Methodological review details statistical frameworks for quantal assay data, suggesting improved precision in dose-response estimation across biological assays.
Data, preliminary analyses and mechanistic models maximum-likelihood fitting of simple models extensions and alternatives extended models for quantal assay data describing time to response overdispersion non-parametric and robust methods design and sequential methods. Appendices: approximation procedures GLMs and GLIM bordering hessians asymptotically equivalent tests of hypotheses computing solutions and comments for selected exercises.
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Crawford et al. (1994) studied this question.
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