In the architecture of statistical reasoning, no structure is more foundational—or more often misunderstood—than experimental design. While regression analysis can uncover patterns and causal inference can suggest directionality, it is only through careful design that we gain the power to assert cause with confidence. This book, the fourth in the series, turns fully toward that power.

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Introduction

  • Mike Nguyen

摘要

In the architecture of statistical reasoning, no structure is more foundational—or more often misunderstood—than experimental design. While regression analysis can uncover patterns and causal inference can suggest directionality, it is only through careful design that we gain the power to assert cause with confidence. This book, the fourth in the series, turns fully toward that power.