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  • av Alastair Scott, Nilanjan Chatterjee, Mitchell H. Gail, m.fl.
    649,-

    This handbook provides an in-depth treatment of up-to-date and currently developing statistical methods for the design and analysis of case-control studies, with a primary focus on case-control studies in epidemiology. Authors will be encouraged to illustrate the statistical methods they describe by application to datasets that are either alread

  • - A Journey in Familiar and Foreign Scotland
    av Alastair Scott
    194,-

    After ten years of wanderlust which took him to nearly seventy countries around the world, Alastair Scott decided it was time to make 'home' his destination. Resolving to explore Scotland and the Scottish people in as much depth and breadth as possible, the author drew up an itinerary which would take him from the outermost isle to the innermost city, sampling the experiences of modern Scotland in all their diversity. Encompassing issues of the land, eccentrics in castles, the state of the Gaidheal, homelessness in Edinburgh, and all the idiosyncrasies of history, development and decline in between, Scott's journey covered four thousand miles of island, mountain and lowland. The variety of place and circumstance was exceeded only by that of the characters encountered en route. The result is a detailed and engrossing portrait of contemporary Scotland, and of one man's rediscovery of his native land.

  • av Alastair Scott, Nilanjan Chatterjee, Mitchell H. Gail, m.fl.
    1 467,-

    This handbook provides an in-depth treatment of up-to-date and currently developing statistical methods for the design and analysis of case-control studies, with a primary focus on case-control studies in epidemiology. Authors will be encouraged to illustrate the statistical methods they describe by application to datasets that are either already publicly available or can be made so. A handbook website will be established that provides readers access to those datasets and software used to analyze them. Wherever feasible, authors will be asked to construct their examples using the R statistical language, though programs in SAS, Stata or other common languages will also be accepted.

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