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Sample size considerations for the external validation of a multivariable prognostic model: a resampling study

Statistics in medicine, 2016-01, Vol.35 (2), p.214-226

2016

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Minimum sample size for external validation of a clinical prediction model with a binary outcome

Statistics in medicine, 2021-08, Vol.40 (19), p.4230-4251

2021

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The Integrated Calibration Index (ICI) and related metrics for quantifying the calibration of logistic regression models

Statistics in medicine, 2019-09, Vol.38 (21), p.4051-4065

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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Developing more generalizable prediction models from pooled studies and large clustered data sets

Statistics in medicine, 2021-07, Vol.40 (15), p.3533-3559

2021

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A framework for developing, implementing, and evaluating clinical prediction models in an individual participant data meta-analysis

Statistics in medicine, 2013-08, Vol.32 (18), p.3158-3180

2013

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Finding the best subgroup with differential treatment effect with multiple outcomes

Statistics in medicine, 2024-06, Vol.43 (13), p.2487-2500

2024

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Impact of predictor measurement heterogeneity across settings on the performance of prediction models: A measurement error perspective

Statistics in medicine, 2019-08, Vol.38 (18), p.3444-3459

2019

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A comparison of hyperparameter tuning procedures for clinical prediction models: A simulation study

Statistics in medicine, 2024-03, Vol.43 (6), p.1119-1134

2024

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Utilizing local likelihood in regression discontinuity design: Investigating the impact of antiretroviral therapy eligibility on retention in clinical HIV care in South Africa

Statistics in medicine, 2024-04, Vol.43 (8), p.1640-1659

2024

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Online cross‐validation‐based ensemble learning

Statistics in medicine, 2018-01, Vol.37 (2), p.249-260

2018

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Confidence intervals for the Cox model test error from cross-validation

Statistics in medicine, 2023-11, Vol.42 (25), p.4532-4541

2023

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Mediation analysis in the presence of continuous exposure measurement error

Statistics in medicine, 2023-05, Vol.42 (11), p.1669-1686

2023

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Impact of discretization of the timeline for longitudinal causal inference methods

Statistics in medicine, 2020-11, Vol.39 (27), p.4069-4085

2020

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Minimum sample size for external validation of a clinical prediction model with a continuous outcome

Statistics in medicine, 2021-01, Vol.40 (1), p.133-146

2021

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Overall assessment for selected markers from high‐throughput data

Statistics in medicine, 2022-12, Vol.41 (30), p.5830-5843

2022

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Biomarkers and surrogate endpoints in clinical trials

Statistics in medicine, 2012-11, Vol.31 (25), p.2973-2984

2012

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Minimum sample size calculations for external validation of a clinical prediction model with a time‐to‐event outcome

Statistics in medicine, 2022-03, Vol.41 (7), p.1280-1295

2022

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Patient subgroup identification for clinical drug development

Statistics in medicine, 2017-04, Vol.36 (9), p.1414-1428

2017

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Meta-analysis and aggregation of multiple published prediction models

Statistics in medicine, 2014-06, Vol.33 (14), p.2341-2362

2014

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Comparisons of zero‐augmented continuous regression models from a Bayesian perspective

Statistics in medicine, 2021-02, Vol.40 (5), p.1073-1100

2021

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Handling missing predictor values when validating and applying a prediction model to new patients

Statistics in medicine, 2020-11, Vol.39 (25), p.3591-3607

2020

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Shrinkage estimators of the spatial relative risk function

Statistics in medicine, 2023-11, Vol.42 (25), p.4556-4569

Hazelton, Martin L.

2023

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Validation and updating of predictive logistic regression models: a study on sample size and shrinkage

Statistics in medicine, 2004-08, Vol.23 (16), p.2567-2586

2004

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Constrained binary classification using ensemble learning: an application to cost‐efficient targeted PrEP strategies

Statistics in medicine, 2018-01, Vol.37 (2), p.261-279

2018

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Sample size considerations for the external validation of a multivariable prognostic model: a resampling study

Minimum sample size for external validation of a clinical prediction model with a binary outcome

The Integrated Calibration Index (ICI) and related metrics for quantifying the calibration of logistic regression models

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

Developing more generalizable prediction models from pooled studies and large clustered data sets

A framework for developing, implementing, and evaluating clinical prediction models in an individual participant data meta-analysis

Finding the best subgroup with differential treatment effect with multiple outcomes

Impact of predictor measurement heterogeneity across settings on the performance of prediction models: A measurement error perspective

A comparison of hyperparameter tuning procedures for clinical prediction models: A simulation study

Utilizing local likelihood in regression discontinuity design: Investigating the impact of antiretroviral therapy eligibility on retention in clinical HIV care in South Africa

Online cross‐validation‐based ensemble learning

Confidence intervals for the Cox model test error from cross-validation

Mediation analysis in the presence of continuous exposure measurement error

Impact of discretization of the timeline for longitudinal causal inference methods

Minimum sample size for external validation of a clinical prediction model with a continuous outcome

Overall assessment for selected markers from high‐throughput data

Biomarkers and surrogate endpoints in clinical trials

Minimum sample size calculations for external validation of a clinical prediction model with a time‐to‐event outcome

Patient subgroup identification for clinical drug development

Meta-analysis and aggregation of multiple published prediction models

Comparisons of zero‐augmented continuous regression models from a Bayesian perspective

Handling missing predictor values when validating and applying a prediction model to new patients

Shrinkage estimators of the spatial relative risk function

Validation and updating of predictive logistic regression models: a study on sample size and shrinkage

Constrained binary classification using ensemble learning: an application to cost‐efficient targeted PrEP strategies

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