Notes on Inference

Estimating unique users for genre combinations with latent class analysis
audience-modeling
mixture-models
statistics

Approximate the joint distribution of genre indicators with latent class analysis and estimate unique users for arbitrary genre combinations.

Sep 16, 2026

Modeling Ad Frequency Distributions with Finite Mixtures of Negative Binomials
audience-modeling
reach-frequency
statistics

Model heterogeneous ad exposure counts with a finite mixture of negative binomial distributions and derive reach curves from the fitted parameters.

Sep 9, 2026

Differential Attrition in Brand Lift: Diagnosing Selection Bias with Lee Bounds
brand-lift
statistics
causal-inference

Diagnose selection bias from differential survey response in Brand Lift studies using Lee bounds, with binary-outcome examples and reusable R code.

Aug 26, 2026

From Risk Ratios to Odds Ratios: Choosing an Aggregation Scale for Brand Lift
brand-lift
statistics
meta-analysis

Compare risk ratios and odds ratios across Brand Lift studies, derive the log-odds confidence interval, and pool campaign effects by inverse variance.

Aug 12, 2026

Fieller’s Confidence Interval for Risk Ratios: Removing the Taylor Approximation
brand-lift
statistics

Derive Fieller’s confidence interval for Brand Lift risk ratios, compare its coverage with delta and bootstrap methods, and implement it in R and BigQuery.

Jul 29, 2026

How Reliable Is the Delta Method CI? Bootstrap Validation and Sample Size Planning
brand-lift
statistics

Validate delta-method confidence intervals for Brand Lift risk ratios by simulation and bootstrap, then derive sample sizes for a target power.

Jul 15, 2026

Confidence Intervals for Brand Lift: The Delta Method on Risk Ratios
brand-lift
statistics

Derive a confidence interval for Brand Lift risk ratios with the log-scale delta method, including worked examples and production-ready R and BigQuery SQL.

Jul 1, 2026
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