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Connection

John Rice to Models, Statistical

This is a "connection" page, showing publications John Rice has written about Models, Statistical.

 
Connection Strength
 
 
 
1.701
 
  1. Rice JD, Kempe A. Approximate maximum likelihood estimation in cure models using aggregated data, with application to HPV vaccine completion. Stat Med. 2024 Nov 10; 43(25):4872-4886.
    View in: PubMed
    Score: 0.672
  2. Rice JD, Johnson BA, Strawderman RL. Modeling the rate of HIV testing from repeated binary data amidst potential never-testers. Biostatistics. 2019 04 01; 20(2):183-198.
    View in: PubMed
    Score: 0.461
  3. Rice JD, Tsodikov A. Semiparametric profile likelihood estimation for continuous outcomes with excess zeros in a random-threshold damage-resistance model. Stat Med. 2017 05 30; 36(12):1924-1935.
    View in: PubMed
    Score: 0.398
  4. Estes JP, Rice JD, Li S, Stringham HM, Boehnke M, Mukherjee B. Meta-analysis of gene-environment interaction exploiting gene-environment independence across multiple case-control studies. Stat Med. 2017 Oct 30; 36(24):3895-3909.
    View in: PubMed
    Score: 0.103
  5. Sabel MS, Rice JD, Griffith KA, Lowe L, Wong SL, Chang AE, Johnson TM, Taylor JM. Validation of statistical predictive models meant to select melanoma patients for sentinel lymph node biopsy. Ann Surg Oncol. 2012 Jan; 19(1):287-93.
    View in: PubMed
    Score: 0.068
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.

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