To add to Claudia comments, I did the same analysis as Bob Muenchen in r4stats, but targeting epidemiology, which would be close (somehow) to biostatistics. See https://www.denishaine.ca/blog/popepi-rmd/. As a +, I also targeted very specific journals, like Statistics in Medicine and Statistical Methods in Medical Research.
Cheers, Denis *_____________________________________________Denis *Haine +1-514-572-7174 Le ven. 8 mars 2019 à 13:59, Claudia Beleites < [email protected]> a écrit : > Hi Bianca and everyone, > > > Am 07.03.19 um 14:03 schrieb Bianca Peterson: > > Good day everyone, > > Some of my colleagues are planning to develop a Biostatistics course to > bridge the gap between undergraduate and postgraduate students. They are > planning to develop their material on using SPSS, and I am trying to > convince them to rather use R/RStudio. They are reluctant to switch, > because (1) they have been using SPSS quite some time, (2) SPSS is "easier" > than R, and > > - r4stats has a post on popularity for several data analysis packages: > http://r4stats.com/articles/popularity/ > There are some graphs there that are very much in favor of R over SPSS. > - Of particular interest: Job offers asking for R vs. job offers asking > for SPSS > - a not-very-up-to-date trend for publications. However, according to > that, SPSS had its peak in 2009 (with SPSS : R ratio somewhere around > 10:1). I did a quick comparison for 2018 using the search terms as > described in > http://r4stats.com/articles/how-to-search-for-data-science-articles/ and > the ratio is now about 3 : 2 (75000 SPSS vs. some 50000 for R) > > - Basically, I haven't had anything to do with SPSS, so I don't know how > easy this is in SPSS. But the point that gets most researchers and students > very interested in R is when I tell them about reproducible data analysis. > - knitr documents and not needing to copy and paste stuff over into Word > & Co and tediously checking for typos. > - with ease ("just") being sure that you can look up all details on > your data analysis if necessary. > - the possibilty to re-run without any need to worry whether your re-did > everything exactly as before. > > The reply ususally is that this is something they wish they'd known > before: these are points (i.e. the not-so-reproducible workflows) that > cause a lot of stress in real world academia. > > (3) they don't seem to think that funding might become a problem in future. > > > - I've been in a field where Matlab was (or still is?) the main data > analysis package. I've heard that as well. And I've seen people switching > to python or R in a rather abrupt fashion when that premise turned out to > be wrong. > - Even if their group doesn't run out of funding, the students are likely > to work in places where such considerations mean that there won't be SPSS > (nor Matlab) > > > > I came across the "Data Carpentry for Biologists" material in the discuss > list http://datacarpentry.org/semester-biology/ and I'm looking for > something similar specifically for Biostatistics/Biomedical statistics. > > Any resources or referrals will be greatly appreciated! > > > I'd be happy to give a hand after mid of April :-) > I don't know of any online resource I can particularly recommend, but > depending on how similar your biomed stats are to my biomed stats I may be > able contribute "explanation story lines" on some topics. > > Best, > > Claudia > > > Kind regards, > Bianca > > Bianca Peterson, Ph.D. Environmental Sciences (Genetics) > Post-doctoral Research Fellow: Pharmaceutics > Potchefstroom Campus > North-West University > South Africa > 2531 > <https://twitter.com/BinxiePeterson?lang=en> [image: > https://www.linkedin.com/in/bianca-peterson-007b5b117/] > <https://www.linkedin.com/in/bianca-peterson-007b5b117/> [image: > https://github.com/BinxiePeterson] <https://github.com/BinxiePeterson> > > > -- > Claudia Beleites Chemometric Consulting > Södeler Weg 19 > 61200 Wölfersheim > Germany > > phone: +49 (15 23) 1 83 74 18 > e-mail: [email protected] > USt-ID: DE305606151 > > > *The Carpentries <https://carpentries.topicbox.com/latest>* / discuss / > see discussions <https://carpentries.topicbox.com/groups/discuss> + > participants <https://carpentries.topicbox.com/groups/discuss/members> + > delivery > options <https://carpentries.topicbox.com/groups/discuss/subscription> > Permalink > <https://carpentries.topicbox.com/groups/discuss/T7aec92fdeda8ec4b-M7356ed3ddf9ceacfcd4ed027> > ------------------------------------------ The Carpentries: discuss Permalink: https://carpentries.topicbox.com/groups/discuss/T7aec92fdeda8ec4b-M2d7c7cfa91c7eb10699116b8 Delivery options: https://carpentries.topicbox.com/groups/discuss/subscription
