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• Gerharz A, Ruff C, Wirbka L, Stoll F, Haefeli WE, Groll A, Meid AD. Predicting Hospital Readmissions from Health Insurance Claims Data: A Modeling Study Targeting Potentially Inappropriate Prescribing. Methods Inf Med 2022;61:55-60.
• Meid AD, Wirbka L, Groll A, Haefeli WE. Can Machine Learning from Real-World Data Support Drug Treatment Decisions? A prediction modeling case for direct oral anticoagulants. Med Decis Making 2022;42:587-598.
• Wirbka L, Ruff C, Haefeli WE, Meid AD. A prediction model for nonpersistence or nonadherence to direct oral anticoagulants in hospitalized patients with atrial fibrillation. J Manag Care Spec Pharm 2022;28:1161-1172.
• Meid AD, Groll A, Heider D, Mächler S, Adler JB, Günster C, König HH, Haefeli WE. Prediction of Drug-Related Risks Using Clinical Context Information in Longitudinal Claims Data. Value Health 2018;21:1390-1398.
• Meid AD, von Medem A, Heider D, Adler JB, Günster C, Seidling HM, Quinzler R, König HH, Haefeli WE. Investigating the Additive Interaction of QT-Prolonging Drugs in Older People Using Claims Data. Drug Saf 2017;40:133-144.
• Gasse C, Hollowell J, Meier CR, Haefeli WE. Drug interactions and risk of acute bleeding leading to hospitalization or death in patients with chronic atrial fibrillation treated with warfarin. Thromb Haemost 2005;94:537-43.