TY - JOUR
T1 - Multiplicity-adjusted inferences in risk assessment
T2 - Benchmark analysis with continuous response data
AU - Wu, Yuping
AU - Piegorsch, Walter W.
AU - West, R. Webster
AU - Tang, Dengfang
AU - Petkewich, Maureen O.
AU - Pan, Wei
N1 - Funding Information:
Acknowledgements Thanks are due Drs. Obaid M. Al-Saidy, Ralph L. Kodell, and Daniela K. Nitcheva for their invaluable support during the project research, and to the Associate Editor and an anonymous referee for their suggestions on the manuscript. This work was funded under grant #R01-CA76031 from the U.S. National Cancer Institute. Its contents are solely the responsibility of the authors and do not necessarily reflect the official views of the National Cancer Institute.
PY - 2006/3
Y1 - 2006/3
N2 - We develop and study multiplicity adjustments for low-dose inferences in environmental risk assessment. Application is intended for risk analysis studies where human, animal, or ecological data are used to set safe levels of a hazardous environmental agent. A modern method for making inferences in this setting is known as benchmark analysis, where attention centers on the dose at which a fixed benchmark level of risk is achieved. Both upper confidence limits on the risk and lower confidence limits on the "benchmark dose" are of interest. In practice, a number of possible benchmark risks may be under study; if so, corrections must be applied to adjust the limits for multiplicity. In this note, we discuss approaches for doing so with continuous, nonquantal response data.
AB - We develop and study multiplicity adjustments for low-dose inferences in environmental risk assessment. Application is intended for risk analysis studies where human, animal, or ecological data are used to set safe levels of a hazardous environmental agent. A modern method for making inferences in this setting is known as benchmark analysis, where attention centers on the dose at which a fixed benchmark level of risk is achieved. Both upper confidence limits on the risk and lower confidence limits on the "benchmark dose" are of interest. In practice, a number of possible benchmark risks may be under study; if so, corrections must be applied to adjust the limits for multiplicity. In this note, we discuss approaches for doing so with continuous, nonquantal response data.
KW - Benchmark dose
KW - Environmental risk analysis
KW - Nonquantal dose response
KW - Quantitative risk assessment
KW - Simultaneous inferences
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U2 - 10.1007/s10651-005-5695-x
DO - 10.1007/s10651-005-5695-x
M3 - Article
AN - SCOPUS:33244458893
SN - 1352-8505
VL - 13
SP - 125
EP - 141
JO - Environmental and Ecological Statistics
JF - Environmental and Ecological Statistics
IS - 1
ER -