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  1. Research

    Validation of prediction models: examining temporal and geographic stability of baseline risk and estimated covariate effects

    Stability in baseline risk and estimated predictor effects both geographically and temporally is a desirable property of clinical prediction models. However, this issue has received little attention in the met...

    Peter C. Austin, David van Klaveren, Yvonne Vergouwe, Daan Nieboer, Douglas S. Lee and Ewout W. Steyerberg

    Diagnostic and Prognostic Research 2017 1:12

    Published on: 13 April 2017

  2. Methodology

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

    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 ...

    Maarten van Smeden, Joris AH de Groot, Stavros Nikolakopoulos, Loes CM Bertens, Karel GM Moons and Johannes B. Reitsma

    Diagnostic and Prognostic Research 2017 1:8

    Published on: 10 April 2017

  3. Erratum

    Erratum to: Methods for evaluating medical tests and biomarkers

    Gowri Gopalakrishna, Miranda Langendam, Rob Scholten, Patrick Bossuyt, Mariska Leeflang, Anna Noel-Storr, James Thomas, Iain Marshall, Byron Wallace, Penny Whiting, Clare Davenport, Mariska Leeflang, Gowri GopalaKrishna, Isabel de Salis, Sue Mallett, Robert Wolff…

    Diagnostic and Prognostic Research 2017 1:11

    Published on: 30 March 2017

    The original article was published in Diagnostic and Prognostic Research 2017 1:7

  4. Protocol

    Predictors for major cardiovascular outcomes in stable ischaemic heart disease (PREMAC): statistical analysis plan for data originating from the CLARICOR (clarithromycin for patients with stable coronary heart disease) trial

    The purpose of the predictors for major cardiovascular outcomes in stable ischaemic heart disease (PREMAC) study is exploratory and hypothesis generating. We want to identify biochemical quantities which—condi...

    Per Winkel, Janus Christian Jakobsen, Jørgen Hilden, Theis Lange, Gorm Boje Jensen, Erik Kjøller, Ahmad Sajadieh, Jens Kastrup, Hans Jørn Kolmos, Anders Larsson, Johan Ärnlöv and Christian Gluud

    Diagnostic and Prognostic Research 2017 1:10

    Published on: 29 March 2017

  5. Protocol

    Development and validation of prediction models for risk of adverse outcomes in women with early-onset pre-eclampsia: protocol of the prospective cohort PREP study

    Early-onset pre-eclampsia with raised blood pressure and protein in the urine before 34 weeks’ gestation is one of the leading causes of maternal deaths in the UK. The benefits to the child from prolonging the...

    John Allotey, Nadine Marlin, Ben W. Mol, Peter Von Dadelszen, Wessel Ganzevoort, Joost Akkermans, Asif Ahmed, Jane Daniels, Jon Deeks, Khaled Ismail, Ann Marie Barnard, Julie Dodds, Sally Kerry, Carl Moons, Khalid S. Khan, Richard D. Riley…

    Diagnostic and Prognostic Research 2017 1:6

    Published on: 20 February 2017

  6. Meeting abstracts

    Methods for Evaluating Medical Tests and Biomarkers

    Gowri Gopalakrishna, Miranda Langendam, Rob Scholten, Patrick Bossuyt, Mariska Leeflang, Anna Noel-Storr, James Thomas, Iain Marshall, Byron Wallace, Penny Whiting, Clare Davenport, Mariska Leeflang, Gowri GopalaKrishna, Isabel de Salis, Sue Mallett, Robert Wolff…

    Diagnostic and Prognostic Research 2017 1(Suppl 1):7

    Published on: 16 February 2017

    The Erratum to this article has been published in Diagnostic and Prognostic Research 2017 1:11

  7. Review

    Prediction models for the risk of gestational diabetes: a systematic review

    Numerous prediction models for gestational diabetes mellitus (GDM) have been developed, but their methodological quality is unknown. The objective is to systematically review all studies describing first-trime...

    Marije Lamain – de Ruiter, Anneke Kwee, Christiana A. Naaktgeboren, Arie Franx, Karel G. M. Moons and Maria P. H. Koster

    Diagnostic and Prognostic Research 2017 1:3

    Published on: 8 February 2017

  8. Research

    Prognosis research ideally should measure time-varying predictors at their intended moment of use

    Prognosis research studies (e.g. those deriving prognostic models or examining potential predictors of outcome) often collect information on time-varying predictors after their intended moment of use, sometimes u...

    Rebecca Whittle, Kara-Louise Royle, Kelvin P. Jordan, Richard D. Riley, Christian D. Mallen and George Peat

    Diagnostic and Prognostic Research 2017 1:1

    Published on: 8 February 2017

  9. Methodology

    Validation and updating of risk models based on multinomial logistic regression

    Risk models often perform poorly at external validation in terms of discrimination or calibration. Updating methods are needed to improve performance of multinomial logistic regression models for risk prediction.

    Ben Van Calster, Kirsten Van Hoorde, Yvonne Vergouwe, Shabnam Bobdiwala, George Condous, Emma Kirk, Tom Bourne and Ewout W. Steyerberg

    Diagnostic and Prognostic Research 2017 1:2

    Published on: 8 February 2017

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