Literature DB >> 8206041

Methodologic research needs in environmental epidemiology: data analysis.

R L Prentice1, D Thomas.   

Abstract

A brief review is given of data analysis methods for the identification and quantification of associations between environmental exposures and health events of interest. Data analysis methods are outlined for each of the study designs mentioned, with an emphasis on topics in need of further research. Particularly noted are the need for improved methods for accommodating exposure assessment measurement errors in analytic epidemiologic studies and for improved methods for the conduct and analysis of aggregate data (ecologic) studies.

Mesh:

Year:  1993        PMID: 8206041      PMCID: PMC1519713          DOI: 10.1289/ehp.93101s439

Source DB:  PubMed          Journal:  Environ Health Perspect        ISSN: 0091-6765            Impact factor:   9.031


  33 in total

1.  The effects of measurement errors on relative risk regressions.

Authors:  B G Armstrong
Journal:  Am J Epidemiol       Date:  1990-12       Impact factor: 4.897

2.  Cost-efficient study designs for binary response data with Gaussian covariate measurement error.

Authors:  D Spiegelman; R Gray
Journal:  Biometrics       Date:  1991-09       Impact factor: 2.571

3.  Efficiency of cohort sampling designs: some surprising results.

Authors:  B Langholz; D C Thomas
Journal:  Biometrics       Date:  1991-12       Impact factor: 2.571

4.  Estimating equations for parameters in means and covariances of multivariate discrete and continuous responses.

Authors:  R L Prentice; L P Zhao
Journal:  Biometrics       Date:  1991-09       Impact factor: 2.571

5.  An estimate of the magnitude of random errors in the DS86 dosimetry from data on chromosome aberrations and severe epilation.

Authors:  R Sposto; D O Stram; A A Awa
Journal:  Radiat Res       Date:  1991-11       Impact factor: 2.841

6.  Dietary fat and cancer: rejoinder and discussion of research strategies.

Authors:  R L Prentice; L Sheppard
Journal:  Cancer Causes Control       Date:  1991-01       Impact factor: 2.506

7.  Does nondifferential misclassification of exposure always bias a true effect toward the null value?

Authors:  M Dosemeci; S Wacholder; J H Lubin
Journal:  Am J Epidemiol       Date:  1990-10       Impact factor: 4.897

Review 8.  Exposure measurement error: influence on exposure-disease. Relationships and methods of correction.

Authors:  D Thomas; D Stram; J Dwyer
Journal:  Annu Rev Public Health       Date:  1993       Impact factor: 21.981

9.  Estimating the error rates of diagnostic tests.

Authors:  S L Hui; S D Walter
Journal:  Biometrics       Date:  1980-03       Impact factor: 2.571

10.  The shape of the cancer mortality dose-response curve for the A-bomb survivors.

Authors:  D A Pierce; M Vaeth
Journal:  Radiat Res       Date:  1991-04       Impact factor: 2.841

View more
  2 in total

Review 1.  Surveillance in environmental public health: issues, systems, and sources.

Authors:  S B Thacker; D F Stroup; R G Parrish; H A Anderson
Journal:  Am J Public Health       Date:  1996-05       Impact factor: 9.308

2.  Incorporating individual-level distributions of exposure error in epidemiologic analyses: an example using arsenic in drinking water and bladder cancer.

Authors:  Jaymie R Meliker; Pierre Goovaerts; Geoffrey M Jacquez; Jerome O Nriagu
Journal:  Ann Epidemiol       Date:  2010-10       Impact factor: 3.797

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.