Bayesian mixed treatment comparison
Efficacy of biological agents administered as monotherapy in rheumatoid arthritis: a Bayesian mixed-treatment comparison analysis
... Aside from assessing the relative therapeutic efficacy of one biologic compared to another, the issue of which choice of therapy is cost-effective is also an important consideration. Two recent meta-analyses were ...
11
Treatment of chronic HCV genotype 1 infection with telaprevir: a Bayesian mixed treatment comparison of fixed-length and response-guided treatment regimens in treatment-naïve and –experienced patients
... from treatment-naïve or – experienced patients were pooled and ...in treatment-naïve patients, where only two studies examined treatment-experienced ...previous treatment status may increase ...
11
Consistency between direct trial evidence and Bayesian Mixed Treatment Comparison: Is head-to-head evidence always more reliable?
... and treatment effect relationship does not appear to apply within the head-to-head trials (as can be seen in table ...strong treatment effect recorded in the Vogel ...
17
Consistency between direct trial evidence and Bayesian Mixed Treatment Comparison: Is head-to-head evidence always more reliable?
... and treatment effect relationship does not appear to apply within the head-to-head trials (as can be seen in table ...strong treatment effect recorded in the Vogel ...
17
Antifungal treatment for invasive Candida infections: a mixed treatment comparison meta-analysis
... methods of amphotericin B on overall estimate[12]. Our regression covariates were chosen a priori and included: amphotericin delivery and allocation concealment. Anal- yses were conducted using StatsDirect and STATA. For ...
11
Incorporating multiple interventions in meta analysis: an evaluation of the mixed treatment comparison with the adjusted indirect comparison
... the mixed treatment approach.[12,23,24] The mixed treatment comparison is a resource intensive approach to conducting analyses as it requires knowledge of Bayesian principles and ...
12
Checking Consistency of Direct and Indirect Evidence in Mixed Treatment Comparison Meta-analysis
... • At each iteration direct and indirect evidence are compared to form a Bayesian p-value. • No problem handling multi-arm trials[r] ...
22
Use of mixed-treatment-comparison methods in estimating efficacy of treatments for heavy menstrual bleeding
... Eight treatment classes were considered: COCs, danazol, endometrial ablation, LNG- IUS, placebo, progestogens given for less than 2 weeks out of 4 during the menstrual cycle, progestogens given for close to 3 ...
9
Bayesian inference for diffusion-driven, mixed-effects models
... driven mixed-effects models allow the quantification of both between and within individual ...Performing Bayesian inference for such models using discrete-time data that may be incomplete and subject to ...
30
Bayesian Inference for Diffusion-Driven Mixed-Effects Models
... Bayesian Inference for Diffusion-Driven Mixed-Effects Models Gavin ...driven mixed-effects models allow the quantification of both between and within individual ...Performing Bayesian inference ...
30
Bayesian Generalized Kernel Mixed Models
... explicit treatment and in which a fully Bayesian methodology can be carried ...for Bayesian estimation procedures based on the Silverman g-prior (Zhang et ...explicit Bayesian approach to the ...
29
CAS: Bayesian Claim Severity with Mixed Distributions
... of mixed distributions such as this paper’s model is less ...other mixed severity models because it explicitly computes the log likeli- hood for each observed ...
13
A Bayesian Mixed Effects Model of Literary Character
... Our mixed effects Au- thor/Persona model, in contrast, outperforms the other models at hypothesis class C (correctly dis- criminating different character types present in the same ...
10
A Bayesian mixed modeling approach for estimating heritability
... than could be achieved with classical mixed-effects models. For example, by comparing posterior credibility intervals for h 2 pre- versus posttreatment, we can determine if the h 2 changes are a result of ...
6
Bayesian inference for the mixed conditional heteroskedasticity model
... In Bayesian estimation, this is taken care of by enlarging the parameter space with state variables, so that a Gibbs sampling algorithm is easy to ...the Bayesian solution is more reliable since estimation ...
26
Bayesian inference for the mixed conditional heteroskedasticity model
... In Bayesian estimation, this is taken care of by enlarging the parameter space with state variables, so that a Gibbs sampling algorithm is easy to ...the Bayesian solution is more reliable since estimation ...
26
Variational Bayesian Learning of Mixed Erlang Model
... 常用的参数估计法同时也包含EM算法，Dempster最早介绍了EM 算法的详 细说明，当似然函数最大值点不易计算时，可用迭代算法得到最大值点。王继霞 等人将EM 算法用于有限混合Laplace分布的估计。Panchenko和Thümmler; Thümmler等人在网络流量分析的分析中应用了MER分布的EM算法。在EM算法 中，我们需要评估关于潜在变量的后验分布的完全数据对数似然性的期望。针对 EM ...
17
Bayesian linear mixed models with polygenic effects
... Bayesian methods are attractive since generic software systems are available to facilitate the model-building, and they also help to address the issue concerning the uncertainty in parame- ter estimation. ...
26
Bayesian Flexible Modelling of Mixed Logit Models
... makes use of a semi-parametric mixing distribution consisting of a discrete mixture of normal distributions (MOD). Both approaches can approximate any continuous distribution, allowing also for multiple modes, a ...
8
Bayesian performance comparison of text classifiers
... in comparison are totally ignored, which is unreasonable because in reality both classifiers are likely to do well on “easy” test documents, and badly on “dif- ficult” test documents, not to mention that those ...
10