We develop bespoke software solutions to solve your problems
SOFTWARE DEVELOPMENT
Scroll Down
msm.stacked
We developed the {msm.stacked} R package to simplify creating stacked probability plots after fitting multi-state models via the {msm} package. Models with and without covariates are supported, and plots can be further customised by the user beyond the default {ggplot2} style.
{msm.stacked} is openly available on our GitHub page.
Related Resources
Videos
State-of-the-art statistical models for modern HTA
At @RedDoorAnalytics, we develop methodology and software for efficient modelling of biomarkers, measured repeatedly over time, jointly with survival outcomes, which are being increasingly used in cancer settings. We have also developed methods and software for general non-Markov multi-state survival analysis, allowing for the development of more plausible natural history models, where patient history can […]
Learn more Videos
Multilevel (hierarchical) survival models: Estimation, prediction, interpretation
Hierarchical time-to-event data is common across various research domains. In the medical field, for instance, patients are often nested within hospitals and regions, while in education, students are nested within schools. In these settings, the outcome is typically measured at the individual level, with covariates recorded at any level of the hierarchy. This hierarchical structure […]
Learn more Statistical Primers
What are competing risks?
Competing risks In survival analysis, competing risks refer to the situation when an individual is at risk of experiencing an event that precludes the event under study to occur. Competing risks commonly occur in studies of cause-specific mortality, as all other causes of death than the one under study might happen before the individuals “have […]
Learn more 