loader
publication

Solution

metamisc: Meta-Analysis of Diagnosis and Prognosis Research Studies

Meta-analysis of diagnostic and prognostic modeling studies. Summarize estimates of prognostic factors, diagnostic test accuracy and prediction model performance. Validate, update and combine published prediction models. Develop new prediction models with data from multiple studies. R package available from CRAN and R-Forge. Maintained by Thomas Debray & Valentijn de Jong 1. Data preparation for systematic reviews of prediction model performance via ccalc and oecalc (Debray et al. 2017, 2018 and Snell et al. 2017). 2. Meta-analysis of prediction model performance via valmeta (Debray et al. 2017, 2018 and Snell et al. 2017). 3. Evaluation of funnel plot asymmetry and publication bias via fat (Debray et al. 2018). Generation

CRAN_Status_Badge metacran downloads R-CMD-check

Key Features
ccalc
oecalc
valmeta
fat
forest
Research Archieve
Related Events

Recomended events for you

08

Aug

Systematic Review and Meta-analysis of prediction models

Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia

21

Jun

Systematic reviews and meta-analysis of prognostic studies

Cochrane Madrid, Madrid, Spain

24

Oct

Systematic review and meta-analysis of external validation studies of multivariable diagnostic or prognostic models: a primer

24th Cochrane Colloquium, Seoul, South Korea

23

Aug

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

07

Mar

Individual Participant Data (IPD) Meta-analysis of prediction modelling studies

Institut für Medizinische Statistik, University of Goettingen, Goettingen, Germany

16

Oct

Meta-analysis of clinical prediction models

Department for Health Evidence & Nijmegen Centre for Evidence Based Practice, Radboud University Medical Center, Nijmegen, Netherlands

16

Oct

Meta-analysis of clinical prediction models: Incorporating published univariable associations in the analysis of individual patient data

31st Annual Conference of the International Society for Clinical Biostatistics (ISCB), Montpellier, France

16

Oct

Meta-analysis of clinical prediction rules: incorporating known univariate associations as prior knowledge when analyzing multivariate data

Vereniging voor Epidemiologie (VvE), Nijmegen, Netherlands

16

Oct

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

16

Oct

Multivariate Meta-Analysis: A Comparison of Approaches

Julius Center for Health Sciences and Primary Care, Utrecht University, Utrecht, Netherlands

16

Oct

Meta-analysis and aggregation of multiple published prediction models

34th Annual Conference of the International Society for Clinical Biostatistics (ISCB), Munich, Germany

16

Oct

Meta-analysis and aggregation of multiple published prediction models

College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom

16

Oct

Systematic reviews of prognostic studies IV: Meta-analytical approaches in systematic reviews of prognostic studies

Global Evidence Summit 2017, Cape Town, South Africa

16

Oct

Meta-analysis of prognosis studies: Introduction of a new R package

National Heart & Lung Institute, London, United Kingdom

OTHER EVENTS