Last updated: 2023-11-15
Checks: 1 1
Knit directory: ~/multistate2/
This reproducible R Markdown analysis was created with workflowr (version 1.7.0). The Checks tab describes the reproducibility checks that were applied when the results were created. The Past versions tab lists the development history.
The R Markdown file has unstaged changes. To know which version of
the R Markdown file created these results, you’ll want to first commit
it to the Git repo. If you’re still working on the analysis, you can
ignore this warning. When you’re finished, you can run
wflow_publish
to commit the R Markdown file and build the
HTML.
Great! You are using Git for version control. Tracking code development and connecting the code version to the results is critical for reproducibility.
The results in this page were generated with repository version 988af83. See the Past versions tab to see a history of the changes made to the R Markdown and HTML files.
Note that you need to be careful to ensure that all relevant files for
the analysis have been committed to Git prior to generating the results
(you can use wflow_publish
or
wflow_git_commit
). workflowr only checks the R Markdown
file, but you know if there are other scripts or data files that it
depends on. Below is the status of the Git repository when the results
were generated:
Ignored files:
Ignored: .DS_Store
Ignored: .Rproj.user/
Ignored: analysis/.DS_Store
Ignored: code/.DS_Store
Ignored: data/
Ignored: lesliepics/.DS_Store
Ignored: output/
Ignored: plots/.DS_Store
Unstaged changes:
Modified: analysis/NRI.Rmd
Modified: analysis/fos.Rmd
Modified: analysis/index.Rmd
Modified: analysis/rocplots.Rmd
Note that any generated files, e.g. HTML, png, CSS, etc., are not included in this status report because it is ok for generated content to have uncommitted changes.
These are the previous versions of the repository in which changes were
made to the R Markdown (analysis/index.Rmd
) and HTML
(docs/index.html
) files. If you’ve configured a remote Git
repository (see ?wflow_git_remote
), click on the hyperlinks
in the table below to view the files as they were in that past version.
File | Version | Author | Date | Message |
---|---|---|---|---|
html | 988af83 | Sarah Urbut | 2023-11-14 | Update |
html | f725e58 | Sarah Urbut | 2023-11-13 | update |
html | bf6635e | Sarah Urbut | 2023-11-13 | update |
html | eca19a4 | Sarah Urbut | 2023-11-13 | Update |
Rmd | 14698de | Sarah Urbut | 2023-11-13 | Update |
html | 14698de | Sarah Urbut | 2023-11-13 | Update |
Rmd | ef5f15c | Sarah Urbut | 2023-08-02 | update |
html | ef5f15c | Sarah Urbut | 2023-08-02 | update |
Welcome to my research website. Here we discuss using multistate models, phenotypic and genotypic dta to model transitions between states.
Here We demonstrate figure 1, the proportional representation.
Here We demonstrate figure 3, the survival, ten year interval risk, remaining lifetime risk and 30 year risk under recalibrated Framingham score
Here We demonstrate figure 4, the performance of MSGene versus the PCE and FRS 30 year score in a thresholding and continuous metric, after using per year predictions in a time dependent cox model.
Here We demonstrate figure 5, ten year risk versus absolute risk reduction, remaining lifetime risk versus absolute risk reduction, and absolute risk reduction versus age of initiation marginalized across states and covariate profiles..
Here We demonstrate supplementary figure 1 Net Reclasiffication index
Here We demonstrate the RMSE calculations over all models
Here We demonstrate the AUC-ROC over all ages.
Here We demonstrate the AUC-ROC over all ages in FOS.