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Connection

David Hoaglin to Linear Models

This is a "connection" page, showing publications David Hoaglin has written about Linear Models.
Connection Strength

0.155
  1. Kulinskaya E, Hoaglin DC, Bakbergenuly I. Exploring consequences of simulation design for apparent performance of methods of meta-analysis. Stat Methods Med Res. 2021 07; 30(7):1667-1690.
    View in: PubMed
    Score: 0.042
  2. Bakbergenuly I, Hoaglin DC, Kulinskaya E. Methods for estimating between-study variance and overall effect in meta-analysis of odds ratios. Res Synth Methods. 2020 May; 11(3):426-442.
    View in: PubMed
    Score: 0.039
  3. Bakbergenuly I, Hoaglin DC, Kulinskaya E. Pitfalls of using the risk ratio in meta-analysis. Res Synth Methods. 2019 Sep; 10(3):398-419.
    View in: PubMed
    Score: 0.037
  4. Bozeman SR, Hoaglin DC, Burton TM, Pashos CL, Ben-Joseph RH, Hollenbeak CS. Predicting waist circumference from body mass index. BMC Med Res Methodol. 2012 Aug 03; 12:115.
    View in: PubMed
    Score: 0.023
  5. Berkey CS, Antczak-Bouckoms A, Hoaglin DC, Mosteller F, Pihlstrom BL. Multiple-outcomes meta-analysis of treatments for periodontal disease. J Dent Res. 1995 Apr; 74(4):1030-9.
    View in: PubMed
    Score: 0.007
  6. Schwartz CE, Ozminkowski RJ, Hoaglin DC, Cella M, Branch LG. Can a survey influence quality of care in nursing homes? The impact of the New York Quality Assurance System on resident deterioration and adverse outcomes. J Aging Health. 1994 Nov; 6(4):549-72.
    View in: PubMed
    Score: 0.007
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.