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random-coefficient regression model  (Mallinckrodt)

 
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    Mallinckrodt random-coefficient regression model
    Random Coefficient Regression Model, supplied by Mallinckrodt, 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/random-coefficient+regression+model/random+coefficient+regression+model/pmc04248236-117-2-63
    Average 90 stars, based on 1 article reviews
    random-coefficient regression model - by Bioz Stars, 2026-10
    90/100 stars

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    other:

    Article Title: The impact of missing data on clinical trials: A re-analysis of a placebo controlled trial of hypericum perforatum (St Johns Wort) and sertraline in Major Depressive Disorder
    Article Snippet: While the random-coefficient regression model could be appropriate if the missing data mechanism is missing completely at random or missing at random, last observation carried forward is not an appropriate way of handling missing data, because it might inflate the Type I error and creates bias in the estimation of mean change from baseline while producing standard errors that are too small ( Mallinckrodt et al. 2001 ).



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    Spearman correlations between prison population and other variables for all 26 countries.

    Journal: PLoS ONE

    Article Title: Psychiatric Hospital Bed Numbers and Prison Population Sizes in 26 European Countries: A Critical Reconsideration of the Penrose Hypothesis

    doi: 10.1371/journal.pone.0142163

    Figure Lengend Snippet: Spearman correlations between prison population and other variables for all 26 countries.

    Article Snippet: The association between prison population and covariates was modelled by means of a fixed as well as a mixed random coefficient regression model in SAS (Software Version 9.4, 2002–2012 by SAS Institute Inc., Cary, NC, USA.) by procedure “mixed”.

    Techniques: