Matthew J Hayat1, Haley Hedlin. 1. College of Nursing, Rutgers University, Newark, New Jersey 07102, USA. matt.hayat@rutgers.edu
Abstract
BACKGROUND: Researchers often describe the collection of repeated measurements on each individual in a study design. Advanced statistical methods, namely, mixed and marginal models, are the preferred analytic choices for analyzing this type of data. OBJECTIVE: The aim was to provide a conceptual understanding of these modeling techniques. APPROACH: An understanding of mixed models and marginal models is provided via a thorough exploration of the methods that have been used historically in the biomedical literature to summarize and make inferences about this type of data. The limitations are discussed, as is work done on expanding the classic linear regression model to account for repeated measurements taken on an individual, leading to the broader mixed-model framework. RESULTS: A description is provided of a variety of common types of study designs and data structures that can be analyzed using a mixed model and a marginal model. DISCUSSION: This work provides an overview of advanced statistical modeling techniques used for analyzing the many types of correlated .data collected in a research study.
BACKGROUND: Researchers often describe the collection of repeated measurements on each individual in a study design. Advanced statistical methods, namely, mixed and marginal models, are the preferred analytic choices for analyzing this type of data. OBJECTIVE: The aim was to provide a conceptual understanding of these modeling techniques. APPROACH: An understanding of mixed models and marginal models is provided via a thorough exploration of the methods that have been used historically in the biomedical literature to summarize and make inferences about this type of data. The limitations are discussed, as is work done on expanding the classic linear regression model to account for repeated measurements taken on an individual, leading to the broader mixed-model framework. RESULTS: A description is provided of a variety of common types of study designs and data structures that can be analyzed using a mixed model and a marginal model. DISCUSSION: This work provides an overview of advanced statistical modeling techniques used for analyzing the many types of correlated .data collected in a research study.
Authors: Emily A Simonds; Katrina Arlene P Gobenciong; Jonathan E Wilson; Michael R Jiroutek; Nicole R Nugent; Miranda A L van Tilburg Journal: Children (Basel) Date: 2022-06-25
Authors: François Boudreau; Michel Jean Louis Walthouwer; Hein de Vries; Gilles R Dagenais; Ginette Turbide; Anne-Sophie Bourlaud; Michel Moreau; José Côté; Paul Poirier Journal: BMC Public Health Date: 2015-10-09 Impact factor: 3.295
Authors: Evert P M Karregat; Jelle C L Himmelreich; Wim A M Lucassen; Wim B Busschers; Henk C P M van Weert; Ralf E Harskamp Journal: Fam Pract Date: 2021-03-29 Impact factor: 2.267