BIOSTAT 205 - Applied Biostatistical Methods Ii

Institution:

Duke University

Subject:

BIOSTATISTICS

Description:

This course provides an introduction to study design, descriptive statistics, an analysis of statistical models with continuous, dichotomous and survival outcomes, with one or more predictor variables. Topics include mixed effects models, likelihood and Bayesian estimation, generalized linear models (GLM) including binary, multinomial and log-linear models, basic models for survival analysis and regression models for censored survival data, clustered data, and model assessment, validation and prediction. Both parametric and non-parametric techniques are explored. Core concepts are mastered through team-based case study and analysis of authentic research problems encountered by program faculty and demonstrated in practicum experiences in concert with BIOSTAT 206. Computational exercises use the R and SAS packages. Prerequisite: BIOSTAT 202 or its equivalent. Corequisites: BIOSTAT 204, BIOSTAT 206 Credit: 3

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

WWW.DUKE.EDU

Phone Number:

(919) 684-8111

Regional Accreditation:

Southern Association of Colleges and Schools

Calendar System:

Semester

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