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glm procedure of sigmaplot 10.0 statistical software  (SYSTAT)


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    SYSTAT glm procedure of sigmaplot 10.0 statistical software
    Glm Procedure Of Sigmaplot 10.0 Statistical Software, supplied by SYSTAT, 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/glm+procedure+of+sigmaplot+10%2E0+statistical+software/glm+procedure+of+sigmaplot+10+0+statistical+software/pm38976004-34-87-96
    Average 90 stars, based on 1 article reviews
    glm procedure of sigmaplot 10.0 statistical software - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Biomarker Discovery:

    Article Title: The influence of electronic reminders on recording diagnoses in a primary health care emergency department: a register-based study in a Finnish town
    Article Snippet: The rate of change in diagnosis recording was analyzed by using a general linear model of regression analysis allowing us to detect the mean change in the rate of recorded diagnoses (%/month) and its standard error of the mean (SEM) before, at the beginning of the intervention and at the stable state of the intervention (GLM procedure of SigmaPlot 10.0 Statistical Software, Systat Software Inc., Richmond, CA).

    Article Title: The effect of electronic reminders on the recording of diagnoses in primary care: A quasi-experimental before and after study
    Article Snippet: The rate of change in diagnosis marking was analyzed by using a general linear model of regression analysis, which allowed us to detect the mean change in the rate of marking diagnoses (%/month) and its standard error of mean (SEM) before and after the intervention (GLM procedure of SigmaPlot 10.0 Statistical Software, Systat Software Inc., Richmond, CA, USA).

    Article Title: A Competition between Care Teams Improved Recording of Diagnoses in Primary Dental Care: A Longitudinal Follow-Up Study
    Article Snippet: The rate of change in diagnosis marking in Espoo primary care was analyzed with a regression analysis followed by t -test (GLM procedure of SigmaPlot 10.0 Statistical Software, Systat Software Inc., Richmond, CA, USA) and these rates were compared with t -test [ ].

    Article Title: A Primary Care Emergency Service Reduction Did Not Increase Office-Hour Service Use: A Longitudinal Follow-up Study
    Article Snippet: The rate of change in numbers of visits to monthly office-hour GPs and mortality in different age groups were analyzed using regression analysis followed by t -test (GLM procedure of SigmaPlot 10.0 Statistical Software, Systat Software Inc, Richmond, CA, USA).

    Article Title: A comparison of the effects of electronic reminders and group bonuses on the recording of diagnoses in primary care: a longitudinal follow-up study
    Article Snippet: The rate of change in diagnosis marking was analyzed using regression analysis followed by t test (GLM procedure of SigmaPlot 10.0 Statistical Software, Systat Software Inc., Richmond, CA, USA) [ ].

    Article Title: Development of The Use of Primary Health Care Emergency Departments After Interventions Aimed At Decreasing Overcrowding: A Longitudinal Follow-up Study
    Article Snippet: Statistical analyses The rates and the directions of change in numbers of all studied parameters, i.e. the rates of development in different patient groups, were analyzed using regression analysis followed by t-test (GLM procedure of SigmaPlot 10.0 Statistical Software, Systat Software Inc., Richmond, CA, USA) [7–9].

    Article Title: Development of the use of primary health care emergency departments after interventions aimed at decreasing overcrowding: a longitudinal follow-up study
    Article Snippet: The rates and the directions of change in numbers of all studied parameters, i.e. the rates of development in different patient groups, were analyzed using regression analysis followed by t-test (GLM procedure of SigmaPlot 10.0 Statistical Software, Systat Software Inc., Richmond, CA, USA) [ – ].

    Article Title: Changes in location and number of nurse consultations as the supply of general practitioners decreases in primary health care: six-year register-based follow-up cohort study in the city of Vantaa, Finland.
    Article Snippet: the number of nurse consultations were analysed using the Kruskal–Wallis test (nonparametric aNOVa) and repeated measurements (RM-aNOVa), followed by tukey’s post-hoc test. these tests were chosen due to the nature of data; as the number of consultations varied across different months. consequently, comparisons between years had to be conducted by comparing corresponding months. the results were expressed as medians and interquartile ranges (iQR) from 25% to 75%. the rate of change, that is, the trends in the numbers of practical and registered nurse consultations, was analysed using regression analysis (GlM procedure of sigmaPlot 10.0 statistical software, systat software inc, Richmond, ca, Usa). the GlM model enabled us to calculate the mean slope (cofactor a) of the development of the monthly number of the office-hour and eD patient consultations with nurses per 1000 inhabitants, along with its standard error of the mean (seM). then comparisons were performed using the t-test to detect whether the slope increased or decreased statistically significantly. this allowed trend analysis to determine the direction in which the monthly consultation numbers were developing.

