OPTIMAL STRATIFICATION IN RANDOMIZED EXPERIMENTS

OPTIMAL STRATIFICATION IN RANDOMIZED EXPERIMENTS. 3 rank inmates according to this prediction, and (3) match pairs by assigning the two ...

Optimal Stratification of Survey Experiments

To implement balanced sampling and assignment, we introduce a new family of finely stratified designs that generalize matched pairs randomization to ...

[PDF] OPTIMAL STRATIFICATION IN RANDOMIZED EXPERIMENTS

This paper shows that stratifying on the conditional expectation of the outcome given baseline variables is optimal in matched-pair randomized experiments.

online appendix: optimal stratification in randomized experiments

ONLINE APPENDIX: OPTIMAL STRATIFICATION IN RANDOMIZED EXPERIMENTS. 3. So. Var(Dk) = E(Yi(1)2) + E(Yi(0)2) b E(Y2kb1(1)Y2k(0)) b E(Y2k(1)Y2kb1(0)) b θ2. Now we ...

(How) Should I stratify when randomizing at the group level?

Stratification, especially when there aren't many units of randomization (such as group randomized experiments), eliminates the possibility that ...

Endogenous Stratification in Randomized Experiments

stratification”, study the related problem of biased sampling in randomized ... All in all, the repeated split sample estimator displays the best performance in ...

Stratification, block-randomization, etc - design

In multicentre trials, randomisation is often carried out using permuted blocks stratified by centre. It has previously been shown that ...

An Overview of Randomization Techniques for Clinical Trials - PMC

The stratified randomization method controls for the possible influence of covariates that would jeopardize the conclusions of the clinical trial. For example, ...

[2111.08157] Optimal Stratification of Survey Experiments - arXiv

We show that two-stage stratification nonparametrically dampens the variance of treatment effect estimation. We formulate and solve the optimal ...

Chapter 16 Stratification | Statistical Tools for Causal Inference

Stratification occurs when we are sampling units in the population of interest within some prespecified categories.

Stratified randomization for clinical trials - PubMed

Stratified randomization is important only for small trials in which treatment outcome may be affected by known clinical factors that have a large effect on ...

How many Stratification Factors is \Too Many" to Use in a ...

The relative placement of the expected imbalance between the best ... [6] Zelen M: The randomization and stratification of patients to clinical trials.

The Econometrics of Randomized Experiments

When there are observable differences in characteristics among units, questions arise about how best to design the experiment and how to account for imbalances ...

Optimality of Matched-Pair Designs in Randomized Controlled Trials

I show that among all stratified randomization schemes that treat all units with probability one half, a certain matched-pair design achieves the maximum ...

Optimal Stratification of Survey Experiments - IDEAS/RePEc

To implement balanced sampling and assignment, we introduce a new family of finely stratified designs that generalize matched pairs randomization to ...

A Primer on the Analysis of Randomized Experiments and a Survey ...

We first illustrate in Section 4.1 how stratification can improve the precision of the usual difference-in-means estimator of the average treatment effect by ...

Reporting and analysis of trials using stratified randomisation in ...

Objectives To assess how often stratified randomisation is used, whether analysis adjusted for all balancing variables, and whether the method ...

The Econometrics of Randomized Experiments - ScienceDirect.com

We show how this perspective relates to regression analyses for randomized experiments. We discuss the analyses of stratified, paired, and clustered randomized ...

Stratification Trees for Adaptive Randomization in ... - Penn Economics

Bai (2019) derives the MSE-optimal blocking of an experimental sample for the difference-in-means estimator, given a fixed assignment proportion, and shows that ...

Optimality of Matched-Pair Designs in Randomized Controlled Trials

Our results on optimal stratification formalizes the motivation for using stratified randomization by show- ing that minimizing the conditional ...