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Titlebook: Clinical Epidemiology and Biostatistics; A Primer for Clinica Michael S. Kramer Book 1988 Springer-Verlag Berlin Heidelberg 1988 biostatist

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Descriptive Statistics and Data Displayspital during a 6-month period. Merely listing the 250 patients with their corresponding ages would convey very little useful information, because the number of individual measurements makes it difficult to discern any overall patterns in the data. In other words, it is difficult to see the forest for the trees.
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Hypothesis Testing and , Valuesom Chapter 6 of cigarette smoking as a risk factor for myocardial infarction (MI), or heart attack. The research hypothesis might be expressed in terms of either a statement (“Cigarette smoking increases the risk of subsequent MI.”) or a question (“Does cigarette smoking increase the risk of subsequent MI? ”).
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Quellen und Senken als Feldursachen,ortions in those subjects with and without the outcome in the two exposure groups and the relative risk (RR) for cohort studies and the odds ratio (OR) for case-control studies. These measures are then usually tested for statistical significance using the χ. test or Fisher exact test.
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Linear Correlation and Regressionortions in those subjects with and without the outcome in the two exposure groups and the relative risk (RR) for cohort studies and the odds ratio (OR) for case-control studies. These measures are then usually tested for statistical significance using the χ. test or Fisher exact test.
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Ratesr 1, however, epidemiology is primarily concerned with groups rather than individuals. Consequently, methods are needed for summarizing or describing measurements in groups. For continuous variables, such summary measures include the mean, median, standard deviation, and other descriptors of the cen
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