Arq. Bras. Cardiol. 2019; 113(6): 1155-1157

Longitudinal Data and Correlated Measures Bias: The Alternative of Mixed Models

Johnnatas Mikael Lopes, ORCID logo , Marcello Barbosa O.G. Guedes,, Rafael Limeira Cavalcanti,, Clecio Gabriel de Souza

DOI: 10.36660/abc.20190601

Longitudinal studies have two important data typologies: single outcomes or repeated measures. Single outcome, such as death or disease onset, should have a different data treatment than those studies with repeated measures outcome. But, they have in common the detection of changes over time and the contributing factors for this change. Cohort differs from cross-sectional studies that desire only variables relationshiP , without causal effect.

Fernandes et al. wrote an article entitled The RelationshiP between Lifestyle and Costs Related to Medicine Use in Adults, published in this journal, volume 112, number 6, 2019, and they used behavioral independent variables to estimate their effects on drug costs outcome, collected as repeated measurements in a prospective cohort design.

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Longitudinal Data and Correlated Measures Bias: The Alternative of Mixed Models

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