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BMC Medical Research Methodology|October 10, 2021
Methods for the inclusion of real-world evidence in network meta-analysisDavid A Jenkins, Humaira Hussein, Reynaldo Martina, et al.BMC Medical Research Methodology|October 11, 2021
What do stroke survivors' value about participating in research and what are the most important research problems related to stroke or transient ischemic attack (TIA)? A surveyIshanka Weerasekara, Jasmine Baye, Meredith Burke, et al.BMC Medical Research Methodology|April 9, 2022
Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic reviewPaula Dhiman, Jie Ma, Constanza L Andaur Navarro, et al.BMC Medical Research Methodology|April 11, 2022
Systematic reviews and meta-analysis published in indexed Portuguese medical journals: time trends and critical appraisalLuísa Prada, Ana Prada, Miguel Marques Antunes, et al.BMC Medical Research Methodology|April 14, 2022
Evaluating the performance of Bayesian and restricted maximum likelihood estimation for stepped wedge cluster randomized trials with a small number of clustersKelsey L Grantham, Jessica Kasza, Stephane Heritier, et al.BMC Medical Research Methodology|April 28, 2022
Does imbalance in chest X-ray datasets produce biased deep learning approaches for COVID-19 screening?Lorena Álvarez-Rodríguez, Joaquim de Moura, Jorge Novo, et al.BMC Medical Research Methodology|April 28, 2022
Applications of Bayesian shrinkage prior models in clinical research with categorical responsesArinjita Bhattacharyya, Subhadip Pal, Riten Mitra, et al.BMC Medical Research Methodology|July 26, 2022
Survival prediction models: an introduction to discrete-time modelingKrithika Suresh, Cameron Severn, Debashis GhoshBMC Medical Research Methodology|July 25, 2022
Sample size recalculation based on the prevalence in a randomized test-treatment studyAmra Hot, Norbert Benda, Patrick M Bossuyt, et al.BMC Medical Research Methodology|July 19, 2022
The effect of high prevalence of missing data on estimation of the coefficients of a logistic regression model when using multiple imputationPeter C Austin, Stef van BuurenPageof 394