Campus Units

Statistics

Document Type

Conference Proceeding

Conference

28th Annual Conference on Applied Statistics in Agriculture

Publication Version

Published Version

Publication Date

2016

Journal or Book Title

2016 Conference on Applied Statistics in Agriculture Proceedings

First Page

23

Last Page

39

DOI

10.4148/2475-7772.1474

Conference Title

28th Annual Conference on Applied Statistics in Agriculture

Conference Date

May 1-3, 2016

City

Manhattan, Kansas

Abstract

Many studies include some form of blocking in the study design. Block effects are rarely of intrinsic interest; instead they are included in a model so that that model reflects the study design. I consider the question of how these block effects should be modeled: as fixed effects or as random effects. I discuss the consequences of the choice, including the recovery of inter-block information when available, give a simple example to illustrate the connection between recovery of inter-block information and pooling two estimators of a treatment effect, and give an example where fitting a model with random block effects can lead to the wrong answer. I suggest that block effects should be modeled as fixed effects unless there are compelling reasons to do otherwise.

Comments

This proceeding is from Dixon, P.M. Should blocks be fixed or random? 2016 Conference on Applied Statistics in Agriculture Proceedings, May 1-3, Manhattan Kansas. Kansas State University. doi: 10.4148/2475-7772.1474.

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Copyright Owner

The Author

Language

en

File Format

application/pdf

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