    Software:

    Article Title: The influence of electronic reminders on recording diagnoses in a primary health care emergency department: a register-based study in a Finnish town
    Article Snippet: The rate of change in diagnosis recording was analyzed by using a general linear model of regression analysis allowing us to detect the mean change in the rate of recorded diagnoses (%/month) and its standard error of the mean (SEM) before, at the beginning of the intervention and at the stable state of the intervention (GLM procedure of SigmaPlot 10.0 Statistical Software, Systat Software Inc., Richmond, CA).

    Article Title: The effect of electronic reminders on the recording of diagnoses in primary care: A quasi-experimental before and after study
    Article Snippet: The rate of change in diagnosis marking was analyzed by using a general linear model of regression analysis, which allowed us to detect the mean change in the rate of marking diagnoses (%/month) and its standard error of mean (SEM) before and after the intervention (GLM procedure of SigmaPlot 10.0 Statistical Software, Systat Software Inc., Richmond, CA, USA).

    Article Title: A Competition between Care Teams Improved Recording of Diagnoses in Primary Dental Care: A Longitudinal Follow-Up Study
    Article Snippet: The rate of change in diagnosis marking in Espoo primary care was analyzed with a regression analysis followed by t -test (GLM procedure of SigmaPlot 10.0 Statistical Software, Systat Software Inc., Richmond, CA, USA) and these rates were compared with t -test [ ].

    Article Title: A Primary Care Emergency Service Reduction Did Not Increase Office-Hour Service Use: A Longitudinal Follow-up Study
    Article Snippet: The rate of change in numbers of visits to monthly office-hour GPs and mortality in different age groups were analyzed using regression analysis followed by t -test (GLM procedure of SigmaPlot 10.0 Statistical Software, Systat Software Inc, Richmond, CA, USA).

    Article Title: A comparison of the effects of electronic reminders and group bonuses on the recording of diagnoses in primary care: a longitudinal follow-up study
    Article Snippet: The rate of change in diagnosis marking was analyzed using regression analysis followed by t test (GLM procedure of SigmaPlot 10.0 Statistical Software, Systat Software Inc., Richmond, CA, USA) [ ].

    Article Title: Development of The Use of Primary Health Care Emergency Departments After Interventions Aimed At Decreasing Overcrowding: A Longitudinal Follow-up Study
    Article Snippet: Statistical analyses The rates and the directions of change in numbers of all studied parameters, i.e. the rates of development in different patient groups, were analyzed using regression analysis followed by t-test (GLM procedure of SigmaPlot 10.0 Statistical Software, Systat Software Inc., Richmond, CA, USA) [7–9].

    Article Title: Development of the use of primary health care emergency departments after interventions aimed at decreasing overcrowding: a longitudinal follow-up study
    Article Snippet: The rates and the directions of change in numbers of all studied parameters, i.e. the rates of development in different patient groups, were analyzed using regression analysis followed by t-test (GLM procedure of SigmaPlot 10.0 Statistical Software, Systat Software Inc., Richmond, CA, USA) [ – ].

    Article Title: Changes in location and number of nurse consultations as the supply of general practitioners decreases in primary health care: six-year register-based follow-up cohort study in the city of Vantaa, Finland.
    Article Snippet: the number of nurse consultations were analysed using the Kruskal–Wallis test (nonparametric aNOVa) and repeated measurements (RM-aNOVa), followed by tukey’s post-hoc test. these tests were chosen due to the nature of data; as the number of consultations varied across different months. consequently, comparisons between years had to be conducted by comparing corresponding months. the results were expressed as medians and interquartile ranges (iQR) from 25% to 75%. the rate of change, that is, the trends in the numbers of practical and registered nurse consultations, was analysed using regression analysis (GlM procedure of sigmaPlot 10.0 statistical software, systat software inc, Richmond, ca, Usa). the GlM model enabled us to calculate the mean slope (cofactor a) of the development of the monthly number of the office-hour and eD patient consultations with nurses per 1000 inhabitants, along with its standard error of the mean (seM). then comparisons were performed using the t-test to detect whether the slope increased or decreased statistically significantly. this allowed trend analysis to determine the direction in which the monthly consultation numbers were developing.



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