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Connection

Julie Baldwin to Longitudinal Studies

This is a "connection" page, showing publications Julie Baldwin has written about Longitudinal Studies.
Connection Strength

0.184
  1. Xing D, Huang Y, Chen H, Zhu Y, Dagne GA, Baldwin J. Bayesian inference for two-part mixed-effects model using skew distributions, with application to longitudinal semicontinuous alcohol data. Stat Methods Med Res. 2017 Aug; 26(4):1838-1853.
    View in: PubMed
    Score: 0.107
  2. Kumar A, Roy I, Karmarkar AM, Erler KS, Rudolph JL, Baldwin JA, Rivera-Hernandez M. Shifting US Patterns of COVID-19 Mortality by Race and Ethnicity From June-December 2020. J Am Med Dir Assoc. 2021 05; 22(5):966-970.e3.
    View in: PubMed
    Score: 0.040
  3. Kumar A, Rivera-Hernandez M, Karmarkar AM, Chou LN, Kuo YF, Baldwin JA, Panagiotou OA, Burke RE, Ottenbacher KJ. Social and Health-Related Factors Associated with Enrollment in Medicare Advantage Plans in Older Adults. J Am Geriatr Soc. 2020 02; 68(2):313-320.
    View in: PubMed
    Score: 0.036
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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