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Connection

David Hoaglin to Regression Analysis

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

0.326
  1. Hoaglin DC. Shortcomings of an approximate confidence interval for moment-based estimators of the between-study variance in random-effects meta-analysis. Res Synth Methods. 2016 Dec; 7(4):459-461.
    View in: PubMed
    Score: 0.119
  2. Hoaglin DC. A brief introduction to influence diagnostics in regression. Int J Technol Assess Health Care. 1991; 7(2):227-34.
    View in: PubMed
    Score: 0.082
  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: 0.036
  4. Berkey CS, Anderson JJ, Hoaglin DC. Multiple-outcome meta-analysis of clinical trials. Stat Med. 1996 Mar 15; 15(5):537-57.
    View in: PubMed
    Score: 0.029
  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: 0.027
  6. Trikalinos TA, Hoaglin DC, Small KM, Terrin N, Schmid CH. Methods for the joint meta-analysis of multiple tests. Res Synth Methods. 2014 Dec; 5(4):294-312.
    View in: PubMed
    Score: 0.026
  7. 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
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.