Improving the value and interpretation of observational studies comparing treatment effects of osteoporosis medications depends on standardized reporting of methods

Author:

Hayes Kaleen N12,Oganisian Arman3,Kiel Douglas P456ORCID

Affiliation:

1. Brown University School of Public Health Department of Health Services, Policy, and Practice, , Providence, RI 02903, United States

2. Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center , Providence, RI 02908, United States

3. Brown University School of Public Health Department of Biostatistics, , Providence, RI 02903, United States

4. Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife , Boston, MA 02131, United States

5. Harvard Medical School Department of Medicine, , Boston, MA 02115, United States

6. Beth Israel Deaconess Medical Center Department of Medicine, , Boston, MA 02115, United States

Funder

NIH Office of Disease Prevention

NIH Office of the Director

The National Institute on Aging

Publisher

Oxford University Press (OUP)

Reference18 articles.

1. Causal inference about the effects of interventions from observational studies in medical journals;Dahabreh;JAMA,2024

2. Comparative effectiveness and safety outcomes between denosumab and bisphosphonate in South Korea;Jeon;J Bone Miner Res

3. Comparative effectiveness of denosumab vs alendronate among postmenopausal women with osteoporosis;Curtis;J Bone Miner Res

4. Marginal structural models and causal inference in epidemiology;Robins;Epidemiology,2000

5. Doubly robust estimation of causal effects;Funk;Am J Epidemiol,2011

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