The graft versus leukemia effect after bone marrow transplantation: a case study using structural nested failure time models.
Over the last decade, J. M. Robins has developed a set of tools for assessing, from observational data, the causal effects of a time-dependent treatment or exposure in the presence of time-dependent covariates that may be simultaneously confounders and intermediate variables. This report concerns a case study of the application of one these techniques, G-estimation using structural nested failure time models, to the problem of assessing the effect of graft versus host disease on leukemia relapse after bone marrow transplantation.
Keiding
N
N
Department of Biostatistics, University of Copenhagen. N.Keiding@biostat.ku.dk
Filiberti
M
M
Esbjerg
S
S
Robins
J M
JM
Jacobsen
N
N
D001699:Biometry; D016026:Bone Marrow Transplantation; D020544:Graft vs Leukemia Effect; D006801:Humans; D007938:Leukemia / Q000628:therapy; D015233:Models, Statistical; D011379:Prognosis; D013997:Time Factors