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11 to 20 of 7,871 Results
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
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
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
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
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
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
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