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51 to 60 of 7,878 Results
try_group.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 - 766 B - MD5: 5a75670dc67aa5441d4cc2373a669951
try_gumbel.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 - 7.4 KB - MD5: d6d23f8484f36374c122cf845f3bb9d7
try_mis.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 - 9.5 KB - MD5: 564f45ca3731d57149dad971a1963160
try_miswedge.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 - 1.2 KB - MD5: c76af6fdc84039512230fa074a4586ee
try_pred.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 - 7.1 KB - MD5: 8594ddebc44bc417d681db52d5978783
try.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 - 7.3 KB - MD5: 8d4d8cac5fa29e50690bd14826aa8df9
try_split.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 - 2.3 KB - MD5: ae92a70baae06b82731053f1208c33b2
Liming XIANG(Nanyang Technological University)
Liming XIANG logo
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...
Bai_etal._2026_srf.zip
May 9, 2026 - Replication Data for: Lithosphere-asthenosphere interactions across the Indo-Burma subduction zone from Sp receiver functions
ZIP Archive - 100.6 MB - MD5: 9b02ffb838464458331021c0cf164bbe
WANG Benquan(Nanyang Technological University)
May 7, 2026
Research topics: • AI for Photonics • Scientific Deep Learning • Optical Super-resolution Imaging • Optical Metrology • Topological AI • Structured Light
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