Titlebook: Biostatistics With ‘R‘: A Guide for Medical Doctors; Marco Moscarelli Book 2023 The Editor(s) (if applicable) and The Author(s), under exc

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https://doi.org/10.1057/9780230594869st in medicine are numeric, such as length of hospital stay, amount of bleeding, etc. The outcome of interest is also named the dependent or response variable. Intuitively, the independent variables or explanatory variables are the covariates that may influence the dependent variables. Independent v

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https://doi.org/10.1057/9780230594869is .. Logistic regression is frequently encountered in scientific medical papers, but is also pivotal for machine learning. We use logistic regression when we are interested in classification, to compute the probability of the outcome of interest occurring with certain predictors. Notably, the outco

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Merchants, Traders, Entrepreneurshat PSM is a . statistical technique applied in observational studies, where a . is matched with a . (or in some cases .) based on each case’s propensity score. In simple words, thanks to PSM we may be able to obtain two groups of individuals . for baseline covariates, with little imbalance of covar

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https://doi.org/10.1007/978-3-031-33073-5R-project; Statistical analysis; Data science; Propensity score matching; Data type in R

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978-3-031-33075-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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,How “R” Works,hich are already installed in “R”, others need to be downloaded and loaded into “R”. R-studio is a simpler interface of “R” and is easier and more intuitive to use. However, to use R-studio, you must also install the full version of “R”. This chapter explains how to install both “R” and R-studio, ho