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ordinal logistic regression model  (SAS institute)


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    SAS institute ordinal logistic regression model
    Ordinal Logistic Regression Model, 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/ordinal+logistic+regression+model/ordinal+logistic+regression/pm40399670-613-36-44
    Average 90 stars, based on 1 article reviews
    ordinal logistic regression model - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Headache impact of chronic and episodic migraine: results from the American Migraine Prevalence and Prevention study.
    Article Snippet: Background.—The Headache Impact Test-6 (HIT-6) has been demonstrated to be a reliable and valid measure that assesses the impact of headaches on the lives of persons with migraine.. Originally used in studies of episodic migraine (EM), HIT-6 is finding increasing applications in chronic migraine (CM) research.. Objectives.—(1) To examine the headache-impact on persons with migraine (EM and CM) using HIT-6 in a large population sample; (2) to identify predictors of headache-impact in this sample; (3) to assess the magnitude of effect for significant predictors of headache-impact in this sample.

    Article Title: The Effect of Fibromyalgia and Widespread Pain on the Clinically Significant Temporomandibular Muscle and Joint Pain Disorders - A Prospective 18-Month Cohort Study
    Article Snippet: An ordinal logistic regression model was used (PROC GENMOD, SAS) with multinomial outcome data to assess the predictors for the onset and persistence of clinically significant TMJD pain over an 18 month period.

    Article Title: Body condition score of Nellore beef cows: a heritable measure to improve the selection of reproductive and maternal traits
    Article Snippet: Due to the ordinal nature of BCS, significant effects identified in the previous analyses were included as fixed effects in an ordinal logistic regression model, fitted using the LOGISTIC procedure of SAS (SAS Institute Inc., version 9.0).

    Article Title: Interobserver variation in the histopathological assessment of nonalcoholic steatohepatitis.
    Article Snippet: Pathological assessment is considered as the gold standard for the diagnosis of nonalcoholic steatohepatitis (NASH).. However, there is no agreement of histological features required for the diagnosis of NASH.. In the present study, eight experienced hepatopathologists read liver biopsy specimen slides of 21 cases of NASH and suspected NASH independently and were asked to assess histopathological features and render a diagnosis.

    Article Title: Development of a Computer-Adaptive Physical Function Instrument for Social Security Administration Disability Determination
    Article Snippet: We carried out the DIF analysis using the ordinal logistic regression model in SAS, 19 in which the item response was modeled on the summed score of the all items in the item bank and on the variable of interest (i.e., age (<51, or >=51), sex).

    Article Title: A Randomized Clinical Trial Comparing Low-Glycemic Index versus ADA Dietary Education among Individuals with Type 2 Diabetes
    Article Snippet: Since the direction and magnitude of associations for both discontinuation or lower dose (−1) versus no change (0), adding new drug or increase dose (+1) versus no change (0) are the same range, we pooled the data to fit an ordinal logistic regression model for medication change, assuming proportional odds ratios across the categories. table ft1 table-wrap mode=article t1 caption a4 Subjects with medication changes during the study All analyses were performed using SAS (version 9.13; SAS Institute Inc., Cary, NC).

    Article Title: Evaluating dose response from flexible dose clinical trials
    Article Snippet: Weighted analysis (marginal structural models) To evaluate differences between different dose levels, we implemented a 2-step IPTW MSM scheme. (1) Construction of weights We applied an ordinal logistic regression model (proc GENMOD in SAS 8.02) to data pooled from all the patients records (i.e. considering each patient-visit as an "independent" observation) within each trial to estimate probabilities of receiving a dose that was actually received by each patient during each visit interval, given the recent history of dosage and past treatment outcome (see Table 2).

    Control:

    Article Title: In vivo screen of Plasmodium targets for mosquito-based malaria control.
    Article Snippet: .. IFAs, the numbers of each stage of parasite development (1, zygote; 2, retort; 3, ookinete) detected in midguts (1 pool of 10 midguts; 5 biological replicates) of treated mosquitoes at 20–22 h.p.i. were analysed using an ordinal logistic regression model in JMP Pro 17 (SAS Institute), incorporating ‘treatment’ (control (DMSO), cipargamin, M5717 or ELQ-613) and ‘mosquito sample’ (nested within treatment). ..



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