On Estimating the Causal Effects of DNR Orders
Bibliographic Data
| ID | 9103731 |
|---|---|
| Authors | Martin W McIntosh, Martin McIntosh (Harvard University, corresponding author), Donald B Rubin (0000-0001-7127-9262, Harvard University) |
| Year | 1999 |
| Volume | 37 |
| Issue | 8 |
| Pages | 722-726 |
| Publication date | 1999-08-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Medical Care (JOURNAL) |
| Journal identifiers | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Publisher | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/00005650-199908000-00002 |
| PMID | 10448715 |
| OpenAlex | W2328237603 |
| Language | EN |
| Citations received | 2 |
| References cited | 12 |
Department of Biostatistics; University of Washington and Cancer Prevention; Research Program, Fred Hutchinson Cancer; Research Center; Seattle, Washington (McIntosh) Department of Statistics, Harvard University; Cambridge, Massachusetts (Rubin) Supported by National Cancer Institute grant NCI 5R01 CA63146-05 (Dr. McIntosh) and the National Science Foundation grant NSF SBR 9709359 (Dr. Rubin). Address correspondence to: Martin W. McIntosh, PhD, Fred Hutchinson Cancer Research Center, Cancer Prevention Research Program, 1100 Fairview Avenue, MP-804, P.O. Box 19024, Seattle, Washington, 98109-1024
Biostatistics · Library science · Public health · Advanced Causal Inference Techniques · Computer Science · Medicine · Nursing · Statistical Methods and Inference · Statistical Methods in Clinical Trials · Gerontology
Assignment to Treatment Group on the Basis of a Covariate
Formal mode of statistical inference for causal effects
Estimating Causal Effects from Large Data Sets Using Propensity Scores
Matching Using Estimated Propensity Scores
The central role of the propensity score in observational studies for causal effects
Increased Risk of Death in Patients With Do-Not-Resuscitate Orders
| Citations per year | 0.09 |
|---|---|
| Citation span | 2004 - 2006 (3) |
| Highly cited | No |