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STAT UN3105 Applied Statistical Methods. 3 points.

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.

Fall 2017: STAT UN3105
Course Number Section/Call Number Times/Location Instructor Points Enrollment
STAT 3105 001/67449 T Th 1:10pm - 2:25pm
703 Hamilton Hall
David Rios 3 21/50

Statistics

http://bulletin.columbia.edu/general-studies/undergraduates/majors-concentrations/statistics/

The Statistics Department Office: 1005 School of Social Work (1255 Amsterdam Avenue); 212-851-2132 http://www.stat.columbia.edu

Statistics

http://bulletin.columbia.edu/barnard-college/courses-instruction/statistics/

...courses, STAT UN2103 Applied Linear Regression Analysis , STAT UN2104 Applied Categorical Data Analysis , STAT UN3105...

Statistics

http://bulletin.columbia.edu/columbia-college/departments-instruction/statistics/

...courses, STAT UN2103 Applied Linear Regression Analysis , STAT UN2104 Applied Categorical Data Analysis , STAT UN3105...