Learning from data: Semiparametric models versus faith-based inference

Epidemiology

Volumn 21, Issue 4, 2010, Pages 479-481

  Van Der Laan, Mark ^a   Hubbard, Alan E ^a   Jewell, Nicholas ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA ANALYSIS; PARAMETRIC TEST; PRIORITY JOURNAL; SHORT SURVEY; STATISTICAL ANALYSIS; STATISTICAL MODEL;

EID: 77953952451     PISSN: 10443983     EISSN: None     Source Type: Journal    
DOI: 10.1097/EDE.0b013e3181e13328     Document Type: Short Survey

References (4)

1. Subramanian SV, O'Malley JA. Modeling neighborhood effects: the futility of comparing mixed and marginal approaches. Epidemiology. 2010;21:475-478.
2. Hubbard AE, Ahern J, Fleischer NL, et al. To GEE or not to GEE: comparing population average and mixed models for estimating the associations between neighborhood risk factors and health. Epidemiology. 2010;21:467-474.
3. Box GE. Robustness in the strategy of scientific model building. In: Launer RL, Wilkinson GN, eds. Robustness in Statistics. New York: Academic Press; 1979.
4. Ioannidis JP. Why most published research findings are false. PLoS Med. 2005;2:e124. doi:10.1371/journal.pmed. 0020124.