Dear all, I am glad to be part of the list. I am collaborating with academics in the States from the Harvard Medical School evaluating the performance (diagnosis accuracy) of a new biomarker for the diagnosis of Gestational Diabetes Mellitus. http://care.diabetesjournals.org/content/early/2017/04/05/dc16-2598 However, the gold standard is imperfect (Oral glucose tolerance test), and we cannot get correct estimates of the AUC for the new biomarker. Also, I thought about the evaluation of the performance in and independent sample size, which is not the standard case in medical studies, using cross-validation to adjust the value of the AUC https://github.com/migariane/cvAUROC However, I will be glad if any of you can refer to some seminal papers/references (in addition to the Pepe book) to illustrate how to implement the LCMATE analysis. Thank you in advance for your time and help. Kind regards,
Miguel Angel Luque Fernandez, PhD Assistant Professor of Epidemiology and Biostatistics London School of Hygiene and Tropical Medicine London, UK -----Original Message----- From: R-sig-Epi [mailto:r-sig-epi-boun...@r-project.org] On Behalf Of r-sig-epi-requ...@r-project.org Sent: 04 May 2017 11:00 To: r-sig-epi@r-project.org Subject: R-sig-Epi Digest, Vol 90, Issue 1 Send R-sig-Epi mailing list submissions to r-sig-epi@r-project.org To subscribe or unsubscribe via the World Wide Web, visit https://stat.ethz.ch/mailman/listinfo/r-sig-epi or, via email, send a message with subject or body 'help' to r-sig-epi-requ...@r-project.org You can reach the person managing the list at r-sig-epi-ow...@r-project.org When replying, please edit your Subject line so it is more specific than "Re: Contents of R-sig-Epi digest..." Today's Topics: 1. LCMATE mailing list (Polychronis Kostoulas) ---------------------------------------------------------------------- Message: 1 Date: Wed, 3 May 2017 16:45:19 +0300 From: "Polychronis Kostoulas" <pk...@vet.uth.gr> To: <r-sig-epi@r-project.org> Subject: [R-sig-Epi] LCMATE mailing list Message-ID: <000001d2c413$814fd080$83ef7180$@vet.uth.gr> Content-Type: text/plain; charset="UTF-8" Dear colleagues, We have created LCMATE (Latent Class Models for the Accuracy of TEsts), a mailing list for people that are interested in the development and application of latent class models for the evaluation of diagnostic tests, primarily within a Bayesian framework. The focus is on estimating the diagnostic accuracy of tests (either dichotomous, ordinal or continuous) in the absence of a gold standard. LCMs are used within this context because the true disease status of the individuals/samples is unknown (i.e. latent, or hidden). The scope of this list is to: 1. Assist researchers that are interested in the application of these methods to their own data 2. Promote the exchange of knowledge and ideas between researchers working in this area To subscribe please visit: http://lists.uth.gr/mailman/listinfo/lcmate or send an email to: lcmate-requ...@lists.uth.gr Kind Regards, Polychronis Kostoulas LCMATE Administrator [[alternative HTML version deleted]] ------------------------------ Subject: Digest Footer _______________________________________________ R-sig-Epi mailing list R-sig-Epi@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-epi ------------------------------ End of R-sig-Epi Digest, Vol 90, Issue 1 _______________________________________________ R-sig-Epi@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-epi
