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multi-level linear regression analysis  (SAS institute)


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    SAS institute multi-level linear regression analysis
    Multi Level Linear Regression Analysis, 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/multi-linear+regression+analysis/multi+level+linear+regression+analysis/pm29998378-66-14-21
    Average 90 stars, based on 1 article reviews
    multi-level linear regression analysis - by Bioz Stars, 2026-09
    90/100 stars

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    other:

    Article Title: Impact of workplace bullying on missed nursing care and quality of care in the eldercare sector.
    Article Snippet: Purpose To analyze the long-term impact of bullying among healthcare providers (T1) on missed nursing care and quality of care 2 years later (T2) and to test the potential mediating effect of affective organizational commitment.. Methods Survey data from healthcare providers in the eldercare sector in 2006 (T1) and 2008 (T2).. At T1, 9212 employees participated in the survey and 5202 participated in both T1 and T2.



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    Multi-level linear regression coefficients for the effects of COVID-19, socio-economic-demographic characteristics, lifestyle and neighbourhood perceptions on respondents' K6.

    Journal: The Science of the Total Environment

    Article Title: Coronavirus disease 2019 (COVID-19) and psychological distress in China: Does neighbourhood matter?

    doi: 10.1016/j.scitotenv.2020.144203

    Figure Lengend Snippet: Multi-level linear regression coefficients for the effects of COVID-19, socio-economic-demographic characteristics, lifestyle and neighbourhood perceptions on respondents' K6.

    Article Snippet: The multi-level linear regression analysis is performed using STATA, version 14 for Windows.

    Techniques: Infection

    Multi-level linear regression coefficients for the moderating effects of neighbourhood perceptions and the expected duration of COVID-19 on residents' K6 status.

    Journal: The Science of the Total Environment

    Article Title: Coronavirus disease 2019 (COVID-19) and psychological distress in China: Does neighbourhood matter?

    doi: 10.1016/j.scitotenv.2020.144203

    Figure Lengend Snippet: Multi-level linear regression coefficients for the moderating effects of neighbourhood perceptions and the expected duration of COVID-19 on residents' K6 status.

    Article Snippet: The multi-level linear regression analysis is performed using STATA, version 14 for Windows.

    Techniques: