#219 fix more broken links

pharmaverse · Dec 17, 2023 · 1438e34 · 1438e34
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diff --git a/vignettes/adbcva.Rmd b/vignettes/adbcva.Rmd
@@ -18,7 +18,7 @@ library(admiraldev)
 
 # Introduction
 
-This article describes creating an ADBCVA ADaM with Best-Corrected Visual Acuity (BCVA) data for ophthalmology endpoints. It is to be used in conjunction with the article on [creating a BDS dataset from SDTM](https://pharmaverse.github.io/admiral/cran-release/articles/bds_finding.html). As such, derivations and processes that are not specific to ADBCVA are absent, and the user is invited to consult the aforementioned article for guidance.
+This article describes creating an ADBCVA ADaM with Best-Corrected Visual Acuity (BCVA) data for ophthalmology endpoints. It is to be used in conjunction with the article on [creating a BDS dataset from SDTM](https://pharmaverse.github.io/admiral/articles/bds_finding.html). As such, derivations and processes that are not specific to ADBCVA are absent, and the user is invited to consult the aforementioned article for guidance.
 
 **Note**: *All examples assume CDISC SDTM and/or ADaM format as input unless
 otherwise specified.*

diff --git a/vignettes/adoe.Rmd b/vignettes/adoe.Rmd
@@ -18,7 +18,7 @@ library(admiraldev)
 
 # Introduction
 
-This article describes creating an ADOE ADaM with Ophthalmology Exam Analysis data for ophthalmology endpoints. It is to be used in conjunction with the article on [creating a BDS dataset from SDTM](https://pharmaverse.github.io/admiral/cran-release/articles/bds_finding.html). As such, derivations and processes that are not specific to ADOE are absent, and the user is invited to consult the aforementioned article for guidance.
+This article describes creating an ADOE ADaM with Ophthalmology Exam Analysis data for ophthalmology endpoints. It is to be used in conjunction with the article on [creating a BDS dataset from SDTM](https://pharmaverse.github.io/admiral/articles/bds_finding.html). As such, derivations and processes that are not specific to ADOE are absent, and the user is invited to consult the aforementioned article for guidance.
 
 As the current release of `{admiralophtha}` does not contain any functionality specific to ADOE, this article only showcases how to map parameters from OE in order to set up the basic structure of ADOE. For the following steps, the user is invited to consult the above-linked article on BDS datasets. This article will be updated for future releases to showcase and explain any `{admiralophtha}`-specific functionality.
 

diff --git a/vignettes/advfq.Rmd b/vignettes/advfq.Rmd
@@ -80,7 +80,7 @@ param_lookup <- tibble::tribble(
   "QBCSCORE", "QBCSCORE", "Composite Score", "NEI VFQ-25", "Averaged Result"
 )
 ```
-Now the ADVFQ dataset can be constructed, merging the filtered QS dataset with ADSL. This is necessary because treatment start date `TRTSDT` is a prerequisite for the derivation of variables such as Analysis Day `ADY` which can be programmed by following the article on [creating a BDS dataset from SDTM](https://pharmaverse.github.io/admiral/cran-release/articles/bds_finding.html).
+Now the ADVFQ dataset can be constructed, merging the filtered QS dataset with ADSL. This is necessary because treatment start date `TRTSDT` is a prerequisite for the derivation of variables such as Analysis Day `ADY` which can be programmed by following the article on [creating a BDS dataset from SDTM](https://pharmaverse.github.io/admiral/articles/bds_finding.html).
 ```{r, eval=FALSE}
 adsl_vars <- exprs(TRTSDT, TRTEDT, TRT01A, TRT01P)