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Preface I An Introduction to Asymptotic Statistics 1 The Number Two 2 Fundamentals of Asymptotic Statistics 3 Statistical Inference 4 Maximum Likelihood Estimation (MLE) 5 Minimum Loss Estimation (MLE) II An Introduction to Causal Inference 6 Potential Outcomes 7 Study Designs 8 Estimand 9 Estimator 10 Sensitivity Analysis III An Introduction to Semiparametric Statistics 11 Regular and Asymptotically Linear Estimator 12 Efficient Influence Function 13 A Convenient Approach 14 Missing Data 15 Longitudinal Data IV An Introduction to Targeted Learning 16 Super Learning 17 Targeted Learning 18 Implementation 19 Intercurrent Events 20 Fusion of Two Cultures Bibliography Index |