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Better predictions using big(ger) data sets. Methodology & Statistics Data Science Lab, Utrecht, The Netherlands

Clinical Prediction Models: Challenges and Opportunities. Data Science Day, Utrecht University, Utrecht, The Netherlands

Machine Learning for heart failure prognosis. The Farr Institute of Health Informatics Research, University College London, London, UK

Causal inference in non-randomized data using prognostic score analysis methods. Institut für sozial- und präventivmedizin, University of Bern, Bern, Switzerland

Meta-analysis of prediction models: combining aggregate and individual participant data. Institut für sozial- und präventivmedizin, University of Bern, Bern, Switzerland

Meta-analysis of prognosis studies: Introduction of a new R package. National Heart & Lung Institute, London, United Kingdom

Network meta-analysis using individual participant data: key steps towards predictive modeling. Biogen, Cambridge, United States

Clinical Prediction Models: Challenges and Opportunities. Health eResearch Centre, University of Manchester, Manchester, United Kingdom

Prediction modelling using large clustered data sets. School of Public Health & Family Medicine, University of Cape Town, Cape Town, South Africa

Systematic reviews of prognostic studies IV: Meta-analytical approaches in systematic reviews of prognostic studies. Global Evidence Summit 2017, Cape Town, South Africa

A framework for meta-analysis of prediction models for binary and time-to-event outcomes. Global Evidence Summit 2017, Cape Town, South Africa

Meta-analysis of external validation studies. 38th Annual Conference of the International Society for Clinical Biostatistics (ISCB), Vigo, Spain

Developing and validating prediction models using large clustered datasets and meta-analysis. Utrecht Bioinformatics Center, Utrecht, The Netherlands

Multiple Imputation in Individual Participant Data Meta-Analysis. Research Institute for Primary Care and Health Sciences, Keele University, Keele, United Kingdom

Use of multiple IPDs in developing prediction models. Blizard Institute. Barts and The London School of Medicine and Dentistry. Queen Mary University of London, London, United Kingdom

A gentle introduction into network meta-analysis. European Organisation for Research and Treatment of Cancer (EORTC), Brussels, Belgium

Modelling effectiveness from clinical trials. ECCO2017: European Cancer Congress, Amsterdam, Netherlands

Multiple Imputation in Individual Participant Data Meta-Analysis. Research Institute for Primary Care and Health Sciences, Keele University, Keele, United Kingdom

Predicting the unknown in health care: challenges and opportunities. Department of Electrical Engineering (ESAT), University of Leuven, Leuven, Belgium

Network Meta-Analysis using Individual Participant Data. European Federation of Statisticians in the Pharmaceutical Industry (EFSPI), Brussels, Belgium

Systematic reviews of prognostic studies 3: meta-analytical approaches in systematic reviews of prognostic studies. 24th Cochrane Colloquium, Seoul, South Korea

Network meta-analysis using individual participant data: when do benefits arise?. 24th Cochrane Colloquium, Seoul, South Korea

Dealing with missing data in an individual participant data meta-analysis: one-stage versus two-stage methods. 24th Cochrane Colloquium, Seoul, South Korea

Individual participant data (IPD) meta-analysis of prognostic studies: combining aggregate data and IPD. 24th Cochrane Colloquium, Seoul, South Korea

Individual participant data (IPD) meta-analysis of prognostic studies. 24th Cochrane Colloquium, Seoul, South Korea

Systematic review and meta-analysis of external validation studies of multivariable diagnostic or prognostic models: a primer. 24th Cochrane Colloquium, Seoul, South Korea

Network Meta-Analysis including Individual Participant Data. IMI GetReal, London, United Kingdom

Dealing with missing data in an Individual Participant Data Meta-Analysis. 37th Annual Conference of the International Society for Clinical Biostatistics (ISCB), Birmingham, United Kingdom

An overview of methods for network meta-analysis using individual participant data: when do benefits arise?. 37th Annual Conference of the International Society for Clinical Biostatistics (ISCB), Birmingham, United Kingdom

Systematic review and meta-analysis of external validation studies. Royal Statistical Society, London, United Kingdom

Better predictions using big(ger) data sets. The Netherlands Organisation for Scientific Research, Utrecht, The Netherlands

Network meta-analysis using IPD - an illustration of its potential advantages. PSI Conference 2016 - Promoting Statistical Insight and Collaboration in Drug Development, Berlin, Germany

