Introducing the At-Risk Average Causal Effect with Application to HealthWise South Africa

Donna L. Coffman, Linda L. Caldwell, Edward A. Smith

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Researchers often hypothesize that a causal variable, whether randomly assigned or not, has an effect on an outcome behavior and that this effect may vary across levels of initial risk of engaging in the outcome behavior. In this paper, we propose a method for quantifying initial risk status. We then illustrate the use of this risk-status variable as a moderator of the causal effect of leisure boredom, a non-randomized continuous variable, on cigarette smoking initiation. The data come from the HealthWise South Africa study. We define the causal effects using marginal structural models and estimate the causal effects using inverse propensity weights. Indeed, we found leisure boredom had a differential causal effect on smoking initiation across different risk statuses. The proposed method may be useful for prevention scientists evaluating causal effects that may vary across levels of initial risk.

Original languageEnglish (US)
Pages (from-to)437-447
Number of pages11
JournalPrevention Science
Volume13
Issue number4
DOIs
StatePublished - Aug 1 2012

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South Africa
Boredom
Leisure Activities
Smoking
Structural Models
Research Personnel
Weights and Measures

All Science Journal Classification (ASJC) codes

  • Public Health, Environmental and Occupational Health

Cite this

Coffman, Donna L. ; Caldwell, Linda L. ; Smith, Edward A. / Introducing the At-Risk Average Causal Effect with Application to HealthWise South Africa. In: Prevention Science. 2012 ; Vol. 13, No. 4. pp. 437-447.
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Introducing the At-Risk Average Causal Effect with Application to HealthWise South Africa. / Coffman, Donna L.; Caldwell, Linda L.; Smith, Edward A.

In: Prevention Science, Vol. 13, No. 4, 01.08.2012, p. 437-447.

Research output: Contribution to journalArticle

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