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Mendeley readers
| Title |
Supplementing claims data with outpatient laboratory test results to improve confounding adjustment in effectiveness studies of lipid-lowering treatments
|
|---|---|
| Published in |
BMC Medical Research Methodology, November 2012
|
| DOI | 10.1186/1471-2288-12-180 |
| Pubmed ID | |
| Authors |
Sebastian Schneeweiss, Jeremy A Rassen, Robert J Glynn, Jessica Myers, Gregory W Daniel, Joseph Singer, Daniel H Solomon, SeoYoung Kim, Kenneth J Rothman, Jun Liu, Jerry Avorn |
| Abstract |
Adjusting for laboratory test results may result in better confounding control when added to administrative claims data in the study of treatment effects. However, missing values can arise through several mechanisms. |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 8% |
| Netherlands | 1 | 4% |
| Unknown | 23 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 27% |
| Student > Ph. D. Student | 5 | 19% |
| Other | 4 | 15% |
| Professor > Associate Professor | 2 | 8% |
| Professor | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 4 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 50% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 8% |
| Social Sciences | 2 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Chemistry | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 7 | 27% |