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STAT337 - Biostatistics

Methods of data analysis useful in Biostatistics including analysis of variance and covariance and nested designs, multiple regression, logistic regression and log-linear models. The concepts will be motivated by problems in the life sciences. Applications to real data will be emphasized through the use of a computer package. Prerequisite: STAT 151 or SCI 151 and a 200-level Biological Science course. Note: This course may not be taken for credit if credit has already been obtained in STAT 252, 368 or 378.

Fall Term 2018

Lecture Sections

Fall Term 2018 - LEC A1 (63016)

MWF 13:00:00 - 13:50:00 (CAB 269)
Instructor: hkolacz@ualberta.ca - Profile

Lab Sections

Fall Term 2018 - LAB A2 (63018)

T 14:00:00 - 15:50:00 (CAB 345)
Instructor: pietrosa@ualberta.ca - Profile

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