Multiple Imputation in Individual Participant Data Meta-Analysis. Research Institute for Primary Care and Health Sciences, Keele University, Keele, United Kingdom

Individual Participant Data (IPD) Meta-analysis of prediction modelling studies. Institut für Medizinische Statistik, University of Goettingen, Goettingen, Germany

Individual Participant Data Network Meta-Analysis (IPD-MA). IMI GetReal, Manchester, United Kingdom

Review of best practices in evidence synthesis and predictive modelling of relative effectiveness. IMI GetReal, Manchester, United Kingdom

Multiple Imputation in Individual Participant Data Meta-Analysis. Research Institute for Primary Care and Health Sciences, Keele University, Keele, United Kingdom

IPD network meta-analysis. Amgen, Milan, Italy

IPD meta-analysis in prognostic research. International Prediction of Pre-eclampsia IPD Collaborative Network (IPPIC), London, United Kindgom

Development and Validation of Clinical Prediction Models using Multiple Individual Participant Data (IPD) Sets: Distinguishing between Reproducibility, Transportability, and Generalizability. Biogen, Boston, United States

Individual Participant Data (IPD) meta-analysis of prognostic studies. 23rd Cochrane Colloquium, Vienna, Austria

Individual Participant Data (IPD) meta-analysis of diagnostic and prognostic modeling studies: a practical introduction to their rationale and conduct. 23rd Cochrane Colloquium, Vienna, Austria

Systematic reviews of prognostic studies 4: quantitative synthesis and meta-analytical approaches. 23rd Cochrane Colloquium, Vienna, Austria

Statistical models for network meta-analysis: an empirical comparison. 23rd Cochrane Colloquium, Vienna, Austria

Methods for individual participant data meta-analysis of relative treatment effects: a methodologic overview. 23rd Cochrane Colloquium, Vienna, Austria

Imputation of systematically missing predictors in an individual participant data meta-analysis: a generalized approach using MICE. 23rd Cochrane Colloquium, Vienna, Austria

Methods for Individual Participant Data meta-analysis of relative treatment effects: a methodological overview. 36th Annual Conference of the International Society for Clinical Biostatistics (ISCB), Utrecht, Netherlands

Statistical models for network meta-analysis: an empirical comparison. 36th Annual Conference of the International Society for Clinical Biostatistics (ISCB), Utrecht, Netherlands

An evaluation of statistical methods for Individual Participant Data Network Meta-Analysis. Royal Statistical Society, London, United Kingdom

Methods for IPD meta-analysis: a systematic review. Institut für sozial- und präventivmedizin, University of Bern, Bern, Switzerland

Systematic reviews of prognostic studies: a meta-analytical approach. 22nd Cochrane Colloquium, Hyderabad, India

Publication bias tests for survival data: a simulation study. 22nd Cochrane Colloquium, Hyderabad, India

Multiple imputation of systematically missing predictors in an individual participant data meta-analysis: a generalized approach using MICE. 22nd Cochrane Colloquium, Hyderabad, India

How to appraise Individual Participant Data (IPD) meta-analysis in diagnostic and prognostic risk prediction research. 22nd Cochrane Colloquium, Hyderabad, India

Individual participant data (IPD) meta-analysis of risk prediction studies. 22nd Cochrane Colloquium, Hyderabad, India

Systematic reviews of prediction modelling studies: designing, critical appraisal and data collection. 22nd Cochrane Colloquium, Hyderabad, India

Multiple imputation of systematically missing predictors in an individual participant data meta-analysis: a generalized approach using MICE. 35th Annual Conference of the International Society for Clinical Biostatistics (ISCB), Vienna, Austria

How to appraise Individual Participant Data (IPD) meta-analysis in diagnostic and prognostic risk prediction research. 35th Annual Conference of the International Society for Clinical Biostatistics (ISCB), Vienna, Austria

Publication bias tests for survival data: a simulation study. 35th Annual Conference of the International Society for Clinical Biostatistics (ISCB), Vienna, Austria

Publication bias tests for survival data: a simulation study. Royal Statistical Society, London, United Kingdom

Meta-analysis of clinical prediction models. Department for Health Evidence & Nijmegen Centre for Evidence Based Practice, Radboud University Medical Center, Nijmegen, Netherlands

Review of methods for IPD meta-analysis. IMI GetReal, Zeist, Netherlands

A framework for individual participant data meta-analysis in the presence of missing data. 21th Cochrane Colloquium, Quebec, Canada

