Biostatistics Practicum
Biostatistics Practicum
Biostatistics Practicum
Copyright
Welcome
Preface
Conventions
1
Introduction
Reproducibility Mindset
2
Why Reproducible Research
3
Federal Reproducibility Requirements
4
Team Science for Biostatisticians
Data Science Workstation
5
Setting Up Your Workstation
6
Git and GitHub for Solo Developers
7
Cloud Compute and Remote Servers
Reproducible Infrastructure
8
Research Compendia with rrtools
9
renv for Package Management
10
Docker for Reproducibility
11
The zzcollab Framework
Reproducible Reporting
12
Reproducible Reports with Quarto
13
Rmd Workflow: Conversions and Tables
Data Wrangling and Graphics
14
Data Wrangling Essentials
15
Factors, Strings, and Dates
16
Joining and Reshaping
17
Plotting with ggplot2 and purrr
18
Missing Data: Diagnosis, Imputation, Reporting
Analysis Practice
19
Statistical Analysis Plans
20
Clinical Data Standards: CDISC, SDTM, and ADaM
21
Testing Data Analysis Workflows
22
AI-Assisted Coding
23
SAS for R Programmers
Case Studies and Synthesis
24
Case Study: Palmer Penguins
25
Case Study: ADNI MCI Prediction
26
Course Synthesis and Review
References
Appendices
A
Alternative Wrangling Paradigms
Credits
Colophon
Biostatistics Practicum
Code
Reproducible analysis workflows for biostatisticians.
Copyright