Biostatistics for Better Health Solutions: How to Jointly Analyze Longitudinal Data and Time-To-Dropout Or Time-To-Death Simultaneously: An Integrative Data Harmonization Approach
![Biostatistics how-to seminar Data is displayed as a graph on a computer screen.](/sites/default/files/2023-03/data-graph-2022-12-15-21-57-05-utc.jpg)
Event description
- Academic events
- Family friendly
- Science
Drawing on theory and prior research, evidence-based research can generate data from different sources and phases of research. A central feature of evidence-based research is the sequential and longitudinal implementation of data analysis allowing research participants to be removed for various study related end-points throughout the research timeline. This how-to seminar is to primarily give an overview of pitfalls in longitudinal data analysis and further discuss an integrative data harmonization with joint modeling of longitudinal data and time-to-event (such as dropout and censored) data simultaneously using real data from a HIV/AIDS clinical trial. We demonstrate that an integrative data harmonization has the potential to produce a more efficient and more powerful statistical analysis.