Analyzing clustered continuous response variables with ordinal regression models.

ABSTRACT: Continuous response data are regularly transformed to meet regression modeling assumptions. However, approaches taken to identify the appropriate transformation can be ad hoc and can increase model uncertainty. Further, the resulting transformations often vary across studies leading to difficulties with synthesizing and interpreting results. When a continuous response variable is measured repeatedly within individuals or when continuous responses arise from clusters, analyses have the additional challenge caused by within-individual or within-cluster correlations. We extend a widely used ordinal regression model, the cumulative probability model (CPM), to fit clustered, continuous response data using generalized estimating equations for ordinal responses. With the proposed approach, estima

SUBMITTER: Tian Y 

PROVIDER: S-EPMC10792095 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature