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15 | 15 | "\n",
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16 | 16 | "## Course Description \n",
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17 | 17 | "\n",
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18 |
| - "Regression analysis is a fundamental statistical technique used to model the relationship between multiple variables. It is a very flexible tool that can handle a range of different data types (continuous, binary or categorical) and address both complex and simple research questions. In this hands on workshop you will learn how to fit a range of regression models with R, how to interpret the output and the link between regression and other common statistical tools.\n", |
| 18 | + "Regression analysis is a fundamental statistical technique used to model the relationship between multiple variables. It is a very flexible tool that can handle a range of different data types (continuous, binary or categorical) and address both complex and simple research questions. In this hands-on workshop you will learn how to fit a range of regression models with R, how to interpret the output and the link between regression and other common statistical tools.\n", |
19 | 19 | "\n",
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20 | 20 | "## Course Objectives\n",
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21 | 21 | "- Understand the types of questions regression can be used to answer.\n",
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22 |
| - "- Be able to fit a linear regression model with multiple predictor variables.\n", |
23 |
| - "- Be able to fit logistic regression model with multiple predictor variables.\n", |
24 |
| - "- Be able to extract and summarise the results from a range of regression models.\n", |
25 |
| - "- Be able to design a regression model appropriate for addressing their specific research question.\n", |
| 22 | + "- Learn to fit a linear regression model with multiple predictor variables.\n", |
| 23 | + "- Learn to fit logistic regression model with multiple predictor variables.\n", |
| 24 | + "- Understand how to extract and summarise the results from a range of regression models.\n", |
| 25 | + "- Know how to design a regression model appropriate for addressing the participant's specific research question.\n", |
26 | 26 | "\n",
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27 | 27 | "## Pre-requisite Knowledge\n",
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28 | 28 | "\n",
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29 | 29 | "Learners are expected to already be familiar with the basics of R, such as how to load a dataset from a local file and manipulate variables.\n",
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30 | 30 | "\n",
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31 | 31 | "## Installation Guide \n",
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32 | 32 | "\n",
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| 33 | + "All CfRR courses require attendees to use their own computer/laptop to follow workshop activities and take effective notes. \n", |
| 34 | + "\n", |
33 | 35 | "As this course extends upon Introduction to R, the installation instructions for the base R elements are the same, available [here](intro_to_r.ipynb).\n",
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34 | 36 | "\n",
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35 |
| - "Alongside having R itself, you will need some additional packages: \n", |
36 |
| - "Install necessary R packages\n", |
37 |
| - "Three packages are needed for this workshop. The first two (devtools & learnr) are available from CRAN. The third is a package we have developed with the course materials and is available from GitHub (cfrrRTutorials).\n", |
| 37 | + "Alongside having R itself, three packages are needed for this workshop. The first two (devtools & learnr) are available from CRAN. The third is a package we have developed with the course materials and is available from GitHub (cfrrRTutorials).\n", |
38 | 38 | "\n",
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39 | 39 | "This code will install these three packages.\n",
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40 | 40 | "```\n",
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