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Connection

David Hoaglin to Sample Size

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

0.697
  1. Kulinskaya E, Hoaglin DC. Estimation of heterogeneity variance based on a generalized Q statistic in meta-analysis of log-odds-ratio. Res Synth Methods. 2023 Sep; 14(5):671-688.
    View in: PubMed
    Score: 0.210
  2. Kulinskaya E, Hoaglin DC. On the Q statistic with constant weights in meta-analysis of binary outcomes. BMC Med Res Methodol. 2023 06 21; 23(1):146.
    View in: PubMed
    Score: 0.209
  3. Bakbergenuly I, Hoaglin DC, Kulinskaya E. Estimation in meta-analyses of response ratios. BMC Med Res Methodol. 2020 10 22; 20(1):263.
    View in: PubMed
    Score: 0.174
  4. Kulinskaya E, Hoaglin DC, Bakbergenuly I, Newman J. A Q statistic with constant weights for assessing heterogeneity in meta-analysis. Res Synth Methods. 2021 Nov; 12(6):711-730.
    View in: PubMed
    Score: 0.046
  5. 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: 0.045
  6. Smith PJ, Hoaglin DC, Battaglia MP, Barker L. Implementation and applications of bootstrap methods for the National Immunization Survey. Stat Med. 2003 Aug 15; 22(15):2487-502.
    View in: PubMed
    Score: 0.013
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.