Statistical Science for Medical Research
A rigorous, practical introduction to core concepts and methods in statistical planning, managing, and analyzing data, and interpreting and communicating biostatistical information. Seminar sessions: discuss readings, work through realistic examples using popular commercial software. Project sessions: individuals in small groups discuss their own examples and receive on-the-spot feedback, Topics: types of data and common distributions; database and statistical software; understanding and describing data with simple statistics and effective tables and graphics; statistical transforms (log, logit) and what they imply, basic inference tests, confidence intervals, and related sample-size analyses involving categorical data (analyzing proportions), ordinal data (analyzing ranks), continuous data (analyzing means), and time-to-event data with censoring. A substantial introduction to statistical modeling unifies seemingly diverse methods to induce a cohesive, flexible, and broad understanding of biostatistics. Medical students enrolled in CRSP must complete CCLCM Introduction to Clinical Research, IBIS 431 and IBIS 490 to satisfy the CRSP 401 , 402 and 403 series. Prereq: Must be enrolled in School of Medicine.
Topics
- types of data and common distributions
- database and statistical software
- understanding and describing data with simple statistics and effective tables and graphics
- statistical transforms (log
- logit) and what they imply
- basic inference tests
- confidence intervals
- and related sample-size analyses involving categorical data (analyzing proportions)
- ordinal data (analyzing ranks)
- continuous data (analyzing means)
- and time-to-event data with censoring
Topics explicitly listed in official catalogue description
Sources
- Course catalogue ↗2026-2027