1 / 10

MDSC 643.02 Biostatistics II

This course covers advanced biostatistical techniques for health studies, focusing on interpretation, computing, and regression models. Prerequisite knowledge in biostatistics required. Assignments emphasize Stata analyses and interpretation. Teaching assistants provide guidance and support. Course objectives include linking classical analyses to model-based approaches and using regression models effectively.

phampton
Download Presentation

MDSC 643.02 Biostatistics II

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. MDSC 643.02Biostatistics II Gordon Hilton Fick ghfick@ucalgary.ca www.ucalgary.ca/~ghfick 220-6939

  2. Teaching Assistants • Jian Kang: • Office hours and some large group sessions • Shelly Vik: • Marking and grading

  3. Stata • First: • Phone Stata Corporation: 800-248-8272 • Intercooled Stata 8 is recommended • Perpetual license is the best deal: US$134 • You want ‘Method 3 Grad Plan’ • Then: • Vicki Stagg will contact you • vlstagg@ucalgary.ca • 220-7265

  4. Appointments to see GHF • Crystal Elliott • elliottc@ucalgary.ca • 220-4288 • Monday afternoons are best • Other days and/or times are possible too

  5. Assignments • Interpretation most important • All Stata analyses must be explained • Define all terms in context • Use Equations editor to make symbols

  6. Prerequisite Course • MDSC 643.01: Biostatistics I • B+ or better • Within the past 3 years • See GHF if you have other preparation

  7. Prerequisite material Interpret accurately and completely: • boxplots, scatterplots, line plots, axes, units, titles • mean versus median: when? • data transformations • tests and confidence intervals • tables: FET versus tests • means: t-tests, analysis of variance • matched analysis

  8. Computing Background • Windows/Mac/Linux architecture • Website: links, left versus right clicks • Stata : Rabe-Hesketh & Everitt • : Chapters 1 & 2

  9. Projects • Grouped In pairs • Power Point presentations • To display biostatistical content • 10 minutes for each group

  10. Course Objectives • Health Studies: From idea, to design, to data collection, data analysis and interpretation • Linking classical analyses to model-based analyses • Using software: spreadsheet/database to statistical analysis • Linear regression and Logistic regression: choosing, assessing, interpreting • Introducing other regression models: conditional logistic, proportional hazards and others • Using models to assess potential confounders and/or modifiers

More Related