標(biāo)題: Titlebook: Biostatistics With ‘R‘: A Guide for Medical Doctors; Marco Moscarelli Book 2023 The Editor(s) (if applicable) and The Author(s), under exc [打印本頁] 作者: Coarctation 時間: 2025-3-21 17:42
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作者: appall 時間: 2025-3-21 23:56
https://doi.org/10.1057/9780230594869r we will discuss the way linear regression works, from simple to multivariable regression, and how to interpret the model. We will touch upon the importance of residuals and how to check for model assumptions. Finally, I will explain how to transform non-linear terms to linear and the value of the generalised additive models.作者: 有組織 時間: 2025-3-22 03:50 作者: 微枝末節(jié) 時間: 2025-3-22 08:02
Linear Regression,r we will discuss the way linear regression works, from simple to multivariable regression, and how to interpret the model. We will touch upon the importance of residuals and how to check for model assumptions. Finally, I will explain how to transform non-linear terms to linear and the value of the generalised additive models.作者: GNAW 時間: 2025-3-22 09:07 作者: innovation 時間: 2025-3-22 14:39 作者: Perennial長期的 時間: 2025-3-22 19:38
Monopoly: Merchants and Monarchy,er shows how to define the structure of variables and how to convert them if wrongly coded. It also shows how to further visualise data and how to produce tables that depict specific variables with the . R-package.作者: 思想流動 時間: 2025-3-22 21:53 作者: 懲罰 時間: 2025-3-23 03:27
Merchants, Traders, Entrepreneurs covers the greedy (nearest-neighbour) matching with caliper adjustment. Measurement of imbalance, like standardised mean difference, and how to interpret estimation of treatment effect are also discussed.作者: 鋼筆尖 時間: 2025-3-23 08:57 作者: 真 時間: 2025-3-23 11:27 作者: prostate-gland 時間: 2025-3-23 16:05 作者: Biomarker 時間: 2025-3-23 20:48
,How “R” Works,w R-studio works and how to create objects, basic functions and other fundamental features. Coding in “R” can be intricate, so this chapter demonstrates straightforward examples. It also introduces “scripts” (text files containing commands), which are extensively used in “R”.作者: Eulogy 時間: 2025-3-23 22:38
Hypothesis Testing,arametric versions or with different variance. Those statistical tests are commonly used in daily practice and are always found in scientific and medical papers. Finally, it briefly explains how to build matrices in “R”.作者: Isthmus 時間: 2025-3-24 02:29
Book 2023R and biostatistics.?. .Specifically designed for whoever works in the medical-academic environment, this practical guide will help the reader to become familiar with basic to advanced biostatistics topic (descriptive - analysis / regression etc.) and to?gain solid knowledge of R.?.作者: Debark 時間: 2025-3-24 08:59 作者: 天賦 時間: 2025-3-24 13:01 作者: BOLUS 時間: 2025-3-24 18:52
with a dataset called ‘MMstat’.This book aims not only to introduce fundamental biostatistics topics but to explain them through R-project (R-studio). ‘R‘ is perhaps the more used statistical software in the medical field.?.It is structured as a ‘scientific journey‘ and comes with a sham yet realis作者: sinoatrial-node 時間: 2025-3-24 21:48
Monopoly: Merchants and Monarchy,tile, boxplot and density plot are all important graphical tools to inspect for normality. This chapter will also explain the basics of ., the most used R-package for creating elegant plotting in “R”, and provide examples of how to create a plot layer by layer.作者: 破裂 時間: 2025-3-24 23:41
Merchants, Markets and Manufacturevel) and tells us how confident we are that the true population parameter is included in the range. There is a trade-off between precision and accuracy, yet larger sample sizes mitigate this interchange.作者: 善辯 時間: 2025-3-25 06:19 作者: Resign 時間: 2025-3-25 07:55
Precision, Accuracy and Indices of Central Tendency,vel) and tells us how confident we are that the true population parameter is included in the range. There is a trade-off between precision and accuracy, yet larger sample sizes mitigate this interchange.作者: FOR 時間: 2025-3-25 12:44
