Associate Professor Sama Low-Choy
Presuming that you understand the purpose and The Meaning of Logistic regression (3 episodes: model, explainability, predictions), this series of 4 episodes walks you through the process of doing logistic regression. However, this is *not* a software-based training - we refer to the kinds of outputs that you may obtain from any statistical package and/or virtual laboratory that can conduct logistic regression (e.g. R, Stata, SPSS, Statistica, SAS, etc). In the context of logistic regression, we show the benefits of thinking about what you are doing, and conversely, the dangers of not thinking whilst doing.
Effects with Confidence: We clarify how to interpret the outputs from a classical (Frequentist) approach to statistical modelling, starting with confidence intervals, and also explain the intent of maximum likelihood. We highlight the care required to deal with the "logistic" part of logistic regression, with diagnostics.
Format: These 4 'Stat-a-along' walk through thinking whilst doing logistic regression.
Intended audience: Those with no experience in regression, wishing to walk through the process of doing logistic regression, whilst still thinking about the outputs and what they mean. Those with some conceptual understanding of what logistic regression means, wishing to go to the next level, and put this into practice.
Preparation: We strongly suggest that you revise the concept of a function and of logarithms, revising topics of high school mathematics, presented sometime during Grades 9-11, e.g. refer to the friendly You-tubes of Mr Wu, an Australian maths teacher who won national acclaim.