Understanding biostatistics / Anders Källén.
Material type:
TextSeries: Statistics in practicePublisher: Chichester, West Sussex, U.K. : Wiley, 2011Description: 1 online resource (xii, 375 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9781119992684; 1119992680Subject(s): Biometry | Biostatistics | Models, Statistical | NATURE -- Reference | SCIENCE -- Life Sciences -- Biology | SCIENCE -- Life Sciences -- General | BiometryGenre/Form: Electronic books. | Electronic books.Additional physical formats: Print version:: Understanding biostatistics.DDC classification: 570.1/5195 LOC classification: QH323.5 | .K35 2011NLM classification: WA 950Online resources: Wiley Online Library | Item type | Current library | Call number | Status | Date due | Barcode |
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Ebooks
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Mysore University Main Library | Not for loan | EBJW772 |
"Understanding Biostatistics looks at the fundamentals of biostatistics, using elementary statistics and explores the nature of statistical tests, the tests that produces the p-values and basic aspects of clinical trials. The concept of distribution functions are discussed, including the Guassian distribution and its importance in biostatistics. The book also looks at problems of estimating parameters in statistical models and looks at the similarities between different models. The author does not set out to provide the definitive text on biostatistics, but rather to provide a guide to the concepts involved and their application in everyday work"--Provided by publisher.
Includes bibliographical references and index.
Statistics and medical science -- Observational studies and the need for clinical trials -- Study design and the bias issue -- The anatomy of a statistical test -- Learning about parameters, and some notes on planning -- Empirical distribution functions -- Correlation and regression in bivariate distributions -- How to compare the outcome in two groups -- Least squares, linear models and beyond -- Analysis of dose response -- Hazards and censored data -- From the log-rank test to the Cox proportional hazards model -- Remarks on some estimation methods.
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