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Data and Parameter Estimation

Mathematical models become useful for real biological systems when their variables and parameters are connected carefully to observations. Begin with biological data and preparation, then learn how parameters are estimated before studying uncertainty, identifiability, sensitivity, calibration, validation and comparison between competing models.

01Biological data02Data preparation03Parameter estimation04Least squares05Maximum likelihood06Confidence intervals07Identifiability08Sensitivity analysis09Uncertainty quantification10Model calibration11Model validation12Model comparison