Zobrazeno 1 - 3
of 3
pro vyhledávání: '"S.W. Brühl"'
Autor:
F. van der Veen, N. Mahutte, A. Sanson, A. Pariente-Khayat, John McBain, Alex M.M. Wetzels, S. Phillips, Hananel Holzer, Karin Hammarberg, B.W.J. Mol, Jan A.M. Kremer, Robert I McLachlan, W.J Norton, J. Cleine, Carole Gilling-Smith, Jane Halliday, N.M. van den Boogaard, J. Gunby, Paula Almeida, Jan C.M. Hendriks, S.W. Brühl, Edgar Mocanu, Cate Wilson, Isaac Jacques Kadoch, H. Creusvaux, P.G.A. Hompes, F. Merlet, P.M.M. Kastrop, G. Emerson, G. Lemardeley, Willianne L.D.M. Nelen, Colin Hughes, J. Conard, M. H. J. M. Curfs, Bryan Woodward, Jane Fisher, Dimitri Consten, François Bissonnette, P. St-Michel
Publikováno v:
Human Reproduction. 26:i113-i116
Autor:
F. van der Veen, Jan A.M. Kremer, T. Tankens, Willianne L.D.M. Nelen, P.G.A. Hompes, S.W. Brühl, A.M. Musters, B.W.J. Mol, N.M. van den Boogaard
Publikováno v:
Human Reproduction, 27, 1050-7
Human Reproduction, 27(4), 1050-1057. Oxford University Press
Human reproduction (Oxford, England), 27(4), 1050-1057. Oxford University Press
Human Reproduction, 27, 4, pp. 1050-7
van den Boogaard, N M, Musters, A M, Bruhl, S W, Tankens, T, Kremer, J A M, Mol, B W J, Hompes, P G A, Nelen, W L D M & van der Veen, F 2012, ' Tailored expectant management: a nationwide survey to quantify patients and professionals barriers and facilitators ', Human Reproduction, vol. 27, no. 4, pp. 1050-1057 . https://doi.org/10.1093/humrep/des010
Human Reproduction, 27(4), 1050-1057. Oxford University Press
Human reproduction (Oxford, England), 27(4), 1050-1057. Oxford University Press
Human Reproduction, 27, 4, pp. 1050-7
van den Boogaard, N M, Musters, A M, Bruhl, S W, Tankens, T, Kremer, J A M, Mol, B W J, Hompes, P G A, Nelen, W L D M & van der Veen, F 2012, ' Tailored expectant management: a nationwide survey to quantify patients and professionals barriers and facilitators ', Human Reproduction, vol. 27, no. 4, pp. 1050-1057 . https://doi.org/10.1093/humrep/des010
Item does not contain fulltext BACKGROUND: Prognostic models for natural conception help to identify subfertile couples with high chances of natural conception, who do not need fertility treatment yet. The use of such models and subsequent tailored e
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