Unexplained residuals models are not solutions to statistical modeling of the fetal origins hypothesis

Journal of Clinical Epidemiology

Volumn 60, Issue 3, 2007, Pages 318-319

  Tu, Yu Kang ^a   Gilthorpe, Mark S ^a  

^a UNIVERSITY OF LEEDS   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BIRTH WEIGHT; BODY WEIGHT; EVALUATION; LETTER; PREDICTION; PRIORITY JOURNAL; STATISTICAL ANALYSIS; STATISTICAL MODEL; WEIGHT GAIN;

BIRTH WEIGHT; BLOOD PRESSURE; BODY WEIGHT; DISEASE PROGRESSION; HUMANS; MODELS, BIOLOGICAL; MODELS, STATISTICAL;

EID: 33846818538     PISSN: 08954356     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jclinepi.2006.07.004     Document Type: Letter

References (5)

1. Keijzer-Veen M.G., Euser A.M., van Montfoort N., Dekker F.W., Vandenbroucke J.P., and van Houwelingen H.C. A regression model with unexplained residuals was preferred in the analysis of the fetal origins of adult diseases hypothesis. J Clin Epidemiol 58 (2005) 1320-1324
2. Tu Y.-K., West R.M., Ellison G.T.H., and Gilthorpe M.S. Why evidence of fetal origins of adult diseases can be statistical artifact: the reversal paradox examined for hypertension. Am J Epidemiol 161 (2005) 27-32
3. Lucas A., Fewtrell M.S., and Cole T.J. Fetal origins of adult disease-the hypothesis revisited. BMJ 319 (1999) 245-249
4. Wickens T.D. The geometry of multivariate statistic (1995), Lawrence Erlbaum Associates, Hillsdale, NJ
5. Tu Y.K., Ellison G.T.H., and Gilthorpe M.S. Revisiting four-model principle in fetal origins hypothesis. [abstract]. Pediatr Res 58 (2005) 1013