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Instructor |
Dr James Hanley (and Guest Lecturers) |
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Objectives |
Acquisition of skills for statistical consultation.
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Format/
Content |
(1) Presentation of methodology commonly encountered in
statistical consulting.
- Overview of general and generalized linear models with
emphasis on the circumstances under which they should be used.
Random and mixed models. Model building and assessment of fit.
- Nonparametric methods.
- Sample size, statistical precision and power considerations.
- Overview of survival analysis.
- The design and analysis of clinical trials, and case control studies
- Longitudinal data analysis including repeated measures analysis.
(2) Practice in statistical consulting,
using simulated and real consultations with clients.
- Instruction and practic on: eliciting the nature of the statistical problem from the client;
suggesting an appropriate design (if data have not yet been collected),
recommending an analysis commensurate with client's requirements;
carrying out an analysis; interpreting the results for the
client; writing a coherent report.
- Mock consulting sessions (in class).
Attendance at consulting sessions conducted through
the McGill Statistical Consulting Service or by course instructor.
(Videotape of some of the sessions will be used in class for open discussion)
- Instruction on the preparation of the design/statistics sections
of grant proposals and manuscripts. Students will be expected to read
papers and proposals (already funded) and be prepared to discuss these
sections.
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Dates/
Time/
Place |
To be decided at Organizational Meeting to be held with Instructor on Wednesday,
September 6, 2000 at 10:30 a.m. in Burnside Hall, Room 1205. |
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Assessment |
Based on participation, assignments, projects and reports. |
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Restrictions |
Enrolment limited to 15 students [password controlled] |
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Prerequisites |
189-423 (Regression and Analysis of Variance) or 513-697 (Applied Linear Models);
189-523 (Generalized Linear Models); and
189-556 and 557 (Mathematical Statistics I and II);
or permission of instructor. |
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No. of Credits |
4 [note that course runs over 2 semesters] |