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Advanced Categorical Data Analysis

Training Provider: NATIONAL UNIVERSITY OF SINGAPORE
Course Reference: TGS-2021006763
S$1,620
Original: S$5,400
Save S$3,780

About This Course

Categorical response data occur frequently in social and biomedical science, marketing and industrial quality control. This course introduces methods and theories for analysing categorical data, which can be used to identify risk factors of a disease, assess effectiveness of a treatment and evaluate strength of association between several factors. Students will learn to build, select and fit logit models to binary, binomial and multinomial responses, proportional odds model to ordinal responses and loglinear models to contingency tables. Further topics include generalised linear models, sampling schemes, case control and cohort studies, independence tests and overdispersion. Applications discussed include bioassay and epidemiology.

What You'll Learn

Analysis of categorical response data such as binary, binomial, multinomial and ordinal responses, and counts in contingency tables. Build logit, loglinear, multinomial logit and proportional odds models for fitting categorical response data and perform model comparison using likelihood-ratio tests. Analyze contingency tables using loglinear models and represent the conditional independence relationship using association graphs. This course is targeted at students who are interested in statistics and data science and are able to meet the pre-requisites.

Entry Requirements

B.Sc(Hons) in Statistics or related fields. For learners without honours degree, B.Sc in Statistics or related fields with working knowledge of Statistics is required.

Course Details

Duration 64 hours
Language English
Training Commitment Not specified
Total Enrolled 24 students
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