Coffee and Research
  • Home
  • cifmodeling
  • A Conversation (EN)
    • Index
    • Study design
    • Frequentist Thinking
  • A Conversation (JP)
    • Index
    • Study Design
    • Frequentist Thinking
    • Frequentist Experiments
    • Effects and Time
  • 8 Elements (EN)
  • 8 Elements (JP)

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

Visit the R package cifmodeling site

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

Read in English / Read in Japanese

AI & R Workflows — How I Learned R from My Father

A companion series to A Conversation on Causality at Our Table. Through conversations and hands-on R, practical workflows unfold naturally—from data checks and Table 1 to curves, uncertainty, and study planning. Shared freely, like notes you’d want nearby when the coffee has gone cold.

  • Getting Started: AI-Assisted, Independently Validated Clinical Research Analyses (in Japanese)

  • R Demonstration of Bias in Kaplan-Meier Under Competing Risks (in Japanese)

  • Unadjusted vs Adjusted Cumulative Incidence Curves with AI & R (in Japanese)

Eight Elements of Causal Inference Preserved in Japanese

This is a short essay on Japanese language and kanji characters.

Read in English / Read in Japanese

Books and learning materials

  • Causal Inference for Medical Research I. Generalized Linear Models (in Japanese)

    Publisher site

  • Causal Inference for Medical Research II. Rubin Causal Models (in Japanese)

    Publisher site

    Learning materials for this series

  • Professor Giant Salamander’s Biostatistics Seminar: Paper Reading Level Up 30 (in Japanese)

    Publisher site

    Learning materials for this book

  • Sample Sizes for Clinical, Laboratory and Epidemiology Studies (Japanese translation)

    Publisher site

    Learning materials for this book

About the author—gestimation

Alongside developing methods and tools, I am interested in how statistical ideas are understood, interpreted, and used in practice — especially where methods, assumptions, and human judgment meet. This site collects some of my research, teaching materials, and essays, shared freely for anyone who finds them useful.

More information