The Background: Private Trade before the NEPThere is only one way to learn “R”, download “R” (and “R-studio”, which makes life simpler) and start typing. Simply type anything and you will learn by doing. Well, probably you will need a helping hand, but the message is that you need to practice using “R”, a lot!作者: Flounder 時間: 2025-3-25 18:25 作者: 舊石器 時間: 2025-3-25 20:57
,Formal Indianisation and After, 1976–91,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作者: 現(xiàn)實 時間: 2025-3-26 00:43
,Formal Indianisation and After, 1976–91,ally visualising data to achieve a better understanding of it..This chapter sets out how to import a dataset, using the example dataset ., and how to start analysis of it, in the sense of starting to understand the nature of the variables that form the dataset and how to visualise differences betwee作者: 隱士 時間: 2025-3-26 07:07
Monopoly: Merchants and Monarchy,: numeric and non-numeric..However, they can also be described more specifically. Numeric variables with no decimals (e.g. number/s of bypasses performed) are defined as “integers”. Non-numeric variables with two levels (e.g. male or female) are called “factors”, and with more than two levels “chara作者: Airtight 時間: 2025-3-26 11:47
Monopoly: Merchants and Monarchy,f a standard normal distribution are and how to graphically and numerically ascertain if a variable is normally distributed. Histograms, quantile-quantile, boxplot and density plot are all important graphical tools to inspect for normality. This chapter will also explain the basics of ., the most us作者: Analogy 時間: 2025-3-26 16:12 作者: Herd-Immunity 時間: 2025-3-26 20:30
https://doi.org/10.1057/9780230513600tween two variables. If they move towards the same direction, the correlation is .; if they move in opposite directions, the correlation is .. Correlation is part of descriptive statistics and is ultimately exploratory data analysis. In the “R” environment we can plot all numeric variables at once; 作者: Decimate 時間: 2025-3-27 00:08 作者: Femish 時間: 2025-3-27 02:54
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作者: 威脅你 時間: 2025-3-27 07:38
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作者: 免費 時間: 2025-3-27 10:34 作者: 委派 時間: 2025-3-27 16:19
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作者: 有偏見 時間: 2025-3-27 18:02 作者: 老人病學(xué) 時間: 2025-3-28 01:20
http://image.papertrans.cn/b/image/188586.jpg作者: irradicable 時間: 2025-3-28 05:21
https://doi.org/10.1007/978-3-031-33073-5R-project; Statistical analysis; Data science; Propensity score matching; Data type in R作者: bourgeois 時間: 2025-3-28 09:14
978-3-031-33075-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 駕駛 時間: 2025-3-28 13:06
,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作者: extract 時間: 2025-3-28 18:16 作者: gruelling 時間: 2025-3-28 21:21
,Data Types in “R”,: numeric and non-numeric..However, they can also be described more specifically. Numeric variables with no decimals (e.g. number/s of bypasses performed) are defined as “integers”. Non-numeric variables with two levels (e.g. male or female) are called “factors”, and with more than two levels “chara作者: Frenetic 時間: 2025-3-28 23:46
Data Distribution,f a standard normal distribution are and how to graphically and numerically ascertain if a variable is normally distributed. Histograms, quantile-quantile, boxplot and density plot are all important graphical tools to inspect for normality. This chapter will also explain the basics of ., the most us作者: Annotate 時間: 2025-3-29 04:12 作者: 巨碩 時間: 2025-3-29 07:31 作者: FRET 時間: 2025-3-29 14:37 作者: 大量 時間: 2025-3-29 19:31
Linear Regression,st 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作者: 浪費時間 時間: 2025-3-29 21:23
Logistic Regression,is .. 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作者: 拍翅 時間: 2025-3-30 02:17
Time-to-Event Analysis,e outcome is mortality. For the latter, the outcome can be any binary event (i.e. cancer relapse, re-hospitalisation, etc.). Time-to-event/survival analysis is somewhat similar to logistic regression, since the outcome of interest is binary. Yet the underlying math is different, and for survival ana
