4.4 Article

Using random-forest multiple imputation to address bias of self-reported anthropometric measures, hypertension and hypercholesterolemia in the Belgian health interview survey

Related references

Note: Only part of the references are listed.
Article Public, Environmental & Occupational Health

SuperMICE: An Ensemble Machine Learning Approach to Multiple Imputation by Chained Equations

Hannah S. Laqueur et al.

Summary: This paper proposes a data-adaptive approach to model selection for addressing missing data, using Super Learner and local kernel estimation in MICE to predict the missing values, which results in final parameter estimates with lower bias and better coverage.

AMERICAN JOURNAL OF EPIDEMIOLOGY (2022)

Article Endocrinology & Metabolism

Use and reporting of Bland-Altman analyses in studies of self-reported versus measured weight and height

Katherine M. Flegal et al.

INTERNATIONAL JOURNAL OF OBESITY (2020)

Article Mathematical & Computational Biology

A fair comparison of tree-based and parametric methods in multiple imputation by chained equations

Emily Slade et al.

STATISTICS IN MEDICINE (2020)

Article Public, Environmental & Occupational Health

The Belgian health examination survey: objectives, design and methods

Diem Nguyen et al.

ARCHIVES OF PUBLIC HEALTH (2020)

Article Public, Environmental & Occupational Health

Inequality, validity of self-reported height, and its implications for BMI estimates: An analysis of randomly selected primary sampling units' data

Alexi Gugushvili et al.

PREVENTIVE MEDICINE REPORTS (2019)

Article Public, Environmental & Occupational Health

Public health monitoring of hypertension, diabetes and elevated cholesterol: comparison of different data sources

Laura Paalanen et al.

EUROPEAN JOURNAL OF PUBLIC HEALTH (2018)

Review Peripheral Vascular Disease

Accuracy of self-reported hypertension: a systematic review and meta-analysis

Vivian S. S. Goncalves et al.

JOURNAL OF HYPERTENSION (2018)

Review Public, Environmental & Occupational Health

A comparison of measured versus self-reported anthropometrics for assessing obesity in adults: a literature review

Mirkka Maukonen et al.

SCANDINAVIAN JOURNAL OF PUBLIC HEALTH (2018)

Review Public, Environmental & Occupational Health

Epidemiologic analyses with error-prone exposures: review of current practice and recommendations

Pamela A. Shaw et al.

ANNALS OF EPIDEMIOLOGY (2018)

Article Public, Environmental & Occupational Health

Correction of self-reported BMI based on objective measurements: a Belgian experience

S. Drieskens et al.

ARCHIVES OF PUBLIC HEALTH (2018)

Article Public, Environmental & Occupational Health

European health examination surveys - a tool for collecting objective information about the health of the population

Hanna Tolonen et al.

ARCHIVES OF PUBLIC HEALTH (2018)

Article Social Sciences, Mathematical Methods

A Unified Approach to Measurement Error and Missing Data: Overview and Applications

Matthew Blackwell et al.

SOCIOLOGICAL METHODS & RESEARCH (2017)

Article Public, Environmental & Occupational Health

Accuracy of self-reported height, weight, and waist circumference in a general adult Chinese population

Shurong Lu et al.

POPULATION HEALTH METRICS (2016)

Article Public, Environmental & Occupational Health

Protocol of the Belgian food consumption survey 2014: objectives, design and methods

Sarah Bel et al.

ARCHIVES OF PUBLIC HEALTH (2016)

Article Public, Environmental & Occupational Health

Multiple Imputation to Account for Measurement Error in Marginal Structural Models

Jessie K. Edwards et al.

EPIDEMIOLOGY (2015)

Article Statistics & Probability

mice: Multivariate Imputation by Chained Equations inR

Stef van Buuren et al.

Journal of Statistical Software (2015)

Article Public, Environmental & Occupational Health

Comparison of Random Forest and Parametric Imputation Models for Imputing Missing Data Using MICE: A CALIBER Study

Anoop D. Shah et al.

AMERICAN JOURNAL OF EPIDEMIOLOGY (2014)

Article Computer Science, Interdisciplinary Applications

Recursive partitioning for missing data imputation in the presence of interaction effects

L. L. Doove et al.

COMPUTATIONAL STATISTICS & DATA ANALYSIS (2014)

Article Health Care Sciences & Services

How Accurate is Web-Based Self-Reported Height, Weight, and Body Mass Index in Young Adults?

Kirrilly Pursey et al.

JOURNAL OF MEDICAL INTERNET RESEARCH (2014)

Article Cardiac & Cardiovascular Systems

Comparison of Diagnosed, Self-Reported, and Physically-Measured Hypertension in Canada

Kristin M. Atwood et al.

CANADIAN JOURNAL OF CARDIOLOGY (2013)

Article Public, Environmental & Occupational Health

Validity of self-reported weight and height in Austrian adults: sociodemographic determinants and consequences for the classification of BMI categories

Franziska Grossschaedl et al.

PUBLIC HEALTH NUTRITION (2012)

Article Public, Environmental & Occupational Health

The influence of measurement error on calibration, discrimination, and overall estimation of a risk prediction model

Laura C. Rosella et al.

POPULATION HEALTH METRICS (2012)

Article Public, Environmental & Occupational Health

Validity of self-reported height and weight and derived body mass index in middle-aged and elderly individuals in Australia

Suan Peng Ng et al.

AUSTRALIAN AND NEW ZEALAND JOURNAL OF PUBLIC HEALTH (2011)

Article Public, Environmental & Occupational Health

Multiple Imputation for Missing Data via Sequential Regression Trees

Lane F. Burgette et al.

AMERICAN JOURNAL OF EPIDEMIOLOGY (2010)

Article Public, Environmental & Occupational Health

Comparing self-reported and measured high blood pressure and high cholesterol status using data from a large representative cohort study

Anne Taylor et al.

AUSTRALIAN AND NEW ZEALAND JOURNAL OF PUBLIC HEALTH (2010)

Article Public, Environmental & Occupational Health

Accuracy and usefulness of BMI measures based on self-reported weight and height: findings from the NHANES & NHIS 2001-2006

Manfred Stommel et al.

BMC PUBLIC HEALTH (2009)

Article Cardiac & Cardiovascular Systems

Accuracy of Self-Reported Diabetes, Hypertension and Hyperlipidemia in the Adult Spanish Population. DINO Study Findings

Jose M. Huerta et al.

REVISTA ESPANOLA DE CARDIOLOGIA (2009)

Article Environmental Sciences

Validity of Self-Reported Weight and Height of Adolescents, Its Impact on Classification into BMI-Categories and the Association with Weighing Behaviour

Tineke De Vriendt et al.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2009)

Article Peripheral Vascular Disease

The Accuracy of Self-Reported Hypertension: A Systematic Review and Meta-Analysis

Sarah Connor Gorber et al.

CURRENT HYPERTENSION REVIEWS (2008)

Article Endocrinology & Metabolism

Comparison of self-reported and measured BMI as correlates of disease markers in US adults

Mara A. McAdams et al.

OBESITY (2007)

Article Public, Environmental & Occupational Health

Exposure-measurement error is frequently ignored when interpreting epidemiologic study results

Anne M. Jurek et al.

EUROPEAN JOURNAL OF EPIDEMIOLOGY (2006)

Article Public, Environmental & Occupational Health

Multiple-imputation for measurement-error correction

Stephen R. Cole et al.

INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2006)

Article Public, Environmental & Occupational Health

Self-report of high cholesterol - Determinants of validity in US adults

S Natarajan et al.

AMERICAN JOURNAL OF PREVENTIVE MEDICINE (2002)