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11 to 20 of 8,234 Results
Fig-4c-f.opju
May 24, 2026 - Ferron-driven Photoferroic Hysteresis in Van der Waals CuInP2S6
Unknown - 2.7 MB - MD5: 80d9925df8922236595e04dca283914d
Replication Data for: Disease progression based feature screening for ultrahigh-dimensional survival-associated biomarkers
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".
RCode_DPCRsimulation_MengXiang.R
May 12, 2026 - Replication Data for: Disease progression based feature screening for ultrahigh-dimensional survival-associated biomarkers
R Syntax - 7.0 KB - MD5: f0d7eb5a5c39f6d52021c4cf9dcd1233
Replication Data for: Analysis of Competing Risks Data with Covariates Subject to Detection Limits
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".
impute functions.R
May 12, 2026 - Replication Data for: Analysis of Competing Risks Data with Covariates Subject to Detection Limits
R Syntax - 26.7 KB - MD5: 49b7f8996c3cdd6eae9f5352d5e4df32
MI for data with two censored covariates update.R
May 12, 2026 - Replication Data for: Analysis of Competing Risks Data with Covariates Subject to Detection Limits
R Syntax - 2.2 KB - MD5: acd5236e52c6aef963d0d542bfe66771
readme.docx
May 12, 2026 - Replication Data for: Analysis of Competing Risks Data with Covariates Subject to Detection Limits
MS Word - 12.5 KB - MD5: c0f34a70b1ba736dd0a0da02c74742a4
Documentation
simulate data with two censored covariates.csv
May 12, 2026 - Replication Data for: Analysis of Competing Risks Data with Covariates Subject to Detection Limits
Comma Separated Values - 25.1 KB - MD5: c63398e92dd9008631286b4b9d93014c
Replication Data for: 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: 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".
Mcode_direct likelihood approach.m
May 12, 2026 - Replication Data for: Regression analysis of interval-censored competing risks data with missing causes of failure: a direct likelihood approach
MATLAB Source Code - 6.2 KB - MD5: 8b35e79205a9ab973da77bce7db1d767
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