The trade-off between parsimony and model complexity for understanding biomedical mechanisms from mathematical models
The results highlight the limits of relying purely on statistical metrics for model selection, particularly when the goal is to obtain biological insight and underscore the importance of balancing model complexity to avoid overfitting and parameter unidentifiability.