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Connection

Donald Hedeker to Linear Models

This is a "connection" page, showing publications Donald Hedeker has written about Linear Models.
Connection Strength

0.826
  1. A Note on Ordinal Modeling of Smoking Rate Data. Nicotine Tob Res. 2026 Feb 24; 28(3):397-403.
    View in: PubMed
    Score: 0.219
  2. Centering categorical predictors in multilevel models: Best practices and interpretation. Psychol Methods. 2023 Jun; 28(3):613-630.
    View in: PubMed
    Score: 0.164
  3. Sigmoidal mixed models for longitudinal data. Stat Methods Med Res. 2018 03; 27(3):863-875.
    View in: PubMed
    Score: 0.111
  4. Bayesian mixed-effects location and scale models for multivariate longitudinal outcomes: an application to ecological momentary assessment data. Stat Med. 2015 Feb 20; 34(4):630-51.
    View in: PubMed
    Score: 0.100
  5. A three-level mixed-effects location scale model with an application to ecological momentary assessment data. Stat Med. 2012 Nov 20; 31(26):3192-210.
    View in: PubMed
    Score: 0.086
  6. A tractable method to account for high-dimensional nonignorable missing data in intensive longitudinal data. Stat Med. 2020 09 10; 39(20):2589-2605.
    View in: PubMed
    Score: 0.037
  7. Measuring the Impact of Nonignorable Missingness Using the R Package isni. Comput Methods Programs Biomed. 2018 Oct; 164:207-220.
    View in: PubMed
    Score: 0.032
  8. Associations Between Behavioral and Neural Correlates of Inhibitory Control and Amphetamine Reward Sensitivity. Neuropsychopharmacology. 2017 Aug; 42(9):1905-1913.
    View in: PubMed
    Score: 0.029
  9. Momentary negative moods and being with friends precede cigarette use among Korean American emerging adults. Nicotine Tob Res. 2014 Sep; 16(9):1248-54.
    View in: PubMed
    Score: 0.024
  10. Smoking antecedents: separating between- and within-person effects of tobacco dependence in a multiwave ecological momentary assessment investigation of adolescent smoking. Nicotine Tob Res. 2014 May; 16 Suppl 2:S119-26.
    View in: PubMed
    Score: 0.023
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.