Author’s response to reviews Title: A generic nomogram for multinomial prediction models: theory and guidance for construction Authors:

A generic nomogram for multinomial prediction models: theory and guidance for construction

Background: The use of multinomial logistic regression models is advocated for modeling the associations of covariates with three or more mutually exclusive outcome categories. As compared to a binary logistic regression analysis, the simultaneous modeling of multiple outcome categories using a multinomial model often better resembles the clinical setting, where a physician typically must disti...

Author’s response to reviews Title: Buffering Zone of Implantable Collamer Lens Sizing in V4c Authors:

Title: Buffering Zone of Implantable Collamer Lens Sizing in V4c Authors: Seung Wan Nam ([email protected]) Dong Hui Lim ([email protected]) Joo Hyun ([email protected]) Eui-Sang Chung ([email protected]) Tae-Young Chung ([email protected]) Version: 1 Date: 04 Sep 2017 Author’s response to reviews: Alja Crnej (Reviewer 1): 1. Page 8, line 130 how did you decide what was too large what w...

Author’s response to reviews Title: External validation, update and development of prediction models for pre-eclampsia using an Individual Participant Data (IPD) meta-analysis: the International Prediction of Pregnancy Complication Network (IPPIC Pre-eclampsia) protocol Authors:

Author’s response to reviews Title: Predictors for independent external validation of cardiovascular risk clinical prediction rules: Cox proportional hazards regression analyses Authors:

Author’s response to reviews Title: A streamlined method for analysing genome-wide DNA methylation patterns from low amounts of FFPE DNA Authors:

Title: A streamlined method for analysing genome-wide DNA methylation patterns from low amounts of FFPE DNA Authors: Aniruddha Chatterjee ([email protected]) Jackie Ludgate ([email protected]) James Wright ([email protected]) Peter Stockwell ([email protected]) Ian Morison ([email protected]) Micheal Eccles ([email protected]) Version: 3 ...