Package: closeloop 0.1.0

Shubhram Pandey

closeloop: Integrate Single-Arm Observational Data in Network Meta Analysis

This package Calculates distance between single-arm observational studies by using co-variates information to remove heterogeneity in Network Meta-Analysis in Randomized clinical trials. This package will facilitate the inclusion of observational data in Network Meta ANalysis, thereby enhancing the comprehensiveness and robustness of comparative effectiveness research.The proposed R package will provide researchers with a powerful tool to systematically adjust for heterogeneity in single-arm observational studies, enabling their integration into NMAs. This will improve the accuracy and reliability of comparative effectiveness research, ultimately informing better healthcare decisions. Schmitz S et. al. The use of single armed observational data to closing the gap in otherwise disconnected evidence networks: a network meta-analysis in multiple myeloma. BMC Med Res Methodol. 2018 Jun 28;18(1):66. doi: 10.1186/s12874-018-0509-7. PMID: 29954322; PMCID: PMC6022299.

Authors:Supreet Kaur [ctb], Akanksha Sharma [ctb], Shubhram Pandey [aut, cre]

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closeloop.pdf |closeloop.html
closeloop/json (API)

# Install 'closeloop' in R:
install.packages('closeloop', repos = c('https://heorlytics.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/heorlytics/closeloop/issues

Datasets:

On CRAN:

4 exports 0.74 score 1 dependencies 209 downloads

Last updated 2 months agofrom:60485b7ec1. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 13 2024
R-4.5-winOKSep 13 2024
R-4.5-linuxOKSep 13 2024
R-4.4-winOKSep 13 2024
R-4.4-macOKSep 13 2024
R-4.3-winOKSep 13 2024
R-4.3-macOKSep 13 2024

Exports:calc_distcheck_datais_propspecify_weight

Dependencies:combinat

closeloop

Rendered fromcloseloop.Rmdusingknitr::rmarkdownon Sep 13 2024.

Last update: 2024-07-08
Started: 2024-07-08