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BMC Medical Research Methodology|April 5, 2023
A new data driven method for summarising multiple cause of death dataAnnette Dobson, Paul McElwee, Mohammad Reza Baneshi, et al.
BMC Medical Research Methodology|April 10, 2023
Systematic comparison of approaches to analyze clustered competing risks dataSabrina Schmitt, Anika Buchholz, Ann-Kathrin Ozga
BMC Medical Research Methodology|April 10, 2023
Exploring different research questions via complex multi-state models when using registry-based repeated prescriptions of antidepressants in women with breast cancer and a matched population comparison groupNikolaos Skourlis, Michael J Crowther, Therese M-L Andersson, et al.
BMC Medical Research Methodology|April 11, 2023
Sample size calculations for indirect standardizationYifei Wang, Philip Chu
BMC Medical Research Methodology|April 11, 2023
Piloting an automated clinical trial eligibility surveillance and provider alert system based on artificial intelligence and standard data modelsStéphane M Meystre, Paul M Heider, Andrew Cates, et al.
BMC Medical Research Methodology|April 11, 2023
Comparing primary caregivers' reported injury data with routinely recorded injury data to assess predictors of childhood injuryLuam Ghebreab, Bridget Kool, Arier Lee, et al.
BMC Medical Research Methodology|April 15, 2023
A new pathway for considering trigger factors based on parallel-serial connection models and displaying the relationships of causal factors in low-probability eventsLiu Hui
BMC Medical Research Methodology|April 20, 2023
The relationship of publication language, study population, risk of bias, and treatment effects in acupuncture related systematic reviews: a meta-epidemiologic studyJing Li, Xu Hui, Liang Yao, et al.
BMC Medical Research Methodology|April 24, 2023
Comparison of correctly and incorrectly classified patients for in-hospital mortality prediction in the intensive care unitEline Stenwig, Giampiero Salvi, Pierluigi Salvo Rossi, et al.
BMC Medical Research Methodology|March 29, 2023
Modeling COVID-19 disease processes by remote elicitation of causal Bayesian networks from medical expertsSteven Mascaro, Yue Wu, Owen Woodberry, et al.
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