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Prediction models need appropriate internal, internal–external, and external validation

Journal of clinical epidemiology, 2016-01, Vol.69, p.245-247

2016

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Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes

Statistics in medicine, 2019-03, Vol.38 (7), p.1276-1296

2019

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Graphical calibration curves and the integrated calibration index (ICI) for survival models

Statistics in medicine, 2020-09, Vol.39 (21), p.2714-2742

2020

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Modeling continuous response variables using ordinal regression

Statistics in medicine, 2017-11, Vol.36 (27), p.4316-4335

2017

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Calculating the sample size required for developing a clinical prediction model

BMJ (Online), 2020-03, Vol.368, p.m441

2020

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A tutorial on individualized treatment effect prediction from randomized trials with a binary endpoint

Statistics in medicine, 2021-11, Vol.40 (26), p.5961-5981

2021

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Minimum sample size for developing a multivariable prediction model: Part I – Continuous outcomes

Statistics in medicine, 2019-03, Vol.38 (7), p.1262-1275

2019

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Commentary on van Lancker et al

Clinical trials (London, England), 2024-08, Vol.21 (4), p.412-414

Harrell, Frank E

2024

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Comparison of Outcomes Following Anterior vs Posterior Fusion Surgery for Patients With Degenerative Cervical Myelopathy: An Analysis From Quality Outcomes Database

Neurosurgery, 2019-04, Vol.84 (4), p.919-926

2019

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Evaluation of clinical prediction models (part 1): from development to external validation

BMJ (Online), 2024-01, Vol.384, p.e074819

2024

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Using Bayesian Methods to Augment the Interpretation of Critical Care Trials. An Overview of Theory and Example Reanalysis of the Alveolar Recruitment for Acute Respiratory Distress Syndrome Trial

American journal of respiratory and critical care medicine, 2021-03, Vol.203 (5), p.543-552

2021

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EEG-based model and antidepressant response

Nature biotechnology, 2021-01, Vol.39 (1), p.27-27

2021

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Bayesian transition models for ordinal longitudinal outcomes

Statistics in medicine, 2024-08, Vol.43 (18), p.3539-3561

2024

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Health-Status Outcomes with Invasive or Conservative Care in Coronary Disease

The New England journal of medicine, 2020-04, Vol.382 (15), p.1408-1419

2020

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Criteria for Evaluation of Novel Markers of Cardiovascular Risk: A Scientific Statement From the American Heart Association

Circulation (New York, N.Y.), 2009-05, Vol.119 (17), p.2408-2416

2009

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Prescription opioid epidemic and infant outcomes

Pediatrics (Evanston), 2015-05, Vol.135 (5), p.842-850

2015

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Too many covariates and too few cases? - a comparative study

Statistics in medicine, 2016-11, Vol.35 (25), p.4546-4558

2016

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B-Type Natriuretic Peptide Levels and Mortality in Patients With and Without Heart Failure

Journal of the American College of Cardiology, 2018-05, Vol.71 (19), p.2079-2088

2018

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Impact of Tissue Expander Surface Texture on Two-Stage Breast Reconstruction Outcomes: A Combined Analysis

Plastic and reconstructive surgery (1963), 2024-06, Vol.153 (6), p.1053e-1062e

2024

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Neighborhood Deprivation Predicts Heart Failure Risk in a Low-Income Population of Blacks and Whites in the Southeastern United States

Circulation Cardiovascular quality and outcomes, 2018-01, Vol.11 (1), p.e004052-e004052

2018

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Evaluating Medical Therapy for Calcific Aortic Stenosis: JACC State-of-the-Art Review

Journal of the American College of Cardiology, 2021-12, Vol.78 (23), p.2354-2376

2021

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Association of step counts over time with the risk of chronic disease in the All of Us Research Program

Nature medicine, 2022-11, Vol.28 (11), p.2301-2308

2022

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Using the outcome for imputation of missing predictor values was preferred

Journal of clinical epidemiology, 2006-10, Vol.59 (10), p.1092-1101

2006

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Predictive performance of machine and statistical learning methods: Impact of data-generating processes on external validity in the “large N, small p” setting

Statistical methods in medical research, 2021-06, Vol.30 (6), p.1465-1483

2021

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Empirical analyses and simulations showed that different machine and statistical learning methods had differing performance for predicting blood pressure

Scientific reports, 2022-06, Vol.12 (1), p.9312-9312, Article 9312

2022

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Prediction models need appropriate internal, internal–external, and external validation

Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes

Graphical calibration curves and the integrated calibration index (ICI) for survival models

Modeling continuous response variables using ordinal regression

Calculating the sample size required for developing a clinical prediction model

A tutorial on individualized treatment effect prediction from randomized trials with a binary endpoint

Minimum sample size for developing a multivariable prediction model: Part I – Continuous outcomes

Commentary on van Lancker et al

Comparison of Outcomes Following Anterior vs Posterior Fusion Surgery for Patients With Degenerative Cervical Myelopathy: An Analysis From Quality Outcomes Database

Evaluation of clinical prediction models (part 1): from development to external validation

Using Bayesian Methods to Augment the Interpretation of Critical Care Trials. An Overview of Theory and Example Reanalysis of the Alveolar Recruitment for Acute Respiratory Distress Syndrome Trial

EEG-based model and antidepressant response

Bayesian transition models for ordinal longitudinal outcomes

Health-Status Outcomes with Invasive or Conservative Care in Coronary Disease

Criteria for Evaluation of Novel Markers of Cardiovascular Risk: A Scientific Statement From the American Heart Association

Prescription opioid epidemic and infant outcomes

Too many covariates and too few cases? - a comparative study

B-Type Natriuretic Peptide Levels and Mortality in Patients With and Without Heart Failure

Impact of Tissue Expander Surface Texture on Two-Stage Breast Reconstruction Outcomes: A Combined Analysis

Neighborhood Deprivation Predicts Heart Failure Risk in a Low-Income Population of Blacks and Whites in the Southeastern United States

Evaluating Medical Therapy for Calcific Aortic Stenosis: JACC State-of-the-Art Review

Association of step counts over time with the risk of chronic disease in the All of Us Research Program

Using the outcome for imputation of missing predictor values was preferred

Predictive performance of machine and statistical learning methods: Impact of data-generating processes on external validity in the “large N, small p” setting

Empirical analyses and simulations showed that different machine and statistical learning methods had differing performance for predicting blood pressure

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