Parameter estimation and bootstrap methods flowchart. The demonstrated method calculates confidence intervals in the sensitivity of limit cycle models. An oscillatory model and experimental (or simulated) data are inputs to the bootstrap method. Unique data sets are then used to calculate optimum limit cycle trajectories. The resulting distribution in sensitivities highlight whether a particular response is identifiable (i.e., consistent across the majority of bootstrap trials).