Each episode is meant for listening after the lesson. Sarah and Kiffer add perspective and critique, work through the questions students tend to find most difficult, and add further worked examples, including some that are harder than those in the lesson. Every page has the audio with a visual companion and captions, a summary, a list of chapters and a downloadable transcript.
Foundations & descriptive analysis
Lessons 01–02L · 01
A Structured Approach to Data AnalysisSarah and Kiffer work through adjustment sets, collider bias, missing-value codes, apparent overdispersion and cut-points, with extra worked examples for the lesson on structured data analysis.
Open podcast
L · 02
Data Cleaning & Descriptive AnalysesSarah and Kiffer work through outlier fences, missing-data mechanisms, compounding missingness, standardized differences in Table 1, and a debate about medians and means for health care costs.
Open podcast
Regression models
Lessons 03–04L · 03
Linear & Logistic RegressionSarah and Kiffer work through odds ratios, non-collapsibility, interaction terms, and calibration versus discrimination, then debate turning blood pressure into a yes-or-no outcome.
Open podcast
L · 04
Generalized Linear ModelsSarah and Kiffer work through odds ratios, relative risk ratios, offsets and overdispersion with new examples, and debate whether a five-point rating can be treated as a number.
Open podcast
Dependent data
Lesson 05Exploratory visualization
Lesson 06Measurement & path models
Lessons 07–08L · 07
Measurement and PsychometricsSarah and Kiffer test what alpha shows, correct correlations for unreliability, trace measurement precision along the trait, and debate how the De Jong Gierveld scale should be scored.
Open podcast
L · 08
Mediation, Moderation and Path AnalysisSarah and Kiffer discuss mediator-outcome confounding, centred interaction models, interaction scales, inconsistent mediation and equivalent path models, with worked examples and a debate on cross-sectional mediation.
Open podcast