LAUSR

Highlights • Death involves the final collapse of vital physiological networks, and the timing of this collapse provides a systems-level measure of aging.• Many of the best statistical models for lifespan data common in the clinical literature are rarely applied in basic research studies.• Multivariate regression models allow differences between experimental replicates to be explicitly measured and accounted for when estimating the effect of interventions.• Semi-parametric models allow interventions to be studied with fewer implicit assumptions regarding the empiric data.• Competing risk models and mixture models provide formal frameworks for reasoning about multi-causal, multi-outcome aging processes.