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Combinations of techniques that effectively change health behavior: Evidence from Meta-CART analysis.

Objective: Many health-promoting interventions combine multiple behavior change techniques (BCTs) to maximize effectiveness. Although, in theory, BCTs can amplify each other, the available meta-analyses have not been able to identify specific …

Curve matching: A data-driven technique to improve individual prediction of childhood growth

Doubly Robust Imputation of Incomplete Binary Longitudinal Data

Dual imputation model for incomplete longitudinal data.

Missing values are a practical issue in the analysis of longitudinal data. Multiple imputation (MI) is a well-known likelihood-based method that has optimal properties in terms of efficiency and consistency if the imputation model is correctly …

Estimation of caries experience by multiple imputation and direct standardization.

Valid estimates of caries experience are needed to monitor oral population health. Obtaining such estimates in practice is often complicated by nonresponse and missing data. The goal of this study was to estimate caries experiences in a population of …

Growth charts of human development.

This article reviews and compares two types of growth charts for tracking human development over age. Both charts assume the existence of a continuous latent variable, but relate to the observed data in different ways. The D-score diagram summarizes …

Improving the Individual Work Performance Questionnaire using Rasch analysis.

Recently, the Individual Work Performance Questionnaire (IWPQ) version 0.2 was developed using Rasch analysis. The goal of the current study was to improve targeting of the IWPQ scales by including additional items. The IWPQ 0.2 (original) and 0.3 …

Nederland is het land van de reuzen

Pooling multiple imputations when the sample happens to be the population

Predictive mean matching imputation of semicontinuous variables