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The primary predictors of discrepancies in force predictions were differences in pelvis width (p0.001), body mass index (BMI, p0.001) and stump length to pelvis width ratio (p0.001) between the respective individual and underlying dataset. Linear scaling to a model with the most similar pelvis width, BMI and stump length to pelvis width ratio results in modelling outcomes with minimal errors. This study provides robust tools to perform accurate analyses of musculoskeletal mechanics for high-functioning lower limb military am