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table of contents Table of contents Preface 1 Introduction 2 Prerequisites I. BASIC 3 Descriptive …

We develop a unified theory of designs for controlled experiments that balance baseline
covariates a priori (before treatment and before randomization) using the framework of …

We consider the problem of AB testing when the impact of the treatment is marred by a large
number of covariates. Randomization can be highly inefficient in such settings, and thus we …

The seminal work of considers rerandomization for all the units at one time. In practice,
however, experimenters may have to rerandomize units sequentially. For example, a …

This paper studies treatment effect estimation in a novel two-stage model of
experimentation. In the first stage, using baseline covariates, the researcher selects units to …

We present a procedure that divides a set of experimental units into two groups that are
similar on a prespecified set of covariates and are almost as random as with a complete …

Background Self-care behaviors help reduce hemoglobin A1c (HbA1c) and prevent or delay
type 2 diabetes (T2D) complications. Individualized interventions that support goal setting …

The study of experimental design offers tremendous benefits for answering causal questions
across a wide range of applications, including agricultural experiments, clinical trials …

Results obtained from reliably designed randomized experiments are often considered to be
evidence of the highest grade for assessing the effectiveness of biomedical or behavioral …

In comparative studies, such as in causal inference and clinical trials, balancing important
covariates is often one of the most important concerns for both efficient and credible …