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Titlebook: Epidemiology and Biostatistics; An Introduction to C Bryan Kestenbaum Textbook 2019Latest edition Springer Nature Switzerland AG 2019 biost

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Linear RegressionRegression is a mathematical procedure used to estimate the association between two or more study variables. . is a widely used tool in clinical research studies to adjust for many confounding characteristics simultaneously.
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Germán García Butenegro,Sergei Silvestrov(.) or a group of people (.) who have a specific disease or condition. Case reports and case series typically describe previously unrecognized diseases or unusual variants of a known disease process. Consequently, data from these studies are particularly useful for alerting the health community to t
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Lecture Notes in Computer Sciencee primary reason for uncertainty regarding causation in observational studies is the possibility of confounding. Conceptually, confounding occurs when other causes “stand in the way” of understanding a specific cause of interest. Specifically, confounding is present when characteristics other than t
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Ernest G. Manes,Michael A. Arbibake on an infinite number of possible values theoretically arising from anywhere along a (perhaps truncated) number line. Examples of continuous variables include body temperature, serum cholesterol levels, and left ventricular mass. Many continuous variables in clinical research studies can assume
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Elliptic and Hyperelliptic Cryptosystems, For example, research studies may wish to compare weight among children who are treated versus not treated with stimulant medications, cognitive function among adults with and without a specific genetic variant, or cardiac ejection fraction among persons with and without thyroid disease. Potential
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Carlos Cid,Sean Murphy,Matthew Robshawionship between the predictor variables in the model and the outcome variable under study. In linear regression, each one-unit difference in a predictor variable is associated with some constant difference in the mean value of the outcome variable. In many instances, the assumption of a linear relat
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