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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

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ccalc
oecalc
valmeta
fat
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