A Poetics of Annotation: Alexander Pope's Footnotes

Studies of Alexander Pope's poetry tend to examine only the footnotes to his Dunciads, if they examine his footnotes at all. This dissertation will address this deficit in our understanding of Pope's poetics through an examination of Pope's use of footnotes in support of his verse throughout his career. With Gerard Genette's taxonomy of footnotes as variously paratext and text and Hugh Kenner's idea of the technological space of the printed page as frameworks within which Pope's footnotes operate, this dissertation will show that – over the course of his career – Pope developed a poetics of annotation that deployed footnotes rhetorically as appeals to ethos and pathos that both built up Pope's own authorial ethos for his audience in the literary market place of early eighteenth-century London and for posterity and used that authorial ethos in support of his literary and political friends.

An R-package for the Estimation and Testing of Multiple Covariates and Biomarker Interactions for Survival Data Based on Local Partial Likelihood

When we study the variables that a ffect survival time, we usually estimate their eff ects by the Cox regression model. In biomedical research, e ffects of the covariates are often modi ed by a biomarker variable. This leads to covariates-biomarker interactions. Here biomarker is an objective measurement of the patient characteristics at baseline. Liu et al. (2015) has built up a local partial likelihood bootstrap model to estimate and test this interaction e ffect of covariates and biomarker, but the R code developed by Liu et al. (2015) can only handle one variable and one interaction term and can not t the model with adjustment to nuisance variables. In this project, we expand the model to allow adjustment to nuisance variables, expand the R code to take any chosen interaction terms, and we set up many parameters for users to customize their research. We also build up an R package called "lplb" to integrate the complex computations into a simple interface. We conduct numerical simulation to show that the new method has excellent fi nite sample properties under both the null and alternative hypothesis. We also applied the method to analyze data from a prostate cancer clinical trial with acid phosphatase (AP) biomarker.