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Connection

David Hoaglin to Bias

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

0.594
  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: 0.203
  2. Dong G, Huang B, Wang D, Verbeeck J, Wang J, Hoaglin DC. Adjusting win statistics for dependent censoring. Pharm Stat. 2021 05; 20(3):440-450.
    View in: PubMed
    Score: 0.169
  3. Dong G, Mao L, Huang B, Gamalo-Siebers M, Wang J, Yu G, Hoaglin DC. The inverse-probability-of-censoring weighting (IPCW) adjusted win ratio statistic: an unbiased estimator in the presence of independent censoring. J Biopharm Stat. 2020 09 02; 30(5):882-899.
    View in: PubMed
    Score: 0.164
  4. Frankel MR, Srinath KP, Hoaglin DC, Battaglia MP, Smith PJ, Wright RA, Khare M. Adjustments for non-telephone bias in random-digit-dialling surveys. Stat Med. 2003 May 15; 22(9):1611-26.
    View in: PubMed
    Score: 0.050
  5. Berkey CS, Hoaglin DC, Mosteller F, Colditz GA. A random-effects regression model for meta-analysis. Stat Med. 1995 Feb 28; 14(4):395-411.
    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.