More powerful cluster randomized control trials
More powerful cluster randomized control trials
Balanced experimental designs, in which the number of treatment and control units are the same, do not maximize power subject to a cost constraint when treat- ment units are more expensive than control ones. Despite this, such balanced designs are the norm in economics. This paper describes methods to optimally choose the number of treatment and control clusters, and the number of units within treatment and control clusters, allowing for full flexibility. We use three archetypal examples from the development literature to illustrate the magnitude of the power gains, which lie between 8.5 and 19 percentage points.
Mcconnell, Brendon
c513d7c3-60d0-4d1a-9a0c-8763e2aeb52a
Vera Hernandez, Marcos
343a3080-8d3c-4250-8e0b-fb3c62548c3c
14 June 2022
Mcconnell, Brendon
c513d7c3-60d0-4d1a-9a0c-8763e2aeb52a
Vera Hernandez, Marcos
343a3080-8d3c-4250-8e0b-fb3c62548c3c
Mcconnell, Brendon and Vera Hernandez, Marcos
(2022)
More powerful cluster randomized control trials
43pp.
Record type:
Monograph
(Working Paper)
Abstract
Balanced experimental designs, in which the number of treatment and control units are the same, do not maximize power subject to a cost constraint when treat- ment units are more expensive than control ones. Despite this, such balanced designs are the norm in economics. This paper describes methods to optimally choose the number of treatment and control clusters, and the number of units within treatment and control clusters, allowing for full flexibility. We use three archetypal examples from the development literature to illustrate the magnitude of the power gains, which lie between 8.5 and 19 percentage points.
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Published date: 14 June 2022
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Local EPrints ID: 474702
URI: http://eprints.soton.ac.uk/id/eprint/474702
PURE UUID: 0076659a-10d8-4c83-9b4a-6d7d0a61981f
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Date deposited: 01 Mar 2023 18:00
Last modified: 17 Mar 2024 00:29
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Author:
Marcos Vera Hernandez
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