| Title |
A review of statistical estimators for risk-adjusted length of stay: analysis of the Australian and new Zealand intensive care adult patient data-base, 2008–2009
|
|---|---|
| Published in |
BMC Medical Research Methodology, May 2012
|
| DOI | 10.1186/1471-2288-12-68 |
| Pubmed ID | |
| Authors |
John L Moran, Patricia J Solomon, the ANZICS Centre for Outcome and Resource Evaluation (CORE) of the Australian and New Zealand Intensive Care Society (ANZICS) |
| Abstract |
For the analysis of length-of-stay (LOS) data, which is characteristically right-skewed, a number of statistical estimators have been proposed as alternatives to the traditional ordinary least squares (OLS) regression with log dependent variable. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 75 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 18% |
| Researcher | 13 | 17% |
| Student > Master | 12 | 16% |
| Student > Bachelor | 5 | 6% |
| Student > Postgraduate | 5 | 6% |
| Other | 14 | 18% |
| Unknown | 14 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 33 | 43% |
| Computer Science | 6 | 8% |
| Decision Sciences | 4 | 5% |
| Engineering | 3 | 4% |
| Economics, Econometrics and Finance | 3 | 4% |
| Other | 11 | 14% |
| Unknown | 17 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 23 March 2022.
All research outputs
#13,809,323
of 23,400,864 outputs
Outputs from BMC Medical Research Methodology
#1,324
of 2,064 outputs
Outputs of similar age
#92,644
of 165,208 outputs
Outputs of similar age from BMC Medical Research Methodology
#18
of 34 outputs
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