Zobrazeno 1 - 10
of 120
pro vyhledávání: '"Holder, Roger L"'
Autor:
Holder, Roger L., Nevill, Alan M.
Publikováno v:
Journal of the Royal Statistical Society. Series D (The Statistician), 1997 Jan 01. 46(4), 551-559.
Externí odkaz:
https://www.jstor.org/stable/2988604
Autor:
Begh, Rachna, Munafò, Marcus R., Shiffman, Saul, Ferguson, Stuart G., Nichols, Linda, Mohammed, Mohammed A., Holder, Roger L., Sutton, Stephen, Aveyard, Paul
Publikováno v:
In Drug and Alcohol Dependence 1 April 2015 149:158-165
Autor:
Vanderpump, Mark PJ, Lazarus, John H, Smyth, Peter P, Laurberg, Peter, Holder, Roger L, Boelaert, Kristien, Franklyn, Jayne A
Publikováno v:
In The Lancet 2011 377(9782):2007-2012
Autor:
Bertrand, Philip V., Holder, Roger L.
Publikováno v:
Journal of the Royal Statistical Society. Series D (The Statistician), 1988 Jan 01. 37(4/5), 371-374.
Externí odkaz:
https://www.jstor.org/stable/2348761
Autor:
Nevill, Alan M., Holder, Roger L.
Publikováno v:
Journal of the Royal Statistical Society. Series C (Applied Statistics), 1994 Jan 01. 43(4), 653-666.
Externí odkaz:
https://www.jstor.org/stable/2986263
Autor:
Osman, Faizel, Franklyn, Jayne A., Holder, Roger L., Sheppard, Michael C., Gammage, Michael D.
Publikováno v:
In Journal of the American College of Cardiology 2-9 January 2007 49(1):71-81
Publikováno v:
In Preventive Medicine 2007 44(5):377-385
Autor:
Osman, Faizel, Franklyn, Jayne A., Daykin, Jacqueline, Chowdhary, Saqib, Holder, Roger L., Sheppard, Michael C., Gammage, Michael D.
Publikováno v:
In The American Journal of Cardiology 2004 94(4):465-469
Publikováno v:
BMC Medical Research Methodology, Vol 10, Iss 1, p 112 (2010)
Abstract Background The appropriate handling of missing covariate data in prognostic modelling studies is yet to be conclusively determined. A resampling study was performed to investigate the effects of different missing data methods on the performa
Externí odkaz:
https://doaj.org/article/b6a56343d6224beebff97c9f7e65de1c
Publikováno v:
BMC Medical Research Methodology, Vol 10, Iss 1, p 7 (2010)
Abstract Background There is no consensus on the most appropriate approach to handle missing covariate data within prognostic modelling studies. Therefore a simulation study was performed to assess the effects of different missing data techniques on
Externí odkaz:
https://doaj.org/article/6c4f82cdd82e45d38a6085fce2b70dac