I had a really good time at PharmaSUG China 2013. The only thing was I had a really hard time attending the conference! For some reason I didn’t think I needed to have a visa to gain entry into Shanghai, and only found out after I reached Heathrow Airport. At first I was told that I would have to rebook the flight again in at least 4 days! I replied “the conference would be over by then though”.
After further enquiries I found out that I could go to Hong Kong and obtain a Chinese visa from there within “4 hours”. So I persevered on, and was on my way to Hong Kong, which was an amazing place and well worth the visit! Unfortunately instead of 4 hours for the visa I had to wait 24 hours in the end, and I’m very grateful for Leo Li, Margaret Hung and James Wu for rearranging the presentation I was giving from Friday 6 September 2013 to the day after.
Anyway back to my PharmaSUG China. There was a wealth of presentations available. The paper I presented on Creating High Quality Statistical Graphs for Publications seemed to be received quite well, and I had interesting discussions at question time, and right after my presentation too at Lunch time.
I left the conference really intrigued after hearing the last presentation at the conference which was a panel discussion. This entailed the likes of Art Carpenter, Eckhard Pecker, Eric Deng, Sy Truong, Tracey Turschman and Zibhao Zhang answering some really interesting industry topics. Such as how do they see the future for SAS Programmers, and what will SAS Programmers have to learn? This panel was moderated exceptionally well by Yanyun Shen, and the main things I picked up was that SAS Programmers in the pharmaceutical industry should be employable for a long while. There is so much data out there, and China especially has a younger marker than the West and therefore, more businesses are going to be coming to China. To be a proficient SAS Programmer we will need to be flexible and not just rely on “One Procedure” to see us through to retirement. We should be learning other procedures, and it is even better for us if we can learn how to program those “Push a button” macros. Furthermore it will be useful for us to learn other languages such as R and XML; More and more data is on the web.
Finally when the conference closed, I found out that I won a prize! A prize! This is the first time I have ever one a prize, and that means my conference fees for PharmaSUG China 2014 which will be held in Beijing, will be paid for!
Here is some GTL code to produce a Waterfall Plot for % Change in Tumor Size from baseline at Visit 2 coloured by group using SAS 9.2.
The figure below does not seem so advance at first howerver, there are a lot of things going on. Firstly the x-axis is ordered by decreasing % change from baseline. Secondly, the subjects are coloured by another variable (Group), and thirdly the percentage changes are shown on top of or below the bar charts. Enjoy!
Here is my Amazon Review on Statistical Graphics Procedures by Example: Effective Graphs Using SAS by Dan Heath and Sanjay Matange
If you’re anything like me, I have been keeping up with the advancements of SAS Graphics by Googling SAS Global Forum (SGF), SGPLOT, and Graphics etc. and beside either typing Sanjay Matange or Dan’s Heath name. As a consequence I’ve got lots of Dan’s and Sanjay’s SGF Paper as my favorites, and inevitably have become quite good at creating Graphics 🙂
This book is the end of storing multiple graphical favorites, searching the internet for help, and wondering how to plot good quality graphs with ease! This book is mostly for SAS 9.2 users and goes through the basics of the “new” SG Procedures step by step really well. It shows you how to create nice single cell plots, and describes plot types that can be overlaid and go together, such as a scatterplot and a regression line. It also shows you how to produce paneled plots (multiple plots on one page) which is a well sought after plot, amongst other things. This book touches on the new graphical options in SAS 9.3 and touches on the more advanced techniques, such as attribute maps, which is a really neat way to plot grouped data exactly how you want it, regardless of any missing groups.
I liked that there were specific plot templates based on the business you were in. I found the Health and Life Sciences Chapter really helpful, which showed how to create Forest plots with Summary Statistics and Adverse Events Timeline graphs. Towards the end of the book it gave details on the graph image types that were available, and the pros on cons of each. This was great as it has been an increasing subject of interest.
The only downsides of this book is I would have liked it to also have talked about the DISCRETEOFFSET option in terms of Jittering plots at the lowest level (such as Subject ID) too, and talked more about SGRender and Graph Template Language (GTL). However with regards to talking more about GTL, this is based on the knowledge I know the authors have on the subject and I can imagine the difficulty in actually incorporating GTL as it is a huge subject and there is a steeper learning curve than learning SGPLOT, SGPANEL and SGSCATTER which this book is focused on too.
I recommend this book for anyone that wants to learn the basics and foundations of producing, nice publication ready graphics easily in SAS 9.2 or 9.3 or for any other intermediate or advanced graphical user that would like to sharpen their graphical skills.