A framework to interpret external validation studies of prediction models. 21th Cochrane Colloquium, Quebec, Canada

Individual participant data meta-analysis for a binary outcome: one-stage or two-stage?. 21th Cochrane Colloquium, Quebec, Canada

Meta-analysis and aggregation of multiple published prediction models. 34th Annual Conference of the International Society for Clinical Biostatistics (ISCB), Munich, Germany

A framework to interpret external validition studies of prediction models. 34th Annual Conference of the International Society for Clinical Biostatistics (ISCB), Munich, Germany

A framework for individual participant data meta-analysis in the presence of missing data. 34th Annual Conference of the International Society for Clinical Biostatistics (ISCB), Munich, Germany

Meta-analysis and aggregation of multiple published prediction models. College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom

A framework for developing, implementing and evaluating clinical prediction models in an individual participant data meta-analysis. College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom

Individual Participant Data Meta-Analysis with systematically missing predictors. Royal Statistical Society, London, United Kingdom

A framework to interpret external validation of clinical prediction models and their generalizability. Vereniging voor Epidemiologie (VvE), Utrecht, Netherlands

Meta-analysis and aggregation of multiple published prediction models. Vereniging voor Epidemiologie (VvE), Utrecht, Netherlands

A framework for Individual Participant Data Meta-Analysis in the presence of missing data. Faculty of Social and Behavioural Sciences, Utrecht University, Utrecht, Netherlands

Aggregating published prediction models with individual participant data. Royal Statistical Society, London, United Kingdom

A framework for developing, implementing and evaluating clinical prediction models in an IPD meta-analysis. Julius Center for Health Sciences and Primary Care, Utrecht University, Utrecht, Netherlands

A framework for developing and implementing clinical prediction models across multiple studies. 20th Cochrane Colloquium, Auckland, New Zealand

Aggregating published prediction models with individual participant data: combining models with different predictors. 20th Cochrane Colloquium, Auckland, New Zealand

A framework for evaluating and distinguishing validity and generalization of prediction models. 20th Cochrane Colloquium, Auckland, New Zealand

A framework for developing and implementing clinical prediction models across multiple studies with binary outcomes. 33th Annual Conference of the International Society for Clinical Biostatistics (ISCB), Bergen, Norway

Aggregating published prediction models with individual patient data. 33th Annual Conference of the International Society for Clinical Biostatistics (ISCB), Bergen, Norway

A framework for developing, implementing and evaluating clinical prediction models across multiple studies with binary outcomes. Julius Center for Health Sciences and Primary Care, Utrecht University, Utrecht, Netherlands

A framework for evaluating and distinguishing validity and generalization of prediction models. Vereniging voor Epidemiologie (VvE), Rotterdam, Netherlands

A framework for developing, implementing and evaluating clinical prediction models across multiple studies with binary outcomes. Vereniging voor Epidemiologie (VvE), Rotterdam, Netherlands

Aggregating published prediction models with individual participant data: combining models with different predictors. Vereniging voor Epidemiologie (VvE), Rotterdam, Netherlands

Clinical Prediction Modeling and External Knowledge. School of Mathematics, University of Birmingham, Birmingham, United Kingdom

Incorporating published univariable associations in diagnostic and prognostic modeling. Royal Statistical Society, London, United Kingdom

Case study on Dealing with Missing Values. Department of Public Health and Biostatistics, University of Birmingham, Birmingham, United Kingdom

Regression modelling with prior evidence. Department of Public Health and Biostatistics, University of Birmingham, Birmingham, United Kingdom

Aggregating published prediction models with individual patient data: a comparison of different approaches. 19th Cochrane Colloquium, Madrid, Spain

Meta-analytical approaches for diagnostic and prognostic prediction research: incorporating published univariable associations in multivariable analysis of individual patient data. 19th Cochrane Colloquium, Madrid, Spain

Multivariate Meta-Analysis: A Comparison of Approaches. Julius Center for Health Sciences and Primary Care, Utrecht University, Utrecht, Netherlands

Aggregating Published Prediction Models with Individual Patient Data: A Comparison of Approaches. 32nd Annual Conference of the International Society for Clinical Biostatistics (ISCB), Ottawa, Canada

Aggregating published prediction models with individual patient data: Approaches to improve predictions across patient populations. Vereniging voor Epidemiologie (VvE), IJmuiden, Netherlands