Rafael Sauter,Leonhard Held
Rafael Sauter
Analyzing the collected evidence of a systematic review in form of a network meta-analysis (NMA) enjoys increasing popularity and provides a valuable instrument for decision making. Bayesian inference of NMA models is often propagated, espe...
Jingqin Luo,Gina D&#x;Angela,Feng Gao et al.
Jingqin Luo et al.
We propose a unified approach based on a bivariate linear mixed effects model to estimate three types of bivariate correlation coefficients (BCCs), as well as the associated variances between two quantitative variables in cross-sectional da...
Friedhelm Leverkus,Christy Chuang-Stein
Friedhelm Leverkus
In 2010, the Federal Parliament (Bundestag) of Germany passed a new law (Arzneimittelmarktneuordnungsgesetz, AMNOG) on the regulation of medicinal products that applies to all pharmaceutical products with active ingredients that are launche...
Julien Chevallier,Thomas Laloë
Julien Chevallier
The Unitary Events (UE) method is a popular and efficient method used this last decade to detect dependence patterns of joint spike activity among simultaneously recorded neurons. The first introduced method is based on binned coincidence c...
Francesca Mangili,Alessio Benavoli,Cassio P de Campos et al.
Francesca Mangili et al.
We present a robust Dirichlet process for estimating survival functions from samples with right-censored data. It adopts a prior near-ignorance approach to avoid almost any assumption about the distribution of the population lifetimes, as w...
Maximum penalized likelihood estimation in semiparametric mark-recapture-recovery models [0.03%]
半参数标记-回收模型中的最大惩罚似然估计
Théo Michelot,Roland Langrock,Thomas Kneib et al.
Théo Michelot et al.
We discuss the semiparametric modeling of mark-recapture-recovery data where the temporal and/or individual variation of model parameters is explained via covariates. Typically, in such analyses a fixed (or mixed) effects parametric model i...
Augmented Beta rectangular regression models: A Bayesian perspective [0.03%]
基于Bayesian方法的增强Beta矩形回归模型
Jue Wang,Sheng Luo
Jue Wang
Mixed effects Beta regression models based on Beta distributions have been widely used to analyze longitudinal percentage or proportional data ranging between zero and one. However, Beta distributions are not flexible to extreme outliers or...
A framework to assess the value of application of formal criteria to check clinical relevance in RCTs as part of a benefit assessment strategy [0.03%]
评估正式标准在随机对照试验中应用的效益的框架性研究
Werner Vach,Beryl Primrose Gladstone
Werner Vach
Recently, the topic of assessing clinical relevance on top of statistical significance in the analysis of randomized control trials (RCTs) has got increasing attention, in particular as part of benefit assessments. Several formal criteria t...
Olli Saarela,Elja Arjas,David A Stephens et al.
Olli Saarela et al.
While optimal dynamic treatment regimes (DTRs) can be estimated without specification of a predictive model, a model-based approach, combined with dynamic programming and Monte Carlo integration, enables direct probabilistic comparisons bet...
Maëlle Salmon,Dirk Schumacher,Klaus Stark et al.
Maëlle Salmon et al.
One use of infectious disease surveillance systems is the statistical aberration detection performed on time series of counts resulting from the aggregation of individual case reports. However, inherent reporting delays in such surveillance...