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Abstract
An environmental assessment of chemical and oil-spill effects presents unique statistical problems for both design and analysis. Because of the unplanned and accidental nature of a chemical spill, baseline data are usually absent and the quintessential elements of replication and randomization found in true experiments are absent. Alternative approaches to the design of damage assessment studies are presented that investigate spatial and/or temporal trends in biological responses centered about the spill event. Inferential and logistical limitations of alternative designs are discussed along with consideration of the spatial scale for pseudo-replication and the power of tests of impact. Meta-analysis is suggested to improve both the inferential capabilities and statistical power of damage assessments.
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