Local influence analysis when interfacing toxicokinetic and proportional hazard models.
We present a local influence analysis to assigned model quantities in the context of a dose-response analysis of cancer mortality in relation to estimated absorbed dose of dioxin. The risk estimation is performed using dioxin dose as a time-dependent explanatory variable in a proportional hazard model. The dioxin dose is computed using a toxicokinetic model, which depends on some factors, such as assigned constants and estimated parameters. We present a local influence analysis to assess the effects on final results of minor perturbations of toxicokinetic model factors. In the present context, there is no evidence of local influence in risk estimates. It is however possible to identify which factors are more influential.
Department of Statistics, Ca' Foscari of Venezia, Venice, Italy. sartori@unive.it
Nicola
N
Sartori
Karl
K
Thomaseth
Alberto
A
Salvan
D002273:Carcinogens / Q000493:pharmacokinetics* / Q000633:toxicity*; D004147:Dioxins / Q000493:pharmacokinetics* / Q000633:toxicity*; D004305:Dose-Response Relationship, Drug; D006801:Humans; D007558:Italy; D009369:Neoplasms / Q000139:chemically induced; D016016:Proportional Hazards Models
D002273:Carcinogens; D004147:Dioxins