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Shuntaro Sato

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Decks

Time-varying treatment(Causal inference: What if, Chapter 19)

Treatment-Confounder feedback(Causal inference: What if, Chapter 20)

G-methods for time-varying treatments (Causal inference: What if, Chapter 21-1)

G-estimation for time-varying treatments(Causal inference: What if, Chapter 21-2)

Target trial emulation(Causal inference: What if, Chapter 22)

A Definition of causal effect (Causal inference: What if, Chapter 1)

Randomized experiments (Causal inference: What if, Chapter 2)

Observational studies (Causal inference: What if, Chapter 3)

Interaction (Causal inference: What if, Chapter 5)

Confounding (Causal inference: What if, Chapter 7)

Selection bias(Causal inference: What if, Chapter 8)

Measurement bias (Causal inference: What if, Chapter 9)

Random variability (Causal inference: What if, Chapter 10)

Why model? (Causal inference: What if, Chapter 11)

Graphical representation of causal effects (Causal inference: What if, Chapter 6)

疫学のための確率の基礎

医学統計学（基本）1：母集団と標本・推定

Genetic and Molecular Epidemiology (Modern epidemiology Chap. 28)

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