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The present data article aims to describe the input parameters for a Markov model assessing the cost-effectiveness of four treatment sequences for patients with HER-2 positive metastatic breast cancer. The model input parameters include costs for physician visits, drugs, adverse event management, computed tomography (CT) scan, laboratory tests, echocardiogram, utilities, disutilities as well as the shape and scale parameters of a log-logistic distribution used for the transition probabilities. Keywords: Markov model, Metastatic breast cancer, Cost-effectiveness analysis, Treatment sequence