Do Missing Values Influence Outcomes in a Cross-sectional Mail Survey?

Novotny, Paul J; Schroeder, Darrell; Sloan, Jeff A; Mazza, Gina L; Williams, David; Bradley, David; Haller, Irina V; Bradley, Steven M; Croghan, Ivana

Novotny, Paul J; Schroeder, Darrell; Sloan, Jeff A; Mazza, Gina L; Williams, David; Bradley, David; Haller, Irina V; Bradley, Steven M; Croghan, Ivana.

Affiliation

Novotny PJ; Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN.
Schroeder D; Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN.
Sloan JA; Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN.
Mazza GL; Division of Biomedical Statistics and Informatics, Mayo Clinic, Scottsdale, AZ.
Williams D; Department of Anesthesiology, University of Michigan, Ann Arbor, MN.
Bradley D; Diabetes and Metabolism Research Center, Division of Endocrinology, Diabetes and Metabolism, Department of Internal Medicine, The Ohio State University, Columbus, MN.
Haller IV; Essentia Institute of Rural Health, Essential Health, Duluth, MN.
Bradley SM; Center for Healthcare Delivery Innovation, Minneapolis Heart Institute, Minneapolis Heart Institute Foundation, Minneapolis, MN.
Croghan I; Department of Medicine, Mayo Clinic, Rochester, MN.

Mayo Clin Proc Innov Qual Outcomes ; 5(1): 84-93, 2021 Feb.

Article in En | MEDLINE | ID: mdl-33718787

Key words

BMI, body mass index; MAR, missing at random; MCAR, missing completely at random; MCMC, Markov chain Monte Carlo; MNAR, missing not at random; OR, odds ratio

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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Observational_studies / Prevalence_studies / Prognostic_studies Language: En Journal: Mayo Clin Proc Innov Qual Outcomes Year: 2021 Document type: Article Affiliation country: Mongolia Country of publication: Países Bajos

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