Update links

posts/2024-09-16_university_undergraduate_report/university_undergraduate_report.qmd

@@ -14,14 +14,11 @@ image: "pharmaverseadam.png"
 ```{r setup, include=FALSE}
 long_slug <- "2024-09-02_university_undergraduate_report"
 # renv::use(lockfile = "renv.lock")
+link::auto(keep_pkg_prefix = FALSE)
 ```
 
 <!--------------- post begins here ----------------->
 
-```{r, echo = FALSE}
-link::auto()
-```
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 As part of my placement year as a Data Sciences Industrial Placement student in Biostatistics at Roche in the UK, I was required to produce a "Business Project" and present it to the entire Data Sciences department. I decided to use [pharmaverseadam](https://pharmaverse.github.io/pharmaverseadam/index.html) to design a brand-new R training, "trainStats", for junior Biostatisticians, since the package includes realistic ADaM datasets that are ideal for statistical analyses. For maximum efficiency, I tied my business project with a quantitative project report, due August 2024, for my undergraduate degree in Mathematics, Operational Research and Statistics at Cardiff University. 
 
 The quantitative project report investigates statistical analyses on preliminary clinical trial data using the R Studio software as instructed by the trainStats program I have authored, to help ease new Biostatisticians in the industry. The software was built considering the needs of people who are new to the industry and are keen to pursue a career in Biostatistics.