Lista de obras - Maarten van Smeden - Dominio Público Uruguay

A generic nomogram for multinomial prediction models: theory and guidance for construction

artículo científico publicado en 2017

A weighting method for simultaneous adjustment for confounding and joint exposure-outcome misclassifications

scientific article published on 30 September 2020

Adjustment for unmeasured confounding through informative priors for the confounder-outcome relation

scientific article published on 22 December 2018

Are Off-Field Activities an Underestimated Risk for Hamstring Injuries in Dutch Male Amateur Soccer Players? An Exploratory Analysis of a Prospective Cohort Study

scientific article published in 2022

Calibration: the Achilles heel of predictive analytics

scientific article published on 16 December 2019

Challenges in measuring interprofessional-interorganisational collaboration with a questionnaire

scientific article published on 21 April 2018

Comparability of treatment arms does not prevent correlated trial results

scientific article published on 24 August 2018

Concerns about composite reference standards in diagnostic research

artículo científico publicado en 2018

Diagnostic Test Accuracy in Childhood Pulmonary Tuberculosis: A Bayesian Latent Class Analysis

artículo científico publicado en 2016

Efficient sampling in unmatched case-control studies when the total number of cases and controls is fixed

artículo científico publicado en 2017

Evaluating diagnostic accuracy in the face of multiple reference standards.

artículo científico publicado en 2013

Event rate net reclassification index and the integrated discrimination improvement for studying incremental value of risk markers

scientific article published on 01 December 2017

Forcing dichotomous disease classification from reference standards leads to bias in diagnostic accuracy estimates: A simulation study

artículo científico publicado en 2019

How variation in predictor measurement affects the discriminative ability and transportability of a prediction model

scientific article published on 14 September 2018

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

artículo científico publicado en 2019

Latent class models in diagnostic studies when there is no reference standard--a systematic review.

artículo científico publicado en 2013

Machine Learning Compared With Pathologist Assessment

artículo científico publicado en 2018

Measurement error in continuous endpoints in randomised trials: Problems and solutions

artículo científico publicado en 2019

Measurement error is often neglected in medical literature: a systematic review.

artículo científico publicado en 2018

Mecor: An R package for measurement error correction in linear regression models with a continuous outcome

artículo científico publicado en 2021

No rationale for 1 variable per 10 events criterion for binary logistic regression analysis

artículo científico publicado en 2016

Predicting 1-Year Mortality in Older Hospitalized Patients: External Validation of the HOMR Model

scientific article published on 03 May 2019

Prediction models for diagnosis and prognosis of covid-19 infection: systematic review and critical appraisal

scientific article published on 07 April 2020

Problems in detecting misfit of latent class models in diagnostic research without a gold standard were shown.

artículo científico publicado en 2015

Protect pregnant women by including them in clinical research

artículo científico publicado en 2018

Random measurement error: Why worry? An example of cardiovascular risk factors.

artículo científico publicado en 2018

Regression shrinkage methods for clinical prediction models do not guarantee improved performance: Simulation study

scientific article published on 13 May 2020

Response Adjusted for Days of Antibiotic Risk (RADAR): evaluation of a novel method to compare strategies to optimize antibiotic use.

artículo científico publicado en 2017

Response to the commentary on "A nomogram was developed to enhance the use of multinomial logistic regression modelling in diagnostic research"

scientific article published on 30 March 2016

Risk prediction models for discrete ordinal outcomes: Calibration and the impact of the proportional odds assumption

artículo científico publicado en 2021

Sample size considerations and predictive performance of multinomial logistic prediction models

artículo científico publicado en 2019

Sample size for binary logistic prediction models: Beyond events per variable criteria

artículo científico publicado en 2018

Series: Pragmatic trials and real world evidence: Paper 6. Outcome measures in the real world.

