colon_cancer: Meta-analysis: Real World Evidence in metastatic colorectal...
In jarbes: Just a Rather Bayesian Evidence Synthesis
colon_cancer R Documentation
Meta-analysis: Real World Evidence in metastatic colorectal cancer, comparing antiangiogenic treatments with chemotherapy
Description
Meta-analysis of 7 RCTs, 4 cRWE studies, and 2 matched sRWE studies evaluating
progression-free survival (PFS) as a surrogate endpoint to overall survival (OS)
in metastatic colorectal cancer (mCRC), comparing antiangiogenic treatments with chemotherapy.
Format
A dataframe with 13 rows and 6 columns. Each row represents study results, the columns are:
- study
Author and year.
- study_type
randomized clinical trial or comparative/single-arm real-world-evidence
- pfs
logarithm of hazard ratios of progression-free survival
- se_pfs
standard error of pfs
- os
logarithm of hazard ratios of overall survival
- se_os
standard error of os
Source
Wheaton L, Papanikos A, Thomas A, Bujkiewicz S. Using Bayesian Evidence Synthesis Methods to Incorporate Real-World Evidence in Surrogate Endpoint Evaluation. Medical Decision Making. 2023;43(5):539-552. doi:10.1177/0272989X231162852
jarbes documentation built on June 28, 2025, 1:07 a.m.
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| colon_cancer | R Documentation |
Meta-analysis: Real World Evidence in metastatic colorectal cancer, comparing antiangiogenic treatments with chemotherapy
Description
Meta-analysis of 7 RCTs, 4 cRWE studies, and 2 matched sRWE studies evaluating progression-free survival (PFS) as a surrogate endpoint to overall survival (OS) in metastatic colorectal cancer (mCRC), comparing antiangiogenic treatments with chemotherapy.
Format
A dataframe with 13 rows and 6 columns. Each row represents study results, the columns are:
- study
Author and year.
- study_type
randomized clinical trial or comparative/single-arm real-world-evidence
- pfs
logarithm of hazard ratios of progression-free survival
- se_pfs
standard error of pfs
- os
logarithm of hazard ratios of overall survival
- se_os
standard error of os
Source
Wheaton L, Papanikos A, Thomas A, Bujkiewicz S. Using Bayesian Evidence Synthesis Methods to Incorporate Real-World Evidence in Surrogate Endpoint Evaluation. Medical Decision Making. 2023;43(5):539-552. doi:10.1177/0272989X231162852
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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