A comprehensive compilation of new developments in data linkage methodology The increasing availability of large administrative databases has led to a dramatic rise in the use of data linkage, yet the standard texts on linkage are still those which describe the seminal work from the 1950-60s, with some updates. Linkage and analysis of data across sources remains problematic due to lack of discriminatory and accurate identifiers, missing data and regulatory issues. Recent developments in data linkage methodology have concentrated on bias and analysis of linked data, novel approaches to organising relationships between databases and privacy-preserving linkage. Methodological Developments in Data Linkage brings together a collection of contributions from members of the international data linkage community, covering cutting edge methodology in this field. It presents opportunities and challenges provided by linkage of large and often complex datasets, including analysis problems, legal and security aspects, models for data access and the development of novel research areas. New methods for handling uncertainty in analysis of linked data, solutions for anonymised linkage and alternative models for data collection are also discussed. Key Features: Presents cutting edge methods for a topic of increasing importance to a wide range of research areas, with applications to data linkage systems internationally Covers the essential issues associated with data linkage today Includes examples based on real data linkage systems, highlighting the opportunities, successes and challenges that the increasing availability of linkage data provides Novel approach incorporates technical aspects of both linkage, management and analysis of linked data This book will be of core interest to academics, government employees, data holders, data managers, analysts and statisticians who use administrative data. It will also appeal to researchers in a variety of areas, including epidemiology, biostatistics, social statistics, informatics, policy and public health.
Lyrical Strategies advances the highly original idea that not all literary fiction should be read as a novel. Instead, Katie Owens-Murphy identifies a prominent type of American novel well suited to the reading methods of lyric poetry and exhibiting lyric frameworks of structural repetition, rhythm, figurative meaning, dramatic personae, and exclusive address. Owens-Murphy surveys a broad array of writers: poets from the lyrical transatlantic tradition, as well as American novelists including Gertrude Stein, Jean Toomer, William Faulkner, Toni Morrison, Louise Erdrich, and Cormac McCarthy. Through a masterful reexamination of canonical works of twentieth-century American fiction through the lens of lyric poetry, she reveals how many elements in these novels can be better understood as poetic and rhetorical figures (metaphysical conceit, polysyndeton, dramatic monologue, apostrophe, and so on) than as narrative ones. Making fresh contributions to literary theory and American fiction, Lyrical Strategies will fascinate readers and scholars of the American novel, fiction, poetry, and poetics alike.
The ultimate gift book for the bride, her mother, bridesmaids, friends, and the occasional groom. Fascinating facts include the world's longest wedding ceremony, shortest ceremony, and most-watched ceremony (on television). Also included is vital information on diamond engagement rings, gift guidelines for each anniversary, the significance of rice, the meaning of flowers used in bouquets, and the story behind traditions and sayings like "something old, something new." The book will be equally popular as a gift and curiosity for the nearly wed or as a resource for those hard-to-find facts that provide the background on much of the traditional wedding lore. A complete index provides access by topic.
A comprehensive compilation of new developments in data linkage methodology The increasing availability of large administrative databases has led to a dramatic rise in the use of data linkage, yet the standard texts on linkage are still those which describe the seminal work from the 1950-60s, with some updates. Linkage and analysis of data across sources remains problematic due to lack of discriminatory and accurate identifiers, missing data and regulatory issues. Recent developments in data linkage methodology have concentrated on bias and analysis of linked data, novel approaches to organising relationships between databases and privacy-preserving linkage. Methodological Developments in Data Linkage brings together a collection of contributions from members of the international data linkage community, covering cutting edge methodology in this field. It presents opportunities and challenges provided by linkage of large and often complex datasets, including analysis problems, legal and security aspects, models for data access and the development of novel research areas. New methods for handling uncertainty in analysis of linked data, solutions for anonymised linkage and alternative models for data collection are also discussed. Key Features: Presents cutting edge methods for a topic of increasing importance to a wide range of research areas, with applications to data linkage systems internationally Covers the essential issues associated with data linkage today Includes examples based on real data linkage systems, highlighting the opportunities, successes and challenges that the increasing availability of linkage data provides Novel approach incorporates technical aspects of both linkage, management and analysis of linked data This book will be of core interest to academics, government employees, data holders, data managers, analysts and statisticians who use administrative data. It will also appeal to researchers in a variety of areas, including epidemiology, biostatistics, social statistics, informatics, policy and public health.
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