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G G Brown

Biographic Data

ID10718043
NAMEG G Brown
GIVEN NAMESG G
FAMILY NAMEBrown
SIGNATUREBROWN G G
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS34
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2002
LATEST PUBLICATION YEAR2010
H-INDEX1
  • Estimating Model-Adjusted Risks, Risk Differences, and Risk Ratios From Complex Survey Data

    G S Bieler, Gayle Bieler et al.•ARTICLE•American Journal of Epidemiology•2010

    There is increasing interest in estimating and drawing inferences about risk or prevalence ratios and differences instead of odds ratios in the regression setting. Recent publications have shown how the GENMOD procedure in SAS (SAS Institute Inc., Cary, North Carolina) can be used to estimate these parameters in non-population-based studies. In this paper, the authors show how model-adjusted risks, risk differences, and risk ratio estimates can b…

  • Testing a place-based theory for environmental evaluation

    Open Access•Greg Brown, G G Brown et al.•ARTICLE•Applied Geography•2002•Cited by: 34

  • Testing a place-based theory for environmental evaluation

    Open Access•Greg Brown, G G Brown et al.•ARTICLE•Applied Geography•2002•Cited by: 34

  • Testing a place-based theory for environmental evaluation

    Open Access•Greg Brown, G G Brown et al.•ARTICLE•Applied Geography•2002•Cited by: 34

  • Estimating Model-Adjusted Risks, Risk Differences, and Risk Ratios From Complex Survey Data

    G S Bieler, Gayle Bieler et al.•ARTICLE•American Journal of Epidemiology•2010

    There is increasing interest in estimating and drawing inferences about risk or prevalence ratios and differences instead of odds ratios in the regression setting. Recent publications have shown how the GENMOD procedure in SAS (SAS Institute Inc., Cary, North Carolina) can be used to estimate these parameters in non-population-based studies. In this paper, the authors show how model-adjusted risks, risk differences, and risk ratio estimates can b…

Categorical variable (1 work) · Confidence interval (1 work) · Covariate (1 work) · Demography (1 work) · Econometrics (1 work) · Economic and Environmental Valuation (1 work) · Environmental Education and Sustainability (1 work) · Food Security and Health in Diverse Populations (1 work) · Land Use and Ecosystem Services (1 work) · Logistic regression (1 work)

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