Biostatistics for Medical and Biomedical Practitioners (2015) Pdf Free Download

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In my 40 years experience of advising medical research workers about how to analyze their studies, certain problems arose frequently. For examples, many investigators wanted to compare two Poisson distributions, yet some introductory books on Biostatistics give little attention to the Poisson distribution, even though it is an important distribution that answers the question about how often a rare event occurs, such as the number of deliveries per hour in a delivery room. Few people can navigate the minefield of multiple comparisons, involved when several different groups are compared, often done incorrectly by performing multiple t-tests, yet most elementary texts do not deal with this problem adequately. Problems of repeated measures analysis in which several measurements are made in each member of the group and thus are not independent occur frequently in medical research but are not often discussed. Tolerance tests are often needed to set ranges of normal values so that a single measurement can be assessed as likely to be normal or abnormal (such as a single fasting blood glucose concentration). Because most basic books do not discuss this problem, most people incorrectly set confidence limits that should apply only to mean values. In fact, one of the incentives for this book was the lack of books in introductory Biostatistics that could be understood relatively easily, but nevertheless were advanced enough that most investigators would not need to buy additional books or hunt through unfamiliar journals for appropriate tests.

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