Stat 4910/6250 SAS Programming

Department of Statistics and Biostatistics
California State University East Bay
Fall 2017

Prof. Suess

Course Descriptions Homework Important Dates Software
Syllabus Handouts Bay Cloud VCL Links

Week 11

Week 10

San Francisco Bay Area Chapter of American Statistical Association (SFASA)
2017 Annual Social Event with Career Development Panel Discussion

(co-sponsored by DahShu)
Thursday, December 7th, 6-8:30pm
(RSVP by Dec. 5th)

Please join us at 2017 SFASA annual social event with career development panel discussion on Thursday, December 7th.

Our panel, featuring distinguished statisticians and data scientists in academia, pharmaceutical, and high tech industries, will offer practical tips and guidance on making the right choice for your career or taking your career path to the next level. They will answer any questions and clarify any confusion that you may have. (Huge thanks to our panelists!)

This event will also serve as a great opportunity for social networking among our members.


6:00 – 8:30 pm, Thursday, December 7th, 2017

UCSF Mission Hall: Global Health & Clinical Sciences Building
550 16th Street, Rooms 1401 & 1402, San Francisco, CA 94158
Nearest parking garage ($8/2hrs):
UCSF Mission Bay Campus – 1630 Third Street Garage
1630 3rd St., San Francisco, CA 94158
Visitors can also park on the street (9am–6pm, $1.25/hr)

Complimentary food and beverage will be served


Register online at:

Free to all current SFASA members

For non-members, you are welcome to join the chapter on site, and then enjoy this event at no additional cost. Regular annual membership fee is $9 and student annual membership fee is $3. Payment is accepted by cash (please have the exact amount) or check (payable to “SFASA” and please have a photo ID ready for this purpose).


Deepak Agarwal, VP Engineering and Head of Artificial Intelligence LinkedIn

Annette Molinaro, Associate Professor in Neurosurgery and Epidemiology and Biostatistics UCSF

Tara Maddala, Head of Biostatistics and Data Management GRAIL

Imola K Fodor, Deputy Global Head, Oncology Biostatistics HER Franchise Genentech/Roche

Brad Klingenberg, VP Data Science Stitch Fix

Jizhou Fu, Data Science Manager Uber

Anirban Deb, Data Science Manager Uber

Please visit registration website for panelist bios:

Kaiser Permanente Division of Reseach Programmer Training Program

Hello -

We are pleased to share this announcement of our 2018 Programmer Analyst training program at the Kaiser Permanente’s Division of Research (DOR) in Oakland, California. This program is designed to identify promising programmer analyst trainees and to provide them with skills and experience to begin careers as research programmer analysts.

Paid trainee positions, including benefits, are available to candidates who have recently completed a master’s degree program in Public Health, Epidemiology, Biostatistics, Statistics or related fields. Positions begin with a 6 month training period and follow with an option for successful trainees to continue their role at the end of their training program. We plan for the trainees to start work at the Division of Research in June 2018.

The goals of this program include: 1) Developing trainees’ skills in programming and analysis techniques for research projects, 2) Providing opportunities for trainees to contribute to epidemiologic and health research studies and 3) Helping successful trainees prepare for related careers at the DOR and Kaiser Permanente.

Attached is a flyer with more information about the program, the Division of Research, and an application form with instructions. We will accept applications starting now through January 14, 2018 for the July - December 2018 program.

More information about the Division of Research is also available at
(See attached file: 2018 Kaiser Permanente Programmer Analyst Training App.pdf)

Week 9

Week 8

Week 7

Week 6

Week 5

Week 4

Week 3

Week 2

Week 1

CSUEB Library

Bay Area SAS User Group

SAS Global Forum 2018


SAS documentation

SAS Certification



Where do people talk about SAS online?

Where to find a job doing SAS?

Week 0

Hello everyone,

All of the data files for the book are online. The website is mentioned on page 4 of the book.

Down the page there is a link to the Example Code and Data. You you will need to create a SAS login and download the current examples and data files.


Using the old link you can download the instructions.

In that document is the link to the datafiles and information about how to install the files. Here is the link.