Model-based meta-analysis for comparing Vitamin D2 and D3 parent-metabolite pharmacokinetics

2017 ◽  
Vol 44 (4) ◽  
pp. 375-388 ◽  
Author(s):  
Alanna S. Ocampo-Pelland ◽  
Marc R. Gastonguay ◽  
Matthew M. Riggs
2014 ◽  
Vol 40 (1) ◽  
pp. 24-31 ◽  
Author(s):  
P. Assawasuwannakit ◽  
R. Braund ◽  
S. B. Duffull
Keyword(s):  

Biostatistics ◽  
2013 ◽  
Vol 15 (2) ◽  
pp. 370-383 ◽  
Author(s):  
J. Copas ◽  
K. Dwan ◽  
J. Kirkham ◽  
P. Williamson

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Andreas Heinecke ◽  
Marta Tallarita ◽  
Maria De Iorio

Abstract Background Network meta-analysis (NMA) provides a powerful tool for the simultaneous evaluation of multiple treatments by combining evidence from different studies, allowing for direct and indirect comparisons between treatments. In recent years, NMA is becoming increasingly popular in the medical literature and underlying statistical methodologies are evolving both in the frequentist and Bayesian framework. Traditional NMA models are often based on the comparison of two treatment arms per study. These individual studies may measure outcomes at multiple time points that are not necessarily homogeneous across studies. Methods In this article we present a Bayesian model based on B-splines for the simultaneous analysis of outcomes across time points, that allows for indirect comparison of treatments across different longitudinal studies. Results We illustrate the proposed approach in simulations as well as on real data examples available in the literature and compare it with a model based on P-splines and one based on fractional polynomials, showing that our approach is flexible and overcomes the limitations of the latter. Conclusions The proposed approach is computationally efficient and able to accommodate a large class of temporal treatment effect patterns, allowing for direct and indirect comparisons of widely varying shapes of longitudinal profiles.


2020 ◽  
pp. 107769902095240 ◽  
Author(s):  
Guangchao Charles Feng ◽  
Xianglin Su ◽  
Zhiliang Lin ◽  
Yiru He ◽  
Nan Luo ◽  
...  

Examining the determinants of technology acceptance has been a central interest across disciplines. The technology acceptance model (TAM) and its variants and extensions are the most popular theoretical frameworks in this line of research. Two model-based meta-analytical approaches, that is, meta-meta-analysis and conventional meta-analysis, are used to pool the correlations and to test the path relationships among the variables of the TAM. We find that the extended TAM, which we term the TAM Plus, prevails in the model fit testing and that the results of the pooled correlations and path coefficients estimated using the meta-meta-analysis and meta-analysis are generally consistent.


2014 ◽  
Vol 3 (1) ◽  
pp. 31-44 ◽  
Author(s):  
François Mercier ◽  
Laurent Claret ◽  
Klaas Prins ◽  
René Bruno
Keyword(s):  

2012 ◽  
Vol 95 (6) ◽  
pp. 1357-1364 ◽  
Author(s):  
Laura Tripkovic ◽  
Helen Lambert ◽  
Kathryn Hart ◽  
Colin P Smith ◽  
Giselda Bucca ◽  
...  

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