a scholarly and professional textbook that explores the consequences and Bayesian remedies in cases where the explanatory variable cannot be measured with precision. The book focuses on both continuous and categorical variables and shows how Bayesian methods might be used to adjust for mismeasurement. With a range of topics from basic research to more complex concepts such as “wrong-model” fitting, this book is a valuable resource for practitioners, students, and researchers in biostatistics and epidemiology. It offers detailed mathematical discussions and illustrated examples to help readers understand and apply Bayesian adjustments for mismeasured variables.

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