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This monograph provides a concise point of research topics and reference for modeling correlated response data with time-dependent covariates, and longitudinal data for the analysis of population-averaged models, highlighting methods by a variety of pioneering scholars.
Allowing more people to aid in analyzing data-while promoting constructive dialogues with statisticians-this book will hopefully play an important part in unlocking the secrets of these confounding diseases.
In this book, Jeffrey R. Wilson shows how that connection was mediated by Shakespeare, and how a knowledge of the Shakespearean context enriches our understanding of the literary elements of Game of Thrones.
Revealing the modernity of Shakespeare’s politics, and the theatricality of Trump’s
Statistical tools to analyze correlated binary data are spread out in the existing literature. Data and computer programs will be publicly available in order for readers to replicate model development, but learning a new statistical language is not necessary with this book.
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