scholarly journals Reply: Towards personalized therapy for multiple sclerosis: limitations of observational data

Brain ◽  
2018 ◽  
Vol 141 (5) ◽  
pp. e39-e39
Author(s):  
Tomas Kalincik
Brain ◽  
2018 ◽  
Vol 141 (5) ◽  
pp. e38-e38 ◽  
Author(s):  
Ewout W Steyerberg ◽  
Brian Claggett

2008 ◽  
Vol 9 (17) ◽  
pp. 3053-3067 ◽  
Author(s):  
Iván Martinez-Forero ◽  
Antonio Pelaez ◽  
Pablo Villoslada

Brain ◽  
2017 ◽  
Vol 140 (9) ◽  
pp. 2426-2443 ◽  
Author(s):  
Tomas Kalincik ◽  
Ali Manouchehrinia ◽  
Lukas Sobisek ◽  
Vilija Jokubaitis ◽  
Tim Spelman ◽  
...  

2016 ◽  
Vol 23 (1) ◽  
pp. 21-22 ◽  
Author(s):  
Tomas Kalincik ◽  
Maria Pia Sormani

Analyses of observational data have been gaining momentum in the evaluation of ever increasing spectrum of disease modifying therapies for multiple sclerosis. While high cost-effectiveness and generalisability represent their main advantages, these studies are also burdened with high risk of bias that may lead to erroneous conclusions. In this viewpoint, we highlight the key role of rigorous and transparent statistical methodology in the studies of observational data and encourage its thorough editorial scrutiny.


2019 ◽  
Vol 53 (4) ◽  
pp. 513-534
Author(s):  
E. Yu. Tsareva ◽  
O. O. Favorova ◽  
A. N. Boyko ◽  
O. G. Kulakova

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