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public use microdata sample (pums) from acs  (MicroData Instrument Inc)

 
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    MicroData Instrument Inc public use microdata sample (pums) from acs
    Details of the data analyzed using our proposed Bayesian hierarchical model for combining sources at multiple spatial resolutions.
    Public Use Microdata Sample (Pums) From Acs, supplied by MicroData Instrument Inc, 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/public+use+microdata+sample+%28pums%29+from+acs/pmc10395946-12-19-15?v=MicroData+Instrument+Inc
    Average 90 stars, based on 1 article reviews
    public use microdata sample (pums) from acs - by Bioz Stars, 2026-07
    90/100 stars

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    1) Product Images from "Combining aggregate and individual-level data to estimate individual-level associations between air pollution and COVID-19 mortality in the United States"

    Article Title: Combining aggregate and individual-level data to estimate individual-level associations between air pollution and COVID-19 mortality in the United States

    Journal: PLOS Global Public Health

    doi: 10.1371/journal.pgph.0002178

    Details of the data analyzed using our proposed Bayesian hierarchical model for combining sources at multiple spatial resolutions.
    Figure Legend Snippet: Details of the data analyzed using our proposed Bayesian hierarchical model for combining sources at multiple spatial resolutions.

    Techniques Used:

    Characteristics of the study cohort. For census tract-level data, the mean and standard deviation across all US census tracts is calculated weighted by the populations in the census tracts. For county-level data, the mean and standard deviation across all US counties is calculated. For individual-level categorical data, the percent of individuals in each category is calculated. For individual-level continuous data, the mean and standard deviation across all individuals in the Public Use Microdata Sample is calculated, using accompanying sampling weights provided by American Community Survey (ACS). Other race denotes races other than White and Black.
    Figure Legend Snippet: Characteristics of the study cohort. For census tract-level data, the mean and standard deviation across all US census tracts is calculated weighted by the populations in the census tracts. For county-level data, the mean and standard deviation across all US counties is calculated. For individual-level categorical data, the percent of individuals in each category is calculated. For individual-level continuous data, the mean and standard deviation across all individuals in the Public Use Microdata Sample is calculated, using accompanying sampling weights provided by American Community Survey (ACS). Other race denotes races other than White and Black.

    Techniques Used: Standard Deviation, Sampling



    Similar Products

    public use microdata sample (pums) from acs  (MicroData Instrument Inc)
    90
    MicroData Instrument Inc public use microdata sample (pums) from acs
    Details of the data analyzed using our proposed Bayesian hierarchical model for combining sources at multiple spatial resolutions.
    Public Use Microdata Sample (Pums) From Acs, supplied by MicroData Instrument Inc, 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/public+use+microdata+sample+%28pums%29+from+acs/pmc10395946-12-19-15?v=MicroData+Instrument+Inc
    Average 90 stars, based on 1 article reviews
    public use microdata sample (pums) from acs - by Bioz Stars, 2026-07
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Details of the data analyzed using our proposed Bayesian hierarchical model for combining sources at multiple spatial resolutions.

    Journal: PLOS Global Public Health

    Article Title: Combining aggregate and individual-level data to estimate individual-level associations between air pollution and COVID-19 mortality in the United States

    doi: 10.1371/journal.pgph.0002178

    Figure Lengend Snippet: Details of the data analyzed using our proposed Bayesian hierarchical model for combining sources at multiple spatial resolutions.

    Article Snippet: Poverty, high school graduation, owner-occupied, age, sex, race, household income, house value , Public Use Microdata Sample (PUMS) from ACS , A nationally representative sample of ACS responses, combined from years 2015–2019, which includes individual-level and household-level variables..

    Techniques:

    Characteristics of the study cohort. For census tract-level data, the mean and standard deviation across all US census tracts is calculated weighted by the populations in the census tracts. For county-level data, the mean and standard deviation across all US counties is calculated. For individual-level categorical data, the percent of individuals in each category is calculated. For individual-level continuous data, the mean and standard deviation across all individuals in the Public Use Microdata Sample is calculated, using accompanying sampling weights provided by American Community Survey (ACS). Other race denotes races other than White and Black.

    Journal: PLOS Global Public Health

    Article Title: Combining aggregate and individual-level data to estimate individual-level associations between air pollution and COVID-19 mortality in the United States

    doi: 10.1371/journal.pgph.0002178

    Figure Lengend Snippet: Characteristics of the study cohort. For census tract-level data, the mean and standard deviation across all US census tracts is calculated weighted by the populations in the census tracts. For county-level data, the mean and standard deviation across all US counties is calculated. For individual-level categorical data, the percent of individuals in each category is calculated. For individual-level continuous data, the mean and standard deviation across all individuals in the Public Use Microdata Sample is calculated, using accompanying sampling weights provided by American Community Survey (ACS). Other race denotes races other than White and Black.

    Article Snippet: Poverty, high school graduation, owner-occupied, age, sex, race, household income, house value , Public Use Microdata Sample (PUMS) from ACS , A nationally representative sample of ACS responses, combined from years 2015–2019, which includes individual-level and household-level variables..

    Techniques: Standard Deviation, Sampling