31 to 40 of 690 Results
May 12, 2026 - Liming XIANG
Xiang, Liming, 2026, "Replication Data for: Disease progression based feature screening for ultrahigh-dimensional survival-associated biomarkers", https://doi.org/10.21979/N9/OSRVWN, DR-NTU (Data), V1
This dataset contains the R code for simulation studies reported in the paper "Disease progression based feature screening for ultrahigh-dimensional survival-associated biomarkers". |
May 12, 2026 - Liming XIANG
Xiang, Liming, 2026, "Replication Data for: Analysis of Competing Risks Data with Covariates Subject to Detection Limits", https://doi.org/10.21979/N9/NNUDA2, DR-NTU (Data), V1
This dataset contains a set of simulated data and the R code for simulation studies reported in the paper "Analysis of Competing Risks Data with Covariates Subject to Detection Limits". |
May 12, 2026 - Liming XIANG
Xiang, Liming, 2026, "Replication Data for: Regression analysis of interval-censored competing risks data with missing causes of failure: a direct likelihood approach", https://doi.org/10.21979/N9/MPYZO1, DR-NTU (Data), V1
This dataset contains the MATLAB code used to generate the simulation results reported in the paper "Regression analysis of interval-censored competing risks data with missing causes of failure: a direct likelihood approach". |
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". |
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". |
May 12, 2026
Dr. Xiang Liming's areas of expertise are survival analysis, longitudinal/clustered data analysis, mixture modelling and biostatistics. Her current research work focuses on developing semiparametric methods for analysis of survival data subject to complex censoring that arises in... |
May 9, 2026 - TONG Ping
Tong, Ping, 2026, "Replication Data for: Lithosphere-asthenosphere interactions across the Indo-Burma subduction zone from Sp receiver functions", https://doi.org/10.21979/N9/Z7VCK6, DR-NTU (Data), V1
Seismic Waveforms Recorded in Myanmar |
May 7, 2026
Research topics: • AI for Photonics • Scientific Deep Learning • Optical Super-resolution Imaging • Optical Metrology • Topological AI • Structured Light |
May 2, 2026
Research Topics: Electromagnetic metamaterials and metasurfaces Domain knowledge-guided AI design methods AI-empowered design of electromagnetic metamaterials and antennas Phased array antennas Time-reversal electromagnetics Electromagnetic toroidal pulses |
Apr 30, 2026 - Bent WEBER
Huang, Zihao; Weber, Bent, 2026, "Final Data for: Controlling an altermagnetic spin density wave in the kagome magnet CsCr3Sb5", https://doi.org/10.21979/N9/JBLUVG, DR-NTU (Data), V2
This file contains all source data in main text |
