Key result
Rigorous and transparent statistical methodology is essential in observational studies evaluating disease-modifying therapies for multiple sclerosis to avoid erroneous conclusions due to bias.
Highlights the importance of rigorous and transparent statistical methodology when analyzing observational data for multiple sclerosis therapies.
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.
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Kalinčík et al. (2016) conducted an editorial in Multiple sclerosis. Disease modifying therapies was evaluated. Rigorous and transparent statistical methodology is essential in observational studies evaluating disease-modifying therapies for multiple sclerosis to avoid erroneous conclusions due to bias.
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