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There is a huge amount of literature on statistical models for the prediction of survival after diagnosis of a wide range of diseases like cancer, cardiovascular disease, and chronic kidney disease. Current practice is to use prediction models based on the Cox proportional hazards model and to present those as static models for remaining lifetime after diagnosis or treatment. In contrast, Dynamic Prediction in Clinical Survival Analysis focuses on dynamic models for the remaining lifetime at later points in time, for instance using landmark models.

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The Middle English popular romances enjoyed a wide appeal in later medieval Britain, and even today students of medieval literature will encounter examples of the genre, such as Sir Orfeo, Sir Tristrem, and Sir Launfal. This collection of twelve specially commissioned essays is designed to meet the need for a stimulating guide to the genre. Each essay introduces one popular romance, setting it in its literary and historical contexts, and develops an original interpretation that reveals the possibilities that popular romances offer for modern literary criticism. A substantial introduction...

The renowned and illustrious tales of King Arthur, his knights and the Round Table pervade all European vernaculars, as well as the Latin tradition. Arthurian narrative material, which had originally been transmitted in oral culture, began to be inscribed regularly in the twelfth century, developing from (pseudo-)historical beginnings in the Latin chronicles of "historians" such as Geoffrey of Monmouth into masterful literary works like the romances of Chretien de Troyes. Evidently a big hit, Arthur found himself being swiftly translated, adapted and integrated into the literary traditions...