Literature DB >> 20057922

The Combination of Ecological and Case-Control Data.

Sebastien J-P A Haneuse1, Jonathan C Wakefield.   

Abstract

Ecological studies, in which data are available at the level of the group, rather than at the level of the individual, are susceptible to a range of biases due to their inability to characterize within-group variability in exposures and confounders. In order to overcome these biases, we propose a hybrid design in which ecological data are supplemented with a sample of individual-level case-control data. We develop the likelihood for this design and illustrate its benefits via simulation, both in bias reduction when compared to an ecological study, and in efficiency gains relative to a conventional case-control study. An interesting special case of the proposed design is the situation where ecological data are supplemented with case-only data. The design is illustrated using a dataset of county-specific lung cancer mortality rates in the state of Ohio from 1988.

Entities:  

Year:  2008        PMID: 20057922      PMCID: PMC2802495          DOI: 10.1111/j.1467-9868.2007.00628.x

Source DB:  PubMed          Journal:  J R Stat Soc Series B Stat Methodol        ISSN: 1369-7412            Impact factor:   4.488


  15 in total

1.  Biases in ecological studies: utility of including within-area distribution of confounders.

Authors:  V Lasserre; C Guihenneuc-Jouyaux; S Richardson
Journal:  Stat Med       Date:  2000-01-15       Impact factor: 2.373

2.  Ecologic versus individual-level sources of bias in ecologic estimates of contextual health effects.

Authors:  S Greenland
Journal:  Int J Epidemiol       Date:  2001-12       Impact factor: 7.196

3.  Incorporating group-level exposure information in case-control studies with missing data on dichotomous exposures.

Authors:  Ulf Strömberg; Jonas Björk
Journal:  Epidemiology       Date:  2004-07       Impact factor: 4.822

4.  Divergent biases in ecologic and individual-level studies.

Authors:  S Greenland
Journal:  Stat Med       Date:  1992-06-30       Impact factor: 2.373

5.  Analytic methods for two-stage case-control studies and other stratified designs.

Authors:  W D Flanders; S Greenland
Journal:  Stat Med       Date:  1991-05       Impact factor: 2.373

6.  Improving ecological inference using individual-level data.

Authors:  Christopher Jackson; Nicky Best; Sylvia Richardson
Journal:  Stat Med       Date:  2006-06-30       Impact factor: 2.373

7.  Income inequality and population health.

Authors:  K Judge; J A Mulligan; M Benzeval
Journal:  Soc Sci Med       Date:  1998 Feb-Mar       Impact factor: 4.634

Review 8.  Invited commentary: ecologic studies--biases, misconceptions, and counterexamples.

Authors:  S Greenland; J Robins
Journal:  Am J Epidemiol       Date:  1994-04-15       Impact factor: 4.897

9.  Spatial correlation in ecological analysis.

Authors:  D G Clayton; L Bernardinelli; C Montomoli
Journal:  Int J Epidemiol       Date:  1993-12       Impact factor: 7.196

10.  A two stage design for the study of the relationship between a rare exposure and a rare disease.

Authors:  J E White
Journal:  Am J Epidemiol       Date:  1982-01       Impact factor: 4.897

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  9 in total

1.  A new estimation approach for combining epidemiological data from multiple sources.

Authors:  Hui Huang; Xiaomei Ma; Rasmus Waagepetersen; Theodore R Holford; Rong Wang; Harvey Risch; Lloyd Mueller; Yongtao Guan
Journal:  J Am Stat Assoc       Date:  2014-01-01       Impact factor: 5.033

2.  Multi-level modelling, the ecologic fallacy, and hybrid study designs.

Authors:  Jon Wakefield
Journal:  Int J Epidemiol       Date:  2009-04       Impact factor: 7.196

3.  Alleviating Linear Ecological Bias and Optimal Design with Sub-sample Data.

Authors:  Adam Glynn; Jon Wakefield; Mark S Handcock; Thomas S Richardson
Journal:  J R Stat Soc Ser A Stat Soc       Date:  2008-01-01       Impact factor: 2.483

4.  On the analysis of hybrid designs that combine group- and individual-level data.

Authors:  E Smoot; S Haneuse
Journal:  Biometrics       Date:  2014-09-22       Impact factor: 2.571

5.  Bayes computation for ecological inference.

Authors:  Jon Wakefield; Sebastien Haneuse; Adrian Dobra; Elizabeth Teeple
Journal:  Stat Med       Date:  2011-02-22       Impact factor: 2.373

6.  On the Analysis of Case-Control Studies in Cluster-correlated Data Settings.

Authors:  Sebastien Haneuse; Claudia Rivera-Rodriguez
Journal:  Epidemiology       Date:  2018-01       Impact factor: 4.822

7.  Spatial Aggregation and the Ecological Fallacy.

Authors: 
Journal:  Chapman Hall CRC Handb Mod Stat Methods       Date:  2010

8.  Estimating Individual-Level Risk in Spatial Epidemiology Using Spatially Aggregated Information on the Population at Risk.

Authors:  Peter J Diggle; Yongtao Guan; Anthony C Hart; Fauzia Paize; Michelle Stanton
Journal:  J Am Stat Assoc       Date:  2012-01-01       Impact factor: 5.033

9.  Disease risk estimation by combining case-control data with aggregated information on the population at risk.

Authors:  Xiaohui Chang; Rasmus Waagepetersen; Herbert Yu; Xiaomei Ma; Theodore R Holford; Rong Wang; Yongtao Guan
Journal:  Biometrics       Date:  2014-10-28       Impact factor: 1.701

  9 in total

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