Tatyana A. Shamliyan

Statistics and Probability · 2007–2013

A researcher in the Science corpus: 6 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tatyana A. Shamliyan trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. W. Viechtbauer
  2. Kenneth Rockwood
  3. Arnold Mitnitski
  4. Luigi Ferrucci
  5. Julian P. T. Higgins
  6. Qian-Li Xue
  7. J. Walston
  8. Xiaowei Song
  9. L. Fried
  10. Jack M. Guralnik

Papers from Tatyana A. Shamliyan's perspective

Ordered by how strongly the researchers Tatyana A. Shamliyan trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Frailty in older adults: evidence for a phenotype. (The journals of gerontology. Series A, Biological sciences and medical sciences)
  2. Untangling the concepts of disability, frailty, and comorbidity: implications for improved targeting and care. (The journals of gerontology. Series A, Biological sciences and medical sciences)
  3. Designing Randomized, Controlled Trials Aimed at Preventing or Delaying Functional Decline and Disability in Frail, Older Persons: A Consensus Report (Journal of The American Geriatrics Society)
  4. Phenotype of frailty: characterization in the women's health and aging studies. (The journals of gerontology. Series A, Biological sciences and medical sciences)
  5. Transitions between frailty states among community-living older persons. (Archives of Internal Medicine)
  6. Controlling the risk of spurious findings from meta‐regression (Statistics in Medicine)
  7. Development and validation of a prognostic index for 4-year mortality in older adults. (Journal of the American Medical Association (JAMA))
  8. Frailty, fitness and late-life mortality in relation to chronological and biological age (BMC Geriatrics)
  9. Outcome instruments to measure frailty: a systematic review. (Ageing Research Reviews)
  10. What to add to nothing? Use and avoidance of continuity corrections in meta-analysis of sparse data. (Statistics in Medicine)

Their papers