Comput Methods Programs Biomed - A bootstrap approach for lower injury levels of the risk curves.

Tópicos

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Resumo

Survival analysis is widely applied to develop injury risk curves from biomechanical data. To obtain more accurate estimation of confidence intervals of parameters, bootstrap method was evaluated by a designed simulation process. Four censoring schemes and various sample sizes were considered to investigate failure time parameters corresponding to low-level injury probabilities. In the numerical simulations, the confidence interval ranges developed by bootstrapping were about two-third of the corresponding ranges calculated by asymptotical normal approximation and showed highest reduction for censored datasets with smaller sample size (= 40). In analysis of two experimental datasets with reduced sample sizes and mixed censored data, it was shown that the bootstrapping reduce significantly the confidence intervals as well. The results presented in this study recommend using bootstrapping in development of more accurate confidence intervals for risk curves in injury biomechanics, which consequently will lead to better regulations and safer vehicle designs.

Resumo Limpo

surviv analysi wide appli develop injuri risk curv biomechan data obtain accur estim confid interv paramet bootstrap method evalu design simul process four censor scheme various sampl size consid investig failur time paramet correspond lowlevel injuri probabl numer simul confid interv rang develop bootstrap twothird correspond rang calcul asymptot normal approxim show highest reduct censor dataset smaller sampl size analysi two experiment dataset reduc sampl size mix censor data shown bootstrap reduc signific confid interv well result present studi recommend use bootstrap develop accur confid interv risk curv injuri biomechan consequ will lead better regul safer vehicl design

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