On the semi-parametric efficiency of logistic regression under case-control sampling
Breslow,, Norman E. ; Robins, James M. ; Wellner, Jon A.
Bernoulli, Tome 6 (2000) no. 6, p. 447-455 / Harvested from Project Euclid
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Using modern theory for semi-parametric models, we provide details for an argument of Robins et al. showing efficiency of the standard logistic regression estimator applied to data from case-control studies. Our elaboration of this argument, and of a related one by Bickel et al., includes a constructive new proof of the result.
Publié le : 2000-06-14
Classification:  biased sampling,  epidemiology,  influence function 
@article{1081616700,
     author = {Breslow,, Norman E. and Robins, James M. and Wellner, Jon A.},
     title = {On the semi-parametric efficiency of logistic regression under case-control sampling},
     journal = {Bernoulli},
     volume = {6},
     number = {6},
     year = {2000},
     pages = { 447-455},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1081616700}
}

Breslow,, Norman E.; Robins, James M.; Wellner, Jon A. On the semi-parametric efficiency of logistic regression under case-control sampling. Bernoulli, Tome 6 (2000) no. 6, pp.  447-455. http://gdmltest.u-ga.fr/item/1081616700/