| LDR | | | 00000cab a2200000 4500 |
| 001 | | | MAP20140005963 |
| 003 | | | MAP |
| 005 | | | 20140227133448.0 |
| 008 | | | 140217e20140113esp|||p |0|||b|spa d |
| 040 | | | $aMAP$bspa$dMAP |
| 084 | | | $a7 |
| 245 | 0 | 0 | $aBenchmark dose analysis via nonparametric regression modeling$cWalter W. Piegorsch...[et.al] |
| 520 | | | $aEstimation of benchmark doses (BMDs) in quantitative risk assessment traditionally is based upon parametric dose-response modeling. It is a well-known concern, however, that if the chosen parametric model is uncertain and/or misspecified, inaccurate and possibly unsafe low-dose inferences can result. We describe a nonparametric approach for estimating BMDs with quantal-response data based on an isotonic regression method, and also study use of corresponding, nonparametric, bootstrap-based confidence limits for the BMD. We explore the confidence limits¿ small-sample properties via a simulation study, and illustrate the calculations with an example from cancer risk assessment. It is seen that this nonparametric approach can provide a useful alternative for BMD estimation when faced with the problem of parametric model uncertainty. |
| 773 | 0 | | $wMAP20077000345$tRisk analysis : an international journal$dMcLean, Virginia : Society for Risk Analysis, 1987-2015$x0272-4332$g13/01/2014 Volumen 34 Número 1 - enero 2014 |
| 856 | | | $yMÁS INFORMACIÓN$umailto:centrodocumentacion@fundacionmapfre.org?subject=Consulta%20de%20una%20publicaci%C3%B3n%20&body=Necesito%20m%C3%A1s%20informaci%C3%B3n%20sobre%20este%20documento%3A%20%0A%0A%5Banote%20aqu%C3%AD%20el%20titulo%20completo%20del%20documento%20del%20que%20desea%20informaci%C3%B3n%20y%20nos%20pondremos%20en%20contacto%20con%20usted%5D%20%0A%0AGracias%20%0A |
