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Fall 2022 Statistics UN3105 section 001

Call Number 13788
Day & Time
TR 11:40am-12:55pm
702 Hamilton Hall
Points 3
Grading Mode Standard
Approvals Required None
Instructor David A Rios
Method of Instruction In-Person
Course Description Prerequisites: At least one, and preferably both, of STAT UN2103 and UN2104 are strongly recommended. Students without programming experience in R might find STAT UN2102 very helpful. This course is intended to give students practical experience with statistical methods beyond linear regression and categorical data analysis. The focus will be on understanding the uses and limitations of models, not the mathematical foundations for the methods. Topics that may be covered include random and mixed-effects models, classical non-parametric techniques, the statistical theory causality, sample survey design, multi-level models, generalized linear regression, generalized estimating equations and over-dispersion, survival analysis including the Kaplan-Meier estimator, log-rank statistics, and the Cox proportional hazards regression model. Power calculations and proposal and report writing will be discussed.
Web Site Vergil
Department Statistics
Enrollment 42 students (86 max) as of 5:33PM Monday, September 26, 2022
Subject Statistics
Number UN3105
Section 001
Division Interfaculty
Open To Barnard College, Columbia College, Engineering:Undergraduate, General Studies
Campus Morningside
Section key 20223STAT3105W001

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SIS update 09/26/22 17:33    web update 09/26/22 21:16