Analyzing environmental bioassays with spatial odds, risk, and survival probability ratio regressions

Environmental bioassays, such as sediment toxicity tests, provide a broad survey of toxicity that is crucial for the conservation and protection of marine and estuarine ecosystems. Using odds, risk, and survival probability ratios, this paper presents a critical evaluation of sediment toxicity tests data collected in the New York–New Jersey harbor area. It further derives spatial regression analysis to combine test results, predict toxicity at unsampled locations, and determine the effects of specific contaminants. The proposed spatial analysis is based on non-Euclidean distances and is applicable to complex sampling domains with nonconvex boundaries. The findings suggest that current practices can be improved with the use of relevant statistical methods with odds, risk, survival probability ratios, and attributable effects.