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Biostat 245 Student Seminar

Biostat 245 Student Seminar. Winter 2006 Announcements Robert Weiss http://rem.ph.ucla.edu/~rob/ seminar/index.html. Wednesday Seminars . Two seminars first week  Wed Jan 11, 3:30 Nat Schenker, NCHS 23-105 

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Biostat 245 Student Seminar

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  1. Biostat 245 Student Seminar Winter 2006 Announcements Robert Weiss http://rem.ph.ucla.edu/~rob/ seminar/index.html

  2. Wednesday Seminars • Two seminars first week  • Wed Jan 11, 3:30 Nat Schenker, NCHS 23-105  • Thursday Jan 12 Don Rubin, Harvard, 4-5 in 53-105 (note change in room, time and day of week). • Correct time and room here. • Wednesday Coffee & Cookies in Biostat library. • Introduce yourself to speakers, faculty, students.

  3. Wednesday Seminars 2 • All Wednesdays in 23-105 • Rubin in 13-105 • Monday in 51-279 as usual • Currently 7 Wednesday talks. • Currently not on Jan 18, Feb 22, Mar 15 • Subject to change as always.

  4. Visitors for Students to meet with • Nat Schenker will talk informally to students about statistical careers.  Dr. Schenker has worked at the Census Bureau, NCHS and UCLA Biostat.  Biostat library, 11:00—11:50, Jan 11. • Steve Dahlberg of Amgen will talk to students informally before the seminar about careers at Amgen.  Mar 8, time TBA, place TBA.

  5. Attendance • Attendance is required.  Attendance will be taken, but for the most part this is on the honor system.  If you must miss a seminar, then you are required to make it up with another seminar.  • Send me the talk title, speaker and abstract, and a short paragraph (ie 4 sentences) about what you learned.  • You are required to attend one outside seminar this quarter.  It may be statistical or non-statistical.  Send me the talk title, speaker and author, and a paragraph about what you learned.  • Email me information about outside/makeup seminar. • Do it early in quarter. • If attending conference let me know.

  6. Why? • Broaden one’s horizons • Modern statistical language spoken in seminars, not in courses. • Course work is established (fully mined out) material, seminars present uncharted land. • Material presented not available from course work. • Be aware of what is going on in the field • Information about other departments, locations, universities. • Stretch required – not pre-digested – important. • Do I understand every seminar? No. • Get ideas for your own research • Possible dissertation topics; avoid already completed topics! • Solutions you need to problems you didn’t know you had! • Problems presented for which you may have a solution! • Shared experience – faculty and students.

  7. Why not? • Learn from • Content of speaker's talk • The discussion/questions asked • Presentation quality (both good and bad). • Networking: • Meet speakers including some famous statisticians • Build network of colleagues • Job contacts • Join the "invisible college“: personal connections can be as useful as what you know and what you do • Learn about • Range of activities in the statistics profession • Current trends in statistics • Potentially useful methods/models for collaborative work

  8. Talks around campus • A number of statistical job (Psych, Medicine, Biostat) talks going on. • Decide if you think the talks are good or bad and how you would do better • Statistics • Biomathematics • Human Genetics; Psychology; Sociology … • Epi, Health Services, CHS, Environment Health • CCH (Center for Community Health, UCLA Wilshire) • RAND • Business School

  9. Student Seminar • Monday 3 till finished. • Assign all discussants today • 50 minute seminar • 10 minute discussion • Attendance: same as regular seminar • If must miss, attend make up seminar

  10. Advice/Help/suggestions • Do not wait until the week before.  • Talks take a lot of time to write and practice.  • New to giving seminars? You may wish to talk to • me (Rob Weiss) • advisor • employer (statistical supervisor) • other faculty member • Talk about • a set of data analyses from work • a paper or two from the literature • your research

  11. Winter 2006 Biostatistics Seminars • Week 1 Wednesday Nathaniel Schenker • 23-105 January 11 National Center for Health Statistics Hyattsville, MD • Thursday Don Rubin • 53-105 January 12 Department of Statistics, Harvard • Week 2 NONE • Week 3 Wednesday Catherine Crespi • 23-105 January 25 Department of Biostatistics UCLA • Week 4 Wednesday Abdelmonem A. Afifi • 23-105February 1 Biostatistics UCLA • Week 5Wednesday Rajesh Nandy • 23-105 February 8 Psychology and Biostatistics UCLA • Week 6 Wednesday Yaming Yu • 23-105 February 15 Statistics, UCI • Week 7NONE • Week 8 Wednesday Greg Ridgeway • 23-105 March 1 RAND, Santa Monica, CA • Week 9 Wednesday Steve Dahlberg • 23-105 March 8 Clinical Development Biostatistics Oncology • Therapeutic Area Head, Amgen, Thousand Oaks, CA

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