artículo científico publicado en 2017

Systematic review and critical appraisal of prediction models for diagnosis and prognosis of COVID-19 infection

artículo científico publicado en 2020

The harm of class imbalance corrections for risk prediction models: illustration and simulation using logistic regression

artículo científico publicado en 2022

Towards an appropriate framework to facilitate responsible inclusion of pregnant women in drug development programs.

artículo científico publicado en 2018

Validation study of the SCREENIVF: an instrument to screen women or men on risk for emotional maladjustment before the start of a fertility treatment.

artículo científico publicado en 2017

Value of composite reference standards in diagnostic research.

artículo científico publicado en 2013

Why the grass isn't always greener on the machine learning side

artículo científico publicado en 2023

[Big, bigger, biggest; big data in medical research]

artículo científico publicado en 2018

Lista de obras de Maarten van Smeden

A generic nomogram for multinomial prediction models: theory and guidance for construction

A weighting method for simultaneous adjustment for confounding and joint exposure-outcome misclassifications

Adjustment for unmeasured confounding through informative priors for the confounder-outcome relation

Are Off-Field Activities an Underestimated Risk for Hamstring Injuries in Dutch Male Amateur Soccer Players? An Exploratory Analysis of a Prospective Cohort Study

Calibration: the Achilles heel of predictive analytics

Challenges in measuring interprofessional-interorganisational collaboration with a questionnaire

Comparability of treatment arms does not prevent correlated trial results

Concerns about composite reference standards in diagnostic research

Diagnostic Test Accuracy in Childhood Pulmonary Tuberculosis: A Bayesian Latent Class Analysis

Efficient sampling in unmatched case-control studies when the total number of cases and controls is fixed

Evaluating diagnostic accuracy in the face of multiple reference standards.

Event rate net reclassification index and the integrated discrimination improvement for studying incremental value of risk markers

Forcing dichotomous disease classification from reference standards leads to bias in diagnostic accuracy estimates: A simulation study

How variation in predictor measurement affects the discriminative ability and transportability of a prediction model

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

Latent class models in diagnostic studies when there is no reference standard--a systematic review.

Machine Learning Compared With Pathologist Assessment

Measurement error in continuous endpoints in randomised trials: Problems and solutions

Measurement error is often neglected in medical literature: a systematic review.

Mecor: An R package for measurement error correction in linear regression models with a continuous outcome

No rationale for 1 variable per 10 events criterion for binary logistic regression analysis

Predicting 1-Year Mortality in Older Hospitalized Patients: External Validation of the HOMR Model

Prediction models for diagnosis and prognosis of covid-19 infection: systematic review and critical appraisal

Problems in detecting misfit of latent class models in diagnostic research without a gold standard were shown.

Protect pregnant women by including them in clinical research

Random measurement error: Why worry? An example of cardiovascular risk factors.

Regression shrinkage methods for clinical prediction models do not guarantee improved performance: Simulation study

Response Adjusted for Days of Antibiotic Risk (RADAR): evaluation of a novel method to compare strategies to optimize antibiotic use.

Response to the commentary on "A nomogram was developed to enhance the use of multinomial logistic regression modelling in diagnostic research"

Risk prediction models for discrete ordinal outcomes: Calibration and the impact of the proportional odds assumption

Sample size considerations and predictive performance of multinomial logistic prediction models

Sample size for binary logistic prediction models: Beyond events per variable criteria

Series: Pragmatic trials and real world evidence: Paper 6. Outcome measures in the real world.

Systematic review and critical appraisal of prediction models for diagnosis and prognosis of COVID-19 infection

The harm of class imbalance corrections for risk prediction models: illustration and simulation using logistic regression

Towards an appropriate framework to facilitate responsible inclusion of pregnant women in drug development programs.

Validation study of the SCREENIVF: an instrument to screen women or men on risk for emotional maladjustment before the start of a fertility treatment.

Value of composite reference standards in diagnostic research.

Why the grass isn't always greener on the machine learning side

[Big, bigger, biggest; big data in medical research]