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The purpose of this article is to demonstrate the advantages of using the mixed model for analyzing nonlinear, longitudinal datasets with multiple missing data points by comparing the mixed model to the widely used repeated measures ANOVA using an experimental set of data. The decision-making steps in analyzing the data using both the mixed model and the repeated measures ANOVA are described.</jats:p>","journal":"Biological Research For Nursing","year":2004,"id":592957,"datarank":14.471976135016618,"base_score":6.333279628139691,"endowment":6.333279628139691,"self_citation_contribution":0.9499919442209537,"citation_network_contribution":13.521984190795665,"self_endowment_contribution":0.9499919442209537,"citer_contribution":13.521984190795665,"corpus_percentile":null,"corpus_rank":null,"citation_count":562,"citer_count":200,"citers_with_citation_signal":200,"citers_with_endowment":200,"datacite_reuse_total":8,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":123571,"name":"Lili Tian","orcid":null,"position":1,"is_corresponding":false},{"id":1517459,"name":"Charlene Krueger","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"A Comparison of the General Linear Mixed Model and Repeated Measures ANOVA Using a Dataset with Multiple Missing Data Points","abstract":"<jats:p>Longitudinal methods are the methods of choice for researchers who view their phenomena of interest as dynamic. Although statistical methods have remained largely fixed in a linear view of biology and behavior, more recent methods, such as the general linear mixed model (mixed model), can be used to analyze dynamic phenomena that are often of interest to nurses. Two strengths of the mixed model are (1) the ability to accommodate missing data points often encountered in longitudinal datasets and (2) the ability to model nonlinear, individual characteristics. The purpose of this article is to demonstrate the advantages of using the mixed model for analyzing nonlinear, longitudinal datasets with multiple missing data points by comparing the mixed model to the widely used repeated measures ANOVA using an experimental set of data. The decision-making steps in analyzing the data using both the mixed model and the repeated measures ANOVA are described.</jats:p>","is_dataset_classified":null,"base_score":6.333279628139691,"endowment":6.333279628139691,"datacite_reuse_total":8,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"15388912","pmcid":null,"openalex_id":"https://openalex.org/W2113087290","authors":[],"funders":[],"total_grants":0,"fwci":2.1237,"citation_percentile":0.88538074,"influential_citations":14,"citation_trend":[{"year":2012,"count":11},{"year":2013,"count":17},{"year":2014,"count":19},{"year":2015,"count":23},{"year":2016,"count":34},{"year":2017,"count":30},{"year":2018,"count":36},{"year":2019,"count":44},{"year":2020,"count":47},{"year":2021,"count":58},{"year":2022,"count":52},{"year":2023,"count":33},{"year":2024,"count":57},{"year":2025,"count":44},{"year":2026,"count":24}],"oa_status":"closed","license":"https://journals.sagepub.com/page/policies/text-and-data-mining-license","oa_locations":[{"url":"https://journals.sagepub.com/doi/pdf/10.1177/1099800404267682","host_type":"BRONZE"},{"url":"https://doi.org/10.1177/1099800404267682","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/15388912","host_type":"repository"},{"url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.923.3015","host_type":""}],"fields_of_study":["Statistical Methods and Bayesian Inference","Medicine","Mathematics","Biology"],"mesh_terms":["Analysis of Variance","Female","Heart Rate, Fetal","Humans","Longitudinal Studies","Pregnancy","Linear Models"],"keywords":["Mixed model","Repeated measures design","Generalized linear mixed model","Missing data","Linear model","Mixed-design analysis of variance","Data set","Longitudinal data","Computer science","Set (abstract data type)","Statistics","Analysis of variance","Random effects model","General linear model","Nonlinear system","Mathematics","Data mining","Artificial intelligence","Machine learning","Medicine"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Peace, Justice and strong institutions"}],"linked_datasets":[{"doi":"10.6084/m9.figshare.25963055.v1","title":"Additional file 1 of Probing a neural unreliability account of auditory sensory processing atypicalities in Rett Syndrome","publisher":"figshare","resource_type":"JournalArticle"},{"doi":"10.6084/m9.figshare.25963055","title":"Additional file 1 of Probing a neural unreliability account of auditory sensory processing atypicalities in Rett Syndrome","publisher":"figshare","resource_type":"JournalArticle"},{"doi":"10.6084/m9.figshare.13297329","title":"Additional file 2 of Ultrasound shear wave elastography for assessing diaphragm function in mechanically ventilated patients: a breath-by-breath analysis","publisher":"figshare","resource_type":"Dataset"},{"doi":"10.6084/m9.figshare.13297326.v1","title":"Additional file 1 of Ultrasound shear wave elastography for assessing diaphragm function in mechanically ventilated patients: a breath-by-breath analysis","publisher":"figshare","resource_type":"Image"},{"doi":"10.6084/m9.figshare.13297326","title":"Additional file 1 of Ultrasound shear wave elastography for assessing diaphragm function in mechanically ventilated patients: a breath-by-breath analysis","publisher":"figshare","resource_type":"Image"},{"doi":"10.6084/m9.figshare.13297332","title":"Additional file 3 of Ultrasound shear wave elastography for assessing diaphragm function in mechanically ventilated patients: a breath-by-breath analysis","publisher":"figshare","resource_type":"Image"},{"doi":"10.6084/m9.figshare.13297332.v1","title":"Additional file 3 of Ultrasound shear wave elastography for assessing diaphragm function in mechanically ventilated patients: a breath-by-breath analysis","publisher":"figshare","resource_type":"Image"},{"doi":"10.6084/m9.figshare.13297329.v1","title":"Additional file 2 of Ultrasound shear wave elastography for assessing diaphragm function in mechanically ventilated patients: a breath-by-breath analysis","publisher":"figshare","resource_type":"Dataset"}],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-07-26T16:23:40.381226Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}