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Shuntaro Sato

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Decks

Causal Survival Analysis(Causal inference: What if, Chapter 17)
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4.5k
Instrumental variable estimation(Causal inference: What if, Chapter 16)
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4.2k
Outcome regression and propensity scores (Causal inference: What if, Chapter 15)
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4.1k
G-estimation and Structural nested mean model(Causal inference: What if, Chapter 14)
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4.3k
Standardization and the parametric G-formula(Causal inference: What if, Chapter 13)
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4.6k
IP Weighting and Marginal Structural Models(Causal inference: What if, Chapter 12)
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4.5k
Effect modification(Causal inference: What if, Chapter 4)
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4.8k
Why model? (Causal inference: What if, Chapter 11)
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4.3k
Random variability (Causal inference: What if, Chapter 10)
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4.3k
Measurement bias (Causal inference: What if, Chapter 9)
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4.4k
Selection bias(Causal inference: What if, Chapter 8)
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4.3k
Confounding (Causal inference: What if, Chapter 7)
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4.3k
Interaction (Causal inference: What if, Chapter 5)
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4.4k
Observational studies (Causal inference: What if, Chapter 3)
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4.8k
Randomized experiments (Causal inference: What if, Chapter 2)
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4.7k
A Definition of causal effect (Causal inference: What if, Chapter 1)
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5k
Graphical representation of causal effects (Causal inference: What if, Chapter 6)
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4.8k
疫学のための確率の基礎
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6k

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