Basic Biostatistics For Medical And Biomedical Practitioners - 2nd Ed (2019) Pdf Free Download

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In my 40-year experience of helping medical research workers to analyze their studies, certain problems arose frequently. Many investigators need to compare two Poisson distributions, yet some introductory books on Biostatistics give little attention to the Poisson distribution, even though it answers a frequent question about how often an uncommon event (such as a rare form of cancer) occurs. 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. Prediction and tolerance tests are often needed to set ranges of normal values so that a single measurement can be assessed as 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. An incentive for this book was the lack of books in introductory Biostatistics that could be understood relatively easily, but nevertheless were advanced enough that most readers would not need to consult several additional books or hunt through unfamiliar journals for appropriate tests.


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