
Coffee and research are best when they’re hot.
Welcome to Coffee and Research — a place to think, learn, and explore. This is a quiet corner where I keep my thoughts on statistics, causal inference, and clinical research.
Ideas — like good coffee — are best enjoyed while they are still warm.
R package cifmodeling
A toolkit for survival and competing risks analysis in R — a more technical side of my work.
- Kaplan-Meier and Aalen-Johansen estimation and visualization
- Direct polytomous regression of cumulative incidence functions
- Integration with ggsurvfit, modelsummary, and modern R workflows
A Conversation on Causality at Our Table — How I Learned Research from My Father
A series of short, warm stories about learning research, written in both English and Japanese. Through conversations between a father and daughter, the way researchers think unfolds naturally — from questions and assumptions to numbers and conclusions. All of it is shared freely, like something warm to drink in a hallway conversation at a conference, there whenever you need a quiet break.
- For readers who want to grasp the feel of research before opening a textbook
- Light, conversational chapters — each readable on its own, yet forming a larger story when read together
- From Study Design → Frequentist Thinking → Understanding Effects and Time → Adjusting for Bias → Causal Inference → Publication
Books and learning materials
Causal Inference for Medical Research I. Generalized Linear Models (in Japanese)
Causal Inference for Medical Research II. Rubin Causal Models (in Japanese)
Professor Giant Salamander’s Biostatistics Seminar: Paper Reading Level Up 30 (in Japanese)
Sample Sizes for Clinical, Laboratory and Epidemiology Studies (Japanese translation)
