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iterative expectation-maximization (em) algorithm  (SAS institute)


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    SAS institute iterative expectation-maximization (em) algorithm
    Iterative Expectation Maximization (Em) Algorithm, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/expectation-maximization+(em)+algorithm/expectation+maximization++em++algorithm/pmc10071823-197-43-35
    Average 90 stars, based on 1 article reviews
    iterative expectation-maximization (em) algorithm - by Bioz Stars, 2026-11
    90/100 stars

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    Article Title: Do young people benefit from AA as much, and in the same ways, as adult aged 30+? A moderated multiple mediation analysis.
    Article Snippet: Background: Research has shown that participation in Alcoholics Anonymous (AA) confers significant recovery benefit to adults suffering from alcohol use disorder (AUD).. Concerns persist, however, that AA may not work as well for younger adults, who tend to have shorter addiction histories, different social circumstances, and less spiritual/religious interest than adults.. Methods: Secondary data analysis of Project MATCH, using a prospective, moderated multiple mediation analysis to test and compare six previously identified mechanisms of change in younger adults (n = 266) vs. adults aged 30+ (n = 1460).

    Article Title: A Peer-Led High School Transition Program Increases Graduation Rates Among Latino Males
    Article Snippet: Missing data at baseline were imputed using the Expectation-Maximization (EM) algorithm approach to imputation in SAS version 9.1 under the assumption that missing data occurred at random.

    Article Title: Clusters of Psychological Symptoms in Breast Cancer
    Article Snippet: Author Affiliations: School of Psychology, Université Laval; CHUdeQuébecUniversité Laval Research Center; and Université Laval Cancer Research Center, Québec, Canada.. This study was supported by scholarships from the Fonds de recherche du Québec–Santé and from the Psychosocial Oncology Research Training Program (Canadian Institutes of Health Research) held by the first author.. The autho Correspond Center, 11 Côt Accepted f DOI: 10.1

    Article Title: Does abstaining from alcohol in high school moderate intervention effects for college students? Implications for tiered intervention strategies
    Article Snippet: For the analysis reported in , a single imputed data set was obtained using the expectation–maximization algorithm in SAS version 9 ( ).

    Article Title: Do young people benefit from AA as much, and in the same ways, as adult aged 30+? A moderated multiple mediation analysis
    Article Snippet: To address missing data, we used the maximum likelihood estimation approach ( Schafer and Graham, 2002 ), where we first estimated the variance-covariance matrix using all available data points (using the iterative expectation-maximization (EM) algorithm [SAS 9.3 Proc MI]), and then used this matrix as the input data for fitting the structural equation models.

    Article Title: Efficacy and tolerability of an undenatured type II collagen supplement in modulating knee osteoarthritis symptoms: a multicenter randomized, double-blind, placebo-controlled study
    Article Snippet: For iAUC estimation, missing values were imputed using the expectation-maximization algorithm in SAS.

    Article Title: Personality as a predictor of well-being in a randomized trial of a mindfulness-based stress reduction of Danish women with breast cancer.
    Article Snippet: Purpose: Many clinical interventions have been designed to improve psychological well-being in women with breast cancer; however, there are individual differences in the extent of benefit across participants.. Mindfulness-Based Stress Reduction (MBSR) is a structured 8-week intervention that has been shown to reduce depression and anxiety for patients with breast cancer.. Personality factors may influence which participants benefit more from various psychological interventions, including MBSR.

    Article Title: All-cause mortality effects of replacing sedentary time with physical activity and sleeping using an isotemporal substitution model: a prospective study of 201,129 mid-aged and older adults
    Article Snippet: In summary, we used multiple imputation (SAS 9.3, Proc MI) and the Expectation-Maximisation algorithm (30 imputations) [ ] to impute missing data for the 13,053 participants who had at least one of the time-dependant behavioural variables.



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