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# 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.