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SCI Abstract
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Reporting of prognostic clinical prediction models based on machine learning methods in oncology needs to be improved
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High prevalence of spin was found in pharmacovigilance studies usingdisproportionality analyses todetectsafetysignals: a meta-epidemiologicalstudy
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Prespecification of subgroup analyses and examination of treatment-subgroup interactions in cancer individual participant data meta-analyses are suboptimal
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The possible effects of iron loss from bloodletting on mortality from pneumonia in the nineteenth century
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Large-scale validation of the Prediction model Risk Of Bias ASsessment Tool (PROBAST) using a short form: high risk of bias models show poorer discrimination
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Using a stepwise approach to simultaneously develop and validate Machine Learning based prediction models
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Informing the Evidence to Decision Process with Health Equity Considerations: Demonstration from the Canadian Rheumatoid Arthritis Care Context
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Per protocol analyses produced larger treatment effect sizes than intention to treat: a meta-epidemiological study
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The prevalence of HR-HPV infection based on self-sampling among women in China exhibited some unique epidemiologic features
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