Developing risk models for multicenter data using standard logistic regression produced suboptimal predictions: A simulation study

Meta-analysis of prediction model performance across multiple studies: Which scale helps ensure between-study normality for the C-statistic and calibration measures?

(2017) Kym IE Snell et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

A calibration hierarchy for risk models was defined: from utopia to empirical data

(2016) Ben Van Calster et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Does ignoring clustering in multicenter data influence the performance of prediction models? A simulation study

(2016) L Wynants et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

A note on obtaining correct marginal predictions from a random intercepts model for binary outcomes

(2015) Menelaos Pavlou et al.   BMC Medical Research Methodology

Improving patient prostate cancer risk assessment: Moving from static, globally-applied to dynamic, practice-specific risk calculators

(2015) Andreas N. Strobl et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Many multicenter trials had few events per center, requiring analysis via random-effects models or GEEs

(2015) Brennan C. Kahan et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Summarising and validating test accuracy results across multiple studies for use in clinical practice

(2015) Richard D. Riley et al.   STATISTICS IN MEDICINE

Assessing discriminative ability of risk models in clustered data

(2014) David van Klaveren et al.   BMC Medical Research Methodology

Accounting for centre-effects in multicentre trials with a binary outcome – when, why, and how?

(2014) Brennan C Kahan   BMC Medical Research Methodology

Strategies to diagnose ovarian cancer: new evidence from phase 3 of the multicentre international IOTA study

(2014) A Testa et al.   BRITISH JOURNAL OF CANCER

Prediction models for clustered data: comparison of a random intercept and standard regression model

(2013) Walter Bouwmeester et al.   BMC Medical Research Methodology

A framework for developing, implementing, and evaluating clinical prediction models in an individual participant data meta-analysis

(2013) Thomas P.A. Debray et al.   STATISTICS IN MEDICINE

Analysis of multicentre trials with continuous outcomes: when and how should we account for centre effects?

(2012) Brennan C. Kahan et al.   STATISTICS IN MEDICINE

Estimation of covariate effects in generalized linear mixed models with a misspecified distribution of random intercepts and slopes

(2012) John M. Neuhaus et al.   STATISTICS IN MEDICINE

Assessing the predictive ability of a multilevel binary regression model

(2011) R. Van Oirbeek et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

External Validity of Risk Models: Use of Benchmark Values to Disentangle a Case-Mix Effect From Incorrect Coefficients

(2010) Y. Vergouwe et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Ovarian cancer prediction in adnexal masses using ultrasound-based logistic regression models: a temporal and external validation study by the IOTA group

(2010) D. Timmerman et al.   ULTRASOUND IN OBSTETRICS & GYNECOLOGY

Prospective Internal Validation of Mathematical Models to Predict Malignancy in Adnexal Masses: Results from the International Ovarian Tumor Analysis Study

(2009) C. Van Holsbeke et al.   CLINICAL CANCER RESEARCH