| Title |
Overestimating Outcome Rates: Statistical Estimation When Reliability Is Suboptimal
|
|---|---|
| Published in |
Health Services Research, November 2006
|
| DOI | 10.1111/j.1475-6773.2006.00661.x |
| Pubmed ID | |
| Authors |
Rodney A. Hayward, Michele Heisler, John Adams, R. Adams Dudley, Timothy P. Hofer |
| Abstract |
To demonstrate how failure to account for measurement error in an outcome (dependent) variable can lead to significant estimation errors and to illustrate ways to recognize and avoid these errors. |
X Demographics
The data shown below were collected from the profiles of 31 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 | 13 | 42% |
| United Kingdom | 5 | 16% |
| Ireland | 1 | 3% |
| Myanmar | 1 | 3% |
| Australia | 1 | 3% |
| India | 1 | 3% |
| Unknown | 9 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 55% |
| Scientists | 8 | 26% |
| Practitioners (doctors, other healthcare professionals) | 6 | 19% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 44 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 24% |
| Researcher | 8 | 18% |
| Student > Master | 4 | 9% |
| Professor | 4 | 9% |
| Student > Bachelor | 3 | 7% |
| Other | 10 | 22% |
| Unknown | 5 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 40% |
| Social Sciences | 4 | 9% |
| Business, Management and Accounting | 4 | 9% |
| Agricultural and Biological Sciences | 3 | 7% |
| Nursing and Health Professions | 1 | 2% |
| Other | 5 | 11% |
| Unknown | 10 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 February 2024.
All research outputs
#1,983,454
of 25,703,943 outputs
Outputs from Health Services Research
#486
of 2,531 outputs
Outputs of similar age
#3,829
of 86,960 outputs
Outputs of similar age from Health Services Research
#2
of 9 outputs
Altmetric has tracked 25,703,943 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,531 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.1. This one has done well, scoring higher than 80% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 86,960 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.