[Last updated: March 16th, 2018]

Biostatistics 201B

Winter 2018 - Dr. Catherine Sugar



Announcements


Contact Information

Dr. Catherine Sugar

Office: Room 51-236C CHS
Office hours: Monday 10:00-11:00, Friday 1:00-2:00 and by appointment.
Office phone: 310-794-1078
Email: csugar@ucla.edu
Alternate Office: Semel Institute (NPI) 37-457
TA Wendy Shih
Office: CHS A1-279 (Biostatistics Consulting Lab)
Office hours: Friday, 12:00-1:00.
Email: wshih3737@gmail.com

Course Times and Locations

Lecture: MWF 9:00-9:50 CHS 43-105A
Discussion: F 10:00-10:50 CHS 43-105A
Labs: Th 10:00-10:50 and F 11:00-11:50, CHS A1-241

Course Information and Handouts


Useful Reference Books

Below are some books and links which may be helpful for those who like to do extra reading about the material we are covering. I have indicated briefly which chapters correspond to the various course topics.
  • Primer of Applied Regression & Analysis of Variance, third edition, by Stanton Glantz and Bryan Slinker (McGraw-Hill, 2016) was the optional text for Biostatistics 201A. It has sections on some of this quarter's material including logistic regression (Chapter 12), survival analysis (Chapter 13) and repeated measures/mixed models (Chapter 10). We used the second edition of the text for a number of years so there may be copies of it available in the libraries as well (see Chapter 12 for logistic regression and survival and Chapter 9 for repeated measures models.)
  • Fundamentals of Biostatistics by Bernard Rosner (Thomson: Brooks/Cole, 6th edition, 2006) is the book often used for Biostatistics 100A/B. It has material on classical rank tests (Chapter 9) and a little bit on logistic regression (Chapter 13) and survival analysis (Chapter 14).
  • Hyperstat is a handy online introductory statistics text. Its Chapter 17, Distribution Free Tests, has some nice examples of classical non-parametrics and permutation tests.
  • An Introduction to the Bootstrap by Brad Efron and Robert Tibshirani (Chapman and Hall, 1993) is the classic reference for ideas related to the bootstrap. The material we will cover is in the first 6 chapters though I will skip a lot of the details.
  • An Introduction to Statistical Learning with Applications in R by James, Witten, Hastie and Tibshirani (Springer, 2013) is an accessible book on modern statistical methods and can be downloaded for free on line. Chapter 5 has material on the bootstrap and other resampling methods. There is also material on classical methods including linear regression (Chapter 3) and logistic regression (Chapter 4) as well as lots of other neat topics we won't have time to cover.
  • Applied Logistic Regression by David Hosmer and Stanley Lemeshow (Wiley, 2000) is a classic text by two of the people who were instrumental in developing a variety of logistic regression techniques. Some of the book is a little technical, however.
  • Practical Multivariate Analysis (5th edition; formerly Computer-Aided Multivariate Analysis) by Afifi, Clark and May (CRC Press, 2012) is a really nice book by our own former FSPH Dean Afifi from which I will draw a number of examples. Chapter 12 deals with standard logistic regression, multinomial and ordinal logistic regression and Poisson regression. Chapter 13 has material on survival analysis. If you want to learn some of the other fun topics that we won't get to you can always take Biostatistics 406!
  • Applied Longitudinal Analysis (2nd edition) by Fitzmaurice, Laird and Ware (Wiley, 2011) is a comprehensive book from an applied perspective by some of the leaders in this area of statistics.
  • Modeling Longitudinal Data by our own Rob Weiss (Springer, 2005) is a readable book and serves as the text for some of our courses on correlated data.
  • Survival Analysis: Techniques for Censored and Truncated Data (2nd edition) by Klein and Moeschberger (Springer, 2003) is a quite accessible book used in several of our courses on survival analysis.

Lectures

Scanned versions of my slides for the lectures will be posted here after each class session. You can also watch videos of the lectures here. The video for the review session is is supposed to be here although there was apparently a problem with the recording. Mediasite is trying to recover the file and I will update the site if they manage to do so. Meanwhile, see the written notes from the session below.

Homework and Lab Assignments

Homework assignments, solutions and supplemental materials will be posted here. Note that for the STATA and SAS versions of the data sets you may need to right click and select "save as" to download the files. Other file types should open automatically.

Exams and Projects

I have added a suggestions file for the final project and copies of several old final exams to this section. A study guide for the final and some additional practice problems will be posted shortly. Note that the "blank" copies of the exams are scanned so they include the graphics but the solutions do not.

Course Resources

  • UCLA Center for Accessible Education If you need academic accomodations (e.g. extra exam time) based on a disability please contact the CAE (formerly the Office for Students with Disabilities) by calling (310) 825-1501 or by going to Murphy Hall 225 and they will work with me to make the necessary arrangements.
  • Emergency Preparedness The UCLA Office of Emergency Management website has details on the University's emergency procedures, training programs, and resources, as well as links to download the UCLA Bruins Safe Mobile App and instructions for signing up for Bruin Alert. Our classroom will be equipped with a flip chart of procedures for our specific location in the CHS complex. Our designated assembly point is the North Tower, on the north sidewalk on Charles E. Young Drive South (in front of the Neuroscience Research Building and Parking Structure 9). If we need to evacuate the building during class time, we will exit together and proceed to that location. If the all clear is given more than 10 minutes prior to the end of class we will return to the lecture hall to discuss adjustments to the schedule; otherwise we will resume at the next planned lecture time and I will send any necessary updates via e-mail.
  • Adobe Acrobat Reader - If you don't have a copy of Adobe, click to download a free copy to your computer. You'll need it to read homeworks, labs and other handouts on this web site.
  • Software Access and Tutorials UCLA's Institute for Digital Research and Education (IDRE) provides really excellent statistical resources, including data analysis examples, annotated output, data sets from standard textbooks and information about accessing different software packages around campus. They also offer seminars and consulting services. In addition to the home page, you can find the specific links here for STATA and SAS
  • Using Stata and SAS Remotely CLiCC (College Library Instructional Computing Commons) has a system that lets you use many software packages, including Stata and SAS, remotely from any computer that has internet access. This should enable you to do the homework from home at 2 am if you want to. However it is not super easy to upload and download files using the software this way. Go to the site for more details or go directly to the Software Shortcut. You will need your standard UCLA login information to access the programs.
  • Purchasing STATA - You can also purchase a student edition of STATA directly from their web site at a discounted price. The basic STATA 15/IC version is fine for this class but if you are planning to use the program for other projects involving really large data sets there are additional options.
  • Access to TCL Lab Computers - If you are not a public health student but want to be able to work on your homework on the TLC lab computers in the Biomedical Library you can apply for an account using this form. Please let me know if there are any problems getting apllications accepted.
  • Tutor List (Coming Soon!) - Here I will post a list of biostatistics doctoral students interested in tutoring for 201B. You can contact them directly at the e-mail addresses in the file. I will update the list periodically as I get new information. The students will be listed in the order they responded to my query.
  • Rice Virtual Lab in Statistics - A collection of Java applets that demonstrate statistical concepts and techniques.
  • Hyperstat - Statistics.com provides a link to this hyptertext statistics text which includes some of topics discussed in the course.



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