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Connection

Donald Hedeker to Antidepressive Agents

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

0.587
  1. Two propensity score-based strategies for a three-decade observational study: investigating psychotropic medications and suicide risk. Stat Med. 2012 Nov 30; 31(27):3255-60.
    View in: PubMed
    Score: 0.358
  2. A comparison of mixed-effects quantile stratification propensity adjustment strategies for longitudinal treatment effectiveness analyses of continuous outcomes. Stat Med. 2007 Jun 15; 26(13):2650-65.
    View in: PubMed
    Score: 0.063
  3. Failure of urinary MHPG levels to predict treatment response in patients with unipolar depression. Am J Psychiatry. 1986 Nov; 143(11):1398-402.
    View in: PubMed
    Score: 0.060
  4. A mixed-effects quintile-stratified propensity adjustment for effectiveness analyses of ordered categorical doses. Stat Med. 2005 Feb 28; 24(4):647-58.
    View in: PubMed
    Score: 0.053
  5. Performance of a propensity score adjustment in longitudinal studies with covariate-dependent representation. Stat Med. 2012 Sep 10; 31(20):2262-74.
    View in: PubMed
    Score: 0.022
  6. Bias reduction in effectiveness analyses of longitudinal ordinal doses with a mixed-effects propensity adjustment. Stat Med. 2007 Jan 15; 26(1):110-23.
    View in: PubMed
    Score: 0.015
  7. Some conceptual and statistical issues in analysis of longitudinal psychiatric data. Application to the NIMH treatment of Depression Collaborative Research Program dataset. Arch Gen Psychiatry. 1993 Sep; 50(9):739-50.
    View in: PubMed
    Score: 0.006
  8. A longitudinal study of plasma cortisol and depressive symptomatology by random regression analysis. Biol Psychiatry. 1992 Feb 01; 31(3):304-14.
    View in: PubMed
    Score: 0.005
  9. Regression toward the mean: more on the price of beer and the salaries of priests. Psychoneuroendocrinology. 1987; 12(3):185-92.
    View in: PubMed
    Score: 0.004
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.