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Course Details

Spring 2018-2019
SOC 504   P/D/F Only

Advanced Social Statistics

Yu Xie

Introduces theories of inference underlying most statistical methods and how new approaches are developed. The first half of the course covers maximum likelihood estimation and generalized linear models. The second half covers a number of topics useful for applied work including missing data, matching for causal inference and, others. The course concludes with a project replicating and extending a piece of work in the scholarly literature.

Sample reading list:
See instructor for complete list

Reading/Writing assignments:
Weekly problem sets. Research paper at end of semester.

Other (See Instructor) - 100%

Other Requirements:
SOC Graduate Students Only.

Prerequisites and Restrictions:
Non-Sociology graduate students wishing to receive a grade for this course must submit a completed Graduate Student Enrollment Change Form located at the following URL:

Other information:
Open to sociology graduate students only. All others with permission of the instructor.

Schedule/Classroom assignment:

Class numberSectionTimeDaysRoomEnrollmentStatus
40027 S01 11:00:00 am - 12:20:00 pm M W   Wallace Hall   190   Enrolled:6 Limit:25
40028 B01 10:00:00 am - 11:50:00 am F   Wallace Hall   190   Enrolled:6 Limit:25