2017
DOI: 10.1016/j.jsp.2015.12.006
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Beyond intent to treat (ITT): A complier average causal effect (CACE) estimation primer

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Cited by 64 publications
(53 citation statements)
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“…In this study, 29 ITT farmers reported not receiving the text messages, raising the question of whether these should be regarded as non-compliers. In the standard language of RCTs, noncompliers refers to participants who did not consistently exhibit the behavior required by the treatment under examination (Peugh et al, 2017). Within this group, we were able to distinguish two types of farmers who did not receive the text messages: (1) non-compliers-non-recipients due to individual behavior; and (2) treatment non-recipients-non-recipients due to technical problems related to data systematization and verification errors.…”
Section: Resultsmentioning
confidence: 99%
“…In this study, 29 ITT farmers reported not receiving the text messages, raising the question of whether these should be regarded as non-compliers. In the standard language of RCTs, noncompliers refers to participants who did not consistently exhibit the behavior required by the treatment under examination (Peugh et al, 2017). Within this group, we were able to distinguish two types of farmers who did not receive the text messages: (1) non-compliers-non-recipients due to individual behavior; and (2) treatment non-recipients-non-recipients due to technical problems related to data systematization and verification errors.…”
Section: Resultsmentioning
confidence: 99%
“…We will use 95% confidence intervals (CIs) for continuous outcomes, and adjusted odds ratios with 95% CIs for binary outcomes. Additionally, intervention effects for students who receive fewer sessions than prescribed will be estimated using the Complier Average Causal Effect structural equation model [58]. Repeated-measures analysis will be used to analyze data from the two end-points (6 and 12 weeks).…”
Section: Methodsmentioning
confidence: 99%
“…We will use 95% confidence intervals (CIs) for continuous outcomes, and adjusted odds ratios with 95% CIs for binary outcomes. Additionally, intervention effects for students who receive fewer sessions than prescribed will be estimated using the Complier Average Causal Effect structural equation model (55). Repeated-measures analysis will be used to analyse data from the two end-points (6 and 12 weeks).…”
Section: Embedded Recruitment Trial the Baseline Characteristics Of mentioning
confidence: 99%