela Zucknick
One important task in translational cancer research is the search for new prognostic biomarkers to improve survival prognosis for patients. The use of high-throughput technologies allows simultaneous measurement of genome-wide gene expressi...
Testing independence of bivariate interval-censored data using modified Kendall's tau statistic [0.03%]
利用修改后的Kendall等级相关系数检验二元区间截断数据的独立性
Yuneung Kim,Johan Lim,DoHwan Park
Yuneung Kim
In this paper, we study a nonparametric procedure to test independence of bivariate interval censored data; for both current status data (case 1 interval-censored data) and case 2 interval-censored data. To do it, we propose a score-based m...
Pitfalls of hypothesis tests and model selection on bootstrap samples: Causes and consequences in biometrical applications [0.03%]
_bootstrap检验和模型选择中的陷阱：生物计量应用的原因和后果_
Silke Janitza,Harald Binder,Anne-Laure Boulesteix
Silke Janitza
The bootstrap method has become a widely used tool applied in diverse areas where results based on asymptotic theory are scarce. It can be applied, for example, for assessing the variance of a statistic, a quantile of interest or for signif...
Jeffrey M Albert,Cuiyu Geng,Suchitra Nelson
Jeffrey M Albert
Health researchers are often interested in assessing the direct effect of a treatment or exposure on an outcome variable, as well as its indirect (or mediation) effect through an intermediate variable (or mediator). For an outcome following...