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Estimating measures of interaction on an additive scale for preventive exposures

European journal of epidemiology, 2011-06, Vol.26 (6), p.433-438

2011

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When observational studies can give wrong answers: the potential of immortal time bias

European journal of endocrinology, 2021-01, Vol.184 (1), p.E1

2021

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Dealing With Missing Outcome Data in Randomized Trials and Observational Studies

American journal of epidemiology, 2012-02, Vol.175 (3), p.210-217

2012

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TREC Based Newborn Screening for Severe Combined Immunodeficiency Disease: A Systematic Review

Journal of clinical immunology, 2015-05, Vol.35 (4), p.416-430

2015

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Operative treatment versus nonoperative treatment of Achilles tendon ruptures: systematic review and meta-analysis

BMJ (Online), 2019-01, Vol.364, p.k5120

2019

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Challenges in the Design, Registration, and Reporting of Noninferiority Trials

JAMA psychiatry (Chicago, Ill.), 2022-03, Vol.79 (3), p.191

2022

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Get real in individual participant data (IPD) meta-analysis: a review of the methodology

Research synthesis methods, 2015-12, Vol.6 (4), p.293-309

2015

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Prediction meets causal inference: the role of treatment in clinical prediction models

European journal of epidemiology, 2020-07, Vol.35 (7), p.619-630

2020

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Series: Pragmatic trials and real world evidence: Paper 1. Introduction

Journal of clinical epidemiology, 2017-08, Vol.88, p.7-13

2017

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Quantitative bias analysis in practice: review of software for regression with unmeasured confounding

BMC medical research methodology, 2023-05, Vol.23 (1), p.111-111, Article 111

2023

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Effects of exercise in breast cancer patients: implications of the trials within cohorts (TwiCs) design in the UMBRELLA Fit trial

Breast cancer research and treatment, 2021-11, Vol.190 (1), p.89-101

2021

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Reporting of covariate selection and balance assessment in propensity score analysis is suboptimal: a systematic review

Journal of clinical epidemiology, 2015-02, Vol.68 (2), p.122-131

2015

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

Journal of clinical epidemiology, 2018-06, Vol.98, p.89-97

2018

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Incidence and mortality of necrotizing fasciitis in The Netherlands: the impact of group A Streptococcus

BMC infectious diseases, 2021-12, Vol.21 (1), p.1217-1217, Article 1217

2021

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Fair inclusion of pregnant women in clinical trials: an integrated scientific and ethical approach

Trials, 2018-01, Vol.19 (1), p.78-78, Article 78

2018

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Quality of reporting of confounding remained suboptimal after the STROBE guideline

Journal of clinical epidemiology, 2016, Vol.69, p.217-224

2016

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Serum Magnesium and Sudden Death in European Hemodialysis Patients

PloS one, 2015-11, Vol.10 (11), p.e0143104-e0143104

2015

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A cautionary note on the use of the missing indicator method for handling missing data in prediction research

Journal of clinical epidemiology, 2020-09, Vol.125, p.188-190

2020

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Global changes in mortality rates in polytrauma patients admitted to the ICU-a systematic review

World journal of emergency surgery, 2020-09, Vol.15 (1), p.55-55, Article 55

2020

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Let's Agree to Disagree on Operative versus Nonoperative (LADON) treatment for proximal humerus fractures: Study protocol for an international multicenter prospective cohort study

PloS one, 2022-02, Vol.17 (2), p.e0264477-e0264477

2022

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When drug treatments bias genetic studies: Mediation and interaction

PloS one, 2019-08, Vol.14 (8), p.e0221209-e0221209

2019

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Trial Emulation and Real-World Evidence

JAMA network open, 2021-03, Vol.4 (3), p.e213845-e213845

Groenwold, Rolf H H

2021

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Identification of causal effects in case-control studies

BMC medical research methodology, 2022-01, Vol.22 (1), p.7-7, Article 7

2022

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Selection of confounding variables should not be based on observed associations with exposure

European journal of epidemiology, 2011-08, Vol.26 (8), p.589-593

2011

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Estimating measures of interaction on an additive scale for preventive exposures

When observational studies can give wrong answers: the potential of immortal time bias

Attributable mortality of ventilator-associated pneumonia: a meta-analysis of individual patient data from randomised prevention studies

Dealing With Missing Outcome Data in Randomized Trials and Observational Studies

TREC Based Newborn Screening for Severe Combined Immunodeficiency Disease: A Systematic Review

Operative treatment versus nonoperative treatment of Achilles tendon ruptures: systematic review and meta-analysis

Challenges in the Design, Registration, and Reporting of Noninferiority Trials

Get real in individual participant data (IPD) meta-analysis: a review of the methodology

Prediction meets causal inference: the role of treatment in clinical prediction models

Series: Pragmatic trials and real world evidence: Paper 1. Introduction

Quantitative bias analysis in practice: review of software for regression with unmeasured confounding

Effects of exercise in breast cancer patients: implications of the trials within cohorts (TwiCs) design in the UMBRELLA Fit trial

Reporting of covariate selection and balance assessment in propensity score analysis is suboptimal: a systematic review

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

Incidence and mortality of necrotizing fasciitis in The Netherlands: the impact of group A Streptococcus

Fair inclusion of pregnant women in clinical trials: an integrated scientific and ethical approach

Quality of reporting of confounding remained suboptimal after the STROBE guideline

Serum Magnesium and Sudden Death in European Hemodialysis Patients

A cautionary note on the use of the missing indicator method for handling missing data in prediction research

Global changes in mortality rates in polytrauma patients admitted to the ICU-a systematic review

Let's Agree to Disagree on Operative versus Nonoperative (LADON) treatment for proximal humerus fractures: Study protocol for an international multicenter prospective cohort study

When drug treatments bias genetic studies: Mediation and interaction

Trial Emulation and Real-World Evidence

Identification of causal effects in case-control studies

Selection of confounding variables should not be based on observed associations with exposure

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