Arts, Sciences, and Engineering Statistics
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-176827 STAT 218-1 Categorical Data Analysis Fall 2024 4.0 Closed
Schedule:
Day Begin End Location Start Date End Date
TR 1105 AM 1220 PM Hylan Building Room 202 08/26/2024 12/18/2024
Enrollment: Enrolled     
40 		Capacity     
40
Co-Located: STAT 218-1 (P), STAT 418-1
Instructors: Joseph Ciminelli
Delivery Mode: In-Person
Restrictions: Instructor Permission
Description: Co-located with STAT 418, STAT 218

Pre-requisites: STAT 180, STAT 190, STAT 212, STAT 213, or equivalent

This course offers an introduction to methods used for analyzing categorical data. The first portion of this course focuses on contingency table analyses. In particular, both two-way and three-way tables are introduced, along with inferential methods for determining significant associations between categorical responses. In the second portion of the course, emphasis is placed on regression models for categorical outcomes that are binary, polytomous, ordinal, or counts. Particular attention is given to logistic, probit, and log-linear models, along with associated inferential tests and model diagnostics. Examples and applications are taken from public health, epidemiology, and the behavioral and social sciences. R is introduced as the primary statistical software for performing data analyses.
Offered: Fall
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-153401 STAT 218-1 Categorical Data Analysis Fall 2023 4.0 Closed
Schedule:
Day Begin End Location Start Date End Date
TR 1105 AM 1220 PM Hylan Building Room 202 08/30/2023 12/22/2023
Enrollment: Enrolled     
39 		Capacity     
35
Co-Located: STAT 218-1 (P), STAT 418-1
Instructors: Joseph Ciminelli
Delivery Mode: In-Person
Description: Co-located with STT 418, STT 218

This course offers an introduction to methods used for analyzing categorical data. The first portion of this course focuses on contingency table analyses. In particular, both two-way and three-way tables are introduced, along with inferential methods for determining significant associations between categorical responses. In the second portion of the course, emphasis is placed on regression models for categorical outcomes that are binary, polytomous, ordinal, or counts. Particular attention is given to logistic, probit, and log-linear models, along with associated inferential tests and model diagnostics. Examples and applications are taken from public health, epidemiology, and the behavioral and social sciences. R is introduced as the primary statistical software for performing data analyses.
Offered: Fall
Course Section Listing Course Course Title Term Credits Status
COURSE_SECTION-3-135705 STAT 218-1 Categorical Data Analysis Fall 2022 4.0 - 0.0 Open
Schedule:
Day Begin End Location Start Date End Date
TR 1105 AM 1220 PM Hylan Building Room 202 08/31/2022 12/22/2022
Enrollment: Enrolled     
34 		Capacity     
35
Co-Located: STAT 218-1 (P), STAT 418-1
Instructors: Joseph Ciminelli
Description: Co-located with STT 418, STT 218

NOTE: waitlist requests can be sent to Professor Joseph Ciminelli at Joseph.ciminelli@rochester.edu

This course offers an introduction to methods used for analyzing categorical data. The first portion of this course focuses on contingency table analyses. In particular, both two-way and three-way tables are introduced, along with inferential methods for determining significant associations between categorical responses. In the second portion of the course, emphasis is placed on regression models for categorical outcomes that are binary, polytomous, ordinal, or counts. Particular attention is given to logistic, probit, and log-linear models, along with associated inferential tests and model diagnostics. Examples and applications are taken from public health, epidemiology, and the behavioral and social sciences. R is introduced as the primary statistical software for performing data analyses.
Offered: Fall