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Connection

Thomas Jaenisch to Linear Models

This is a "connection" page, showing publications Thomas Jaenisch has written about Linear Models.

 
Connection Strength
 
 
 
0.219
 
  1. Pluss O, Campbell H, Pezzi L, Morales I, Roell Y, Quandelacy TM, Arora RK, Boucher E, Lamb MM, Chu M, B?rnighausen T, Jaenisch T. Limitations introduced by a low participation rate of SARS-CoV-2 seroprevalence data. Int J Epidemiol. 2023 02 08; 52(1):32-43.
    View in: PubMed
    Score: 0.179
  2. Campbell H, de Jong VMT, Maxwell L, Jaenisch T, Debray TPA, Gustafson P. Measurement error in meta-analysis (MEMA)-A Bayesian framework for continuous outcome data subject to non-differential measurement error. Res Synth Methods. 2021 Nov; 12(6):796-815.
    View in: PubMed
    Score: 0.040
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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