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BMC Medical Research Methodology|June 15, 2019
Preventing bias from selective non-response in population-based survey studies: findings from a Monte Carlo simulation studyKristin Gustavson, Espen Røysamb, Ingrid Borren
BMC Medical Research Methodology|June 15, 2019
Understanding health management and safety decisions using signal processing and machine learningLisa Aufegger, Colin Bicknell, Emma Soane, et al.
BMC Medical Research Methodology|June 16, 2019
The impact of varying cluster size in cross-sectional stepped-wedge cluster randomised trialsJames Thomas Martin, Karla Hemming, Alan Girling
BMC Medical Research Methodology|October 28, 2021
Spatial data analysis of malnutrition among children under-five years in EthiopiaHaile Mekonnen Fenta, Temesgen Zewotir, Essey Kebede Muluneh
BMC Medical Research Methodology|October 17, 2019
Acceptability and barriers to implementation of N-of-1 tests in Ethiopia - a qualitative studyChalachew Alemayehu, Geoff Mitchell, Jane Nikles, et al.
BMC Medical Research Methodology|October 17, 2019
Multi-cohort modeling strategies for scalable globally accessible prostate cancer risk toolsJohanna Tolksdorf, Michael W Kattan, Stephen A Boorjian, et al.
BMC Medical Research Methodology|March 7, 2022
Documenting patients' and providers' preferences when proposing a randomized controlled trial: a qualitative explorationDevesh Oberoi, Cynthia Kwok, Yong Li, et al.
BMC Medical Research Methodology|March 7, 2022
Detecting the patient's need for help with machine learning based on expressionsLauri Lahti
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