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Connection

Kate Lapane to Models, Statistical

This is a "connection" page, showing publications Kate Lapane has written about Models, Statistical.
Connection Strength

1.767
  1. Liu SH, Chrysanthopoulou SA, Chang Q, Hunnicutt JN, Lapane KL. Missing Data in Marginal Structural Models: A Plasmode Simulation Study Comparing Multiple Imputation and Inverse Probability Weighting. Med Care. 2019 03; 57(3):237-243.
    View in: PubMed
    Score: 0.586
  2. Liu SH, Ulbricht CM, Chrysanthopoulou SA, Lapane KL. Implementation and reporting of causal mediation analysis in 2015: a systematic review in epidemiological studies. BMC Res Notes. 2016 Jul 20; 9:354.
    View in: PubMed
    Score: 0.489
  3. Yang S, Eaton CB, Lu J, Lapane KL. Application of marginal structural models in pharmacoepidemiologic studies: a systematic review. Pharmacoepidemiol Drug Saf. 2014 Jun; 23(6):560-71.
    View in: PubMed
    Score: 0.411
  4. Ulbricht CM, Rothschild AJ, Lapane KL. The association between latent depression subtypes and remission after treatment with citalopram: A latent class analysis with distal outcome. J Affect Disord. 2015 Dec 01; 188:270-7.
    View in: PubMed
    Score: 0.115
  5. Mezuk B, Lohman M, Dumenci L, Lapane KL. Are depression and frailty overlapping syndromes in mid- and late-life? A latent variable analysis. Am J Geriatr Psychiatry. 2013 Jun; 21(6):560-9.
    View in: PubMed
    Score: 0.096
  6. Weitzen S, Lapane KL, Toledano AY, Hume AL, Mor V. Weaknesses of goodness-of-fit tests for evaluating propensity score models: the case of the omitted confounder. Pharmacoepidemiol Drug Saf. 2005 Apr; 14(4):227-38.
    View in: PubMed
    Score: 0.056
  7. Weitzen S, Lapane KL, Toledano AY, Hume AL, Mor V. Principles for modeling propensity scores in medical research: a systematic literature review. Pharmacoepidemiol Drug Saf. 2004 Dec; 13(12):841-53.
    View in: PubMed
    Score: 0.014
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.