This dataverse is a collection of the School of Physical and Mathematical Sciences’ research data.

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

21 to 30 of 8,234 Results
README.md
May 12, 2026 - Replication Data for: Regression analysis of interval-censored competing risks data with missing causes of failure: a direct likelihood approach
Markdown Text - 708 B - MD5: 51f4fc03aad7e023695b95094d14639d
Documentation
Replication Data for: Flexible modeling of left-truncated and interval-censored competing risks data with missing event types
May 12, 2026 - Liming XIANG
Xiang, Liming, 2026, "Replication Data for: Flexible modeling of left-truncated and interval-censored competing risks data with missing event types", https://doi.org/10.21979/N9/HCO7AV, DR-NTU (Data), V1
This dataset contains the MATLAB code used to generate the simulation results reported in the paper "Flexible modeling of left-truncated and interval-censored competing risks data with missing event types".
Mcode.m
May 12, 2026 - Replication Data for: Flexible modeling of left-truncated and interval-censored competing risks data with missing event types
MATLAB Source Code - 6.4 KB - MD5: cb4af006e4ed61c6477494bcb30ee23e
Replication Data for: Learning association from multiple intermediate events for dynamic prediction of survival: an application to cardiovascular disease prognosis
May 12, 2026 - Liming XIANG
Xiang, Liming, 2026, "Replication Data for: Learning association from multiple intermediate events for dynamic prediction of survival: an application to cardiovascular disease prognosis", https://doi.org/10.21979/N9/TQODZO, DR-NTU (Data), V1
This dataset contains simulation results and R code used to generate the results in the paper "Learning association from multiple intermediate events for dynamic prediction of survival: an application to cardiovascular disease prognosis".
CalCopula.R
May 12, 2026 - Replication Data for: Learning association from multiple intermediate events for dynamic prediction of survival: an application to cardiovascular disease prognosis
R Syntax - 10.2 KB - MD5: e3e47645df658dd02c145288c49ce9d9
CalRunTime.R
May 12, 2026 - Replication Data for: Learning association from multiple intermediate events for dynamic prediction of survival: an application to cardiovascular disease prognosis
R Syntax - 5.1 KB - MD5: c7ddbc1e8eca147f7e4c77964aa6f9d0
clayton_divergence_recovery.R
May 12, 2026 - Replication Data for: Learning association from multiple intermediate events for dynamic prediction of survival: an application to cardiovascular disease prognosis
R Syntax - 18.0 KB - MD5: c5cf9dc20c5349f052417c72a16013aa
framinghan_calibration_cens.R
May 12, 2026 - Replication Data for: Learning association from multiple intermediate events for dynamic prediction of survival: an application to cardiovascular disease prognosis
R Syntax - 2.7 KB - MD5: b8b399c1febf10e671a1f2def1f6632e
framinghan.R
May 12, 2026 - Replication Data for: Learning association from multiple intermediate events for dynamic prediction of survival: an application to cardiovascular disease prognosis
R Syntax - 28.7 KB - MD5: 36f64cf2e0e06ab0246ee310ea8ef09f
main.R
May 12, 2026 - Replication Data for: Learning association from multiple intermediate events for dynamic prediction of survival: an application to cardiovascular disease prognosis
R Syntax - 42.2 KB - MD5: 6a71ab1f24b2ea0883905a3e22ecb676
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.