| Title |
Inconsistent Definitions for Intention-To-Treat in Relation to Missing Outcome Data: Systematic Review of the Methods Literature
|
|---|---|
| Published in |
PLOS ONE, November 2012
|
| DOI | 10.1371/journal.pone.0049163 |
| Pubmed ID | |
| Authors |
Mohamad Alshurafa, Matthias Briel, Elie A. Akl, Ted Haines, Paul Moayyedi, Stephen J. Gentles, Lorena Rios, Chau Tran, Neera Bhatnagar, Francois Lamontagne, Stephen D. Walter, Gordon H. Guyatt |
| Abstract |
Authors of randomized trial reports seem to hold a variety of views regarding the relationship between missing outcome data (MOD) and intention to treat (ITT). The objectives of this study were to systematically investigate how authors of methodology articles define ITT in the presence of MOD, how they recommend handling MOD under ITT, and to make a proposal for potential improvement in the definition and use of ITT in relation to MOD. |
X Demographics
The data shown below were collected from the profiles of 49 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 8% |
| Chile | 3 | 6% |
| United Kingdom | 3 | 6% |
| Australia | 3 | 6% |
| Japan | 3 | 6% |
| France | 2 | 4% |
| Spain | 2 | 4% |
| Canada | 2 | 4% |
| Peru | 2 | 4% |
| Other | 11 | 22% |
| Unknown | 14 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 33 | 67% |
| Scientists | 9 | 18% |
| Practitioners (doctors, other healthcare professionals) | 5 | 10% |
| Science communicators (journalists, bloggers, editors) | 2 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 1% |
| United States | 2 | 1% |
| Canada | 2 | 1% |
| France | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Greece | 1 | <1% |
| Peru | 1 | <1% |
| Unknown | 137 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 20% |
| Researcher | 27 | 18% |
| Student > Master | 23 | 16% |
| Professor | 12 | 8% |
| Other | 9 | 6% |
| Other | 25 | 17% |
| Unknown | 21 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 47 | 32% |
| Psychology | 14 | 10% |
| Nursing and Health Professions | 14 | 10% |
| Social Sciences | 10 | 7% |
| Agricultural and Biological Sciences | 8 | 5% |
| Other | 23 | 16% |
| Unknown | 31 | 21% |