Git a version control tool designed to track and coordinate changes made to files across both large and small projects, and is a staple of software developers and programmers globally. In clinical statistics, Git can be used to backup, document and track code written when implementing novel statistical methods, simulating trials, analysing trial data, and more. This workshop provides an introduction to Git for clinical statisticians, and covers creating, syncing and updating a git repository. It then expands to cover more complex uses of Git, including managing code written collaboratively by multiple authors and the use of branches for organising the development of code.
No prior experience is required, but this workshop will be run in a tutorial-like manner. Participants are encouraged to sign up for an account at github.com, enable 2-factor authentication and download Github Desktop prior to the workshop so that they can follow along as Git is demonstrated.
Presenter: Dr. Hannah Johns is a research fellow in the Melbourne Medical School at Melbourne University. Her research interests include the development of improved randomisation methods and novel approaches for the analysis of complex and multifaceted outcomes data. She has extensive background in programming, and has developed software supporting clinical research ranging from plugins supporting novel randomisation methods in clinical trials through to web applications which provide clinical researchers with access to novel statistical methods. She is a contributor to the Comprehensive R Archive Network and is passionate about the development of improved practical tools for enabling clinical research.
Latest Resources
-
-
Webinar recording: Historical and non-concurrent controls in clinical trials
-
STInG Chat – ‘Securing Funding: Tips and Tricks for Investigator Grants’
-
Webinar recording: Introduction to Git for Clinical Statisticians
-
The processes involved in a Data and Safety Monitoring Board/Committee with special reference to the role of the various statisticians
-
ACTA STInG grant advice for trial statisticians
-
ACTA STInGChat – ‘Climbing the Career Cascade’
-
Seamless Phase 2_3 Trials in Oncology
-
Career paths for academic biostatisticians
-
ACTA STInG: N-of-1 Trials Webinar Series – Webinar 2
-
ACTA STInG: N-of-1 Trials Webinar Series – Webinar 1
-
Effective strategies to manage data integrity risks webinar
-
The Data Lifecycle: Ethical use of data webinar
-
Transparency in data analyses webinar
-
Webinar PIONEERing estimands in Clinical Research
-
Estimands: Not just a statistical issue
-
Resource for trial statisticians planning to apply for an academic promotion
-
Guidance on Peer Reviewing the Statistical Aspects of a Medical Paper
-
Protocols and Statistical Analysis Plans (SAPs) for Adaptive and Platform Trials
-
Webinar: Estimands in Oncology – How and Why
-
Seven steps for statistical success in clinical trials [Good clinical practice guidelines] Part 2
-
Seven steps for statistical success in clinical trials [Good clinical practice guidelines] Part 1
-
Data and Safety Monitoring Boards Webinar Series: Statistical Principles
-
Data and Safety Monitoring Boards Webinar Series: How to plan well and be prepared for the unexpected
-
Joint webinar on estimands in clinical trials
-
Statistical Analysis Plan (SAP)
-
Data Safety and Monitoring Boards (DSMB) for Adaptive Trials Webinar video
-
Bayesian adaptive randomised clinical trials flyer
-
ACTA STInG Notes from Members’ meeting, October 2019
-
ACTA STInG 2017 Member Survey Results
-
ACTA STInG Submission to the NHMRC Structural Review
Latest Events
-
ACTA STInG Trials Webinar Series: Seamless Phase 2/3 Designs in Oncology
-
ACTA STInG – Stata and R Markdown Demonstrations
-
ACTA STInG 3 part webinar series on Data Transparency (DT)
-
Clinical Trials 2021: National Tribute and Award Ceremony
-
Clarifying clinical trial aims and analysis using the estimands framework
-
Practical approaches to Adaptive Trial Simulation
-
An Introduction to Adaptive Trial Designs
-
Seven steps for statistical success in clinical trials [Good clinical practice guidelines] Part 2
-
Seven steps for statistical success in clinical trials [Good clinical practice guidelines] Part 1
-
Statistical principles – Data and Safety Monitoring Boards Webinar Series
-
How to plan well and be prepared for the unexpected – Data and Safety Monitoring Boards Webinar Series
-
Webinar: Data Safety and Monitoring Boards for Adaptive Trials
-
Bayesian Adaptive Randomised Clinical Trials Workshop, Sydney
-
Bayesian Adaptive Randomised Clinical Trials Workshop, Melbourne
-
Bayesian Adaptive Trials Workshops: Perth