Science Score: 36.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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✓DOI references
Found 12 DOI reference(s) in README -
○Academic publication links
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1 of 12 committers (8.3%) from academic institutions -
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○Scientific vocabulary similarity
Low similarity (11.2%) to scientific vocabulary
Keywords from Contributors
bayesian-inference
stan
bayesian-data-analysis
multilevel-mediation-models
brms
multilevel-models
statistical-models
rcpp
Last synced: 10 months ago
·
JSON representation
Repository
Basic Info
- Host: GitHub
- Owner: olssol
- Language: R
- Default Branch: master
- Size: 894 KB
Statistics
- Stars: 4
- Watchers: 4
- Forks: 6
- Open Issues: 0
- Releases: 0
Created almost 8 years ago
· Last pushed almost 2 years ago
Metadata Files
Readme
Changelog
README.Rmd
---
output: github_document
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# psrwe
High-quality real-world data can be transformed into scientific real-world
evidence (RWE) for regulatory and healthcare decision-making using proven
analytical methods and techniques. For example, propensity score (PS)
methodology can be applied to pre-select a subset of real-world data containing
patients that are similar to those in the current clinical study in terms of
covariates, and to stratify the selected patients together with those in the
current study into more homogeneous strata. Then, methods such as the power
prior approach or composite likelihood approach can be applied in each stratum
to draw inference for the parameters of interest. This package provides
functions that implement the PS-integrated RWE analysis methods proposed in
[Wang et al. (2019)](https://doi.org/10.1080/10543406.2019.1657133),
[Wang et al. (2020)](https://doi.org/10.1080/10543406.2019.1684309), and
[Chen et al. (2020)](https://doi.org/10.1080/10543406.2020.1730877).
## Installation
You can install the released version of `psrwe` from [CRAN](https://CRAN.R-project.org) with:
``` r
install.packages("psrwe")
```
And the development version from [GitHub](https://github.com/) with:
``` r
# install.packages("devtools")
devtools::install_github("olssol/psrwe")
```
## References
1. Wang C, Li H, Chen WC, Lu N, Tiwari R, Xu Y, Yue LQ. Propensity score-integrated power prior approach for incorporating real-world evidence in single-arm clinical studies. *Journal of Biopharmaceutical Statistics*, 2019; **29**, 731–748. https://doi.org/10.1080/10543406.2019.1657133.
2. Chen WC, Wang C, Li H, Lu N, Tiwari R, Xu Y, Yue LQ. (2020), Propensity score-integrated composite likelihood approach for augmenting the control arm of a randomized controlled trial by incorporating real-world data. *Journal of Biopharmaceutical Statistics*, 2020; **30**, 508–520. https://doi.org/10.1080/10543406.2020.1730877.
3. Wang C, Lu N, Chen WC, Li H, Tiwari R, Xu Y, Yue LQ. (2020), Propensity score-integrated composite likelihood approach for incorporating real-world evidence in single-arm clinical studies. *Journal of Biopharmaceutical Statistics*, 2020; **30**, 495–507. https://doi.org/10.1080/10543406.2019.1684309.
Owner
- Login: olssol
- Kind: user
- Repositories: 9
- Profile: https://github.com/olssol
GitHub Events
Total
Last Year
Committers
Last synced: over 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| snoweye | w****w@g****m | 269 |
| graemeleehickey | g****y@g****m | 28 |
| cwang68 | c****8@M****l | 14 |
| cwang68 | c****8@M****l | 10 |
| Chenguang Wang | c****7@g****m | 4 |
| snoweye | s****e | 3 |
| Andrew Johnson | a****n@a****m | 2 |
| Jonah Gabry | j****y@g****m | 2 |
| Andrew Johnson | a****n@p****u | 1 |
| bd-graeme-hickey | g****y@b****m | 1 |
| CG Wang | o****c@g****m | 1 |
| Chen | W****n@f****v | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: almost 3 years ago
All Time
- Total issues: 0
- Total pull requests: 23
- Average time to close issues: N/A
- Average time to close pull requests: 4 days
- Total issue authors: 0
- Total pull request authors: 4
- Average comments per issue: 0
- Average comments per pull request: 0.09
- Merged pull requests: 15
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 5
- Average time to close issues: N/A
- Average time to close pull requests: 6 minutes
- Issue authors: 0
- Pull request authors: 3
- Average comments per issue: 0
- Average comments per pull request: 0.2
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
- snoweye (21)
- andrjohns (2)
- jgabry (1)
- graemeleehickey (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- cran 183 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 4
- Total maintainers: 1
cran.r-project.org: psrwe
PS-Integrated Methods for Incorporating RWE in Clinical Studies
- Homepage: https://github.com/olssol/psrwe
- Documentation: http://cran.r-project.org/web/packages/psrwe/psrwe.pdf
- License: GPL (≥ 3)
- Status: removed
-
Latest release: 3.1
published over 4 years ago
Rankings
Forks count: 10.1%
Stargazers count: 28.5%
Dependent packages count: 29.8%
Average: 33.7%
Dependent repos count: 35.5%
Downloads: 64.8%
Maintainers (1)
Last synced:
almost 2 years ago
Dependencies
DESCRIPTION
cran
- R >= 4.0 depends
- Rcpp >= 1.0.5 depends
- methods * depends
- rstan >= 2.19.3 depends
- cowplot >= 1.0.0 imports
- dplyr >= 0.8.5 imports
- ggplot2 >= 3.3.2 imports
- parallel >= 3.2 imports
- randomForest >= 4.6 imports
- rstantools >= 2.1.1 imports
- survival * imports
- knitr * suggests
- rmarkdown * suggests