Abstract
Public health researchers are addressing new research questions (e.g., effects of environmental tobacco smoke, Hurricane Katrina) for which the randomized controlled trial (RCT) may not be a feasible option. Drawing on the potential outcomes framework (Rubin Causal Model) and Campbellian perspectives, we consider alternative research designs that permit relatively strong causal inferences. In randomized encouragement designs, participants are randomly invited to participate in one of the treatment conditions, but are allowed to decide whether to receive treatment. In quantitative assignment designs, treatment is assigned on the basis of a quantitative measure (e.g., need, merit, risk). In observational studies, treatment assignment is unknown and presumed to be nonrandom. Major threats to the validity of each design and statistical strategies for mitigating those threats are presented.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1359-1366 |
| Number of pages | 8 |
| Journal | American Journal of Public Health |
| Volume | 98 |
| Issue number | 8 |
| DOIs | |
| State | Published - Aug 1 2008 |
| Externally published | Yes |
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ASJC Scopus subject areas
- Public Health, Environmental and Occupational Health
Cite this
Alternatives to the randomized controlled trial. / West, Stephen G.; Duan, Naihua; Pequegnat, Willo; Gaist, Paul; Des Jarlais, Don C.; Holtgrave, David; Szapocznik, José; Fishbein, Martin; Rapkin, Bruce D.; Clatts, Michael; Mullen, Patricia Dolan.
In: American Journal of Public Health, Vol. 98, No. 8, 01.08.2008, p. 1359-1366.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Alternatives to the randomized controlled trial
AU - West, Stephen G.
AU - Duan, Naihua
AU - Pequegnat, Willo
AU - Gaist, Paul
AU - Des Jarlais, Don C.
AU - Holtgrave, David
AU - Szapocznik, José
AU - Fishbein, Martin
AU - Rapkin, Bruce D.
AU - Clatts, Michael
AU - Mullen, Patricia Dolan
PY - 2008/8/1
Y1 - 2008/8/1
N2 - Public health researchers are addressing new research questions (e.g., effects of environmental tobacco smoke, Hurricane Katrina) for which the randomized controlled trial (RCT) may not be a feasible option. Drawing on the potential outcomes framework (Rubin Causal Model) and Campbellian perspectives, we consider alternative research designs that permit relatively strong causal inferences. In randomized encouragement designs, participants are randomly invited to participate in one of the treatment conditions, but are allowed to decide whether to receive treatment. In quantitative assignment designs, treatment is assigned on the basis of a quantitative measure (e.g., need, merit, risk). In observational studies, treatment assignment is unknown and presumed to be nonrandom. Major threats to the validity of each design and statistical strategies for mitigating those threats are presented.
AB - Public health researchers are addressing new research questions (e.g., effects of environmental tobacco smoke, Hurricane Katrina) for which the randomized controlled trial (RCT) may not be a feasible option. Drawing on the potential outcomes framework (Rubin Causal Model) and Campbellian perspectives, we consider alternative research designs that permit relatively strong causal inferences. In randomized encouragement designs, participants are randomly invited to participate in one of the treatment conditions, but are allowed to decide whether to receive treatment. In quantitative assignment designs, treatment is assigned on the basis of a quantitative measure (e.g., need, merit, risk). In observational studies, treatment assignment is unknown and presumed to be nonrandom. Major threats to the validity of each design and statistical strategies for mitigating those threats are presented.
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UR - http://www.scopus.com/inward/citedby.url?scp=48749107496&partnerID=8YFLogxK
U2 - 10.2105/AJPH.2007.124446
DO - 10.2105/AJPH.2007.124446
M3 - Article
C2 - 18556609
AN - SCOPUS:48749107496
VL - 98
SP - 1359
EP - 1366
JO - American Journal of Public Health
JF - American Journal of Public Health
SN - 0090-0036
IS - 8
ER -