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  1. Analytic Perspective

    Social network analysis and agent-based modeling in social epidemiology

    The past five years have seen a growth in the interest in systems approaches in epidemiologic research. These approaches may be particularly appropriate for social epidemiology. Social network analysis and age...

    Abdulrahman M El-Sayed, Peter Scarborough, Lars Seemann and Sandro Galea

    Epidemiologic Perspectives & Innovations 2012 9:1

    Published on: 1 February 2012

  2. Analytic Perspective

    The use of complete-case and multiple imputation-based analyses in molecular epidemiology studies that assess interaction effects

    In molecular epidemiology studies biospecimen data are collected, often with the purpose of evaluating the synergistic role between a biomarker and another feature on an outcome. Typically, biomarker data are ...

    Manisha Desai, Denise A Esserman, Marilie D Gammon and Mary B Terry

    Epidemiologic Perspectives & Innovations 2011 8:5

    Published on: 6 October 2011

  3. Methodology

    Clustering based on adherence data

    Adherence to a medical treatment means the extent to which a patient follows the instructions or recommendations by health professionals. There are direct and indirect ways to measure adherence which have been...

    Sylvia Kiwuwa-Muyingo, Hannu Oja, Sarah A Walker, Pauliina Ilmonen, Jonathan Levin and Jim Todd

    Epidemiologic Perspectives & Innovations 2011 8:3

    Published on: 8 March 2011

  4. Commentary

    How many are affected? A real limit of epidemiology

    A person can experience an effect on the occurrence of an outcome in a defined follow-up period without experiencing an effect on the risk of that outcome over the same period. Sufficient causes are sometimes ...

    Charles Poole

    Epidemiologic Perspectives & Innovations 2010 7:6

    Published on: 24 August 2010

  5. Analytic Perspective

    Redundant causation from a sufficient cause perspective

    Sufficient causes of disease are redundant when an individual acquires the components of two or more sufficient causes. In this circumstance, the individual still would have become diseased even if one of the ...

    Nicolle M Gatto and Ulka B Campbell

    Epidemiologic Perspectives & Innovations 2010 7:5

    Published on: 2 August 2010

  6. Methodology

    Fitting additive Poisson models

    This paper describes how to fit an additive Poisson model using standard software. It is illustrated with SAS code, but can be similarly used for other software packages.

    Hendriek C Boshuizen and Edith JM Feskens

    Epidemiologic Perspectives & Innovations 2010 7:4

    Published on: 20 July 2010

  7. Research

    Using variable importance measures from causal inference to rank risk factors of schistosomiasis infection in a rural setting in China

    Schistosomiasis infection, contracted through contact with contaminated water, is a global public health concern. In this paper we analyze data from a retrospective study reporting water contact and schistosom...

    Sylvia EK Sudat, Elizabeth J Carlton, Edmund YW Seto, Robert C Spear and Alan E Hubbard

    Epidemiologic Perspectives & Innovations 2010 7:3

    Published on: 14 July 2010

  8. Methodology

    A method to predict breast cancer stage using Medicare claims

    In epidemiologic studies, cancer stage is an important predictor of outcomes. However, cancer stage is typically unavailable in medical insurance claims datasets, thus limiting the usefulness of such data for ...

    Grace L Smith, Ya-Chen T Shih, Sharon H Giordano, Benjamin D Smith and Thomas A Buchholz

    Epidemiologic Perspectives & Innovations 2010 7:1

    Published on: 15 January 2010

  9. Methodology

    Covariate balance in a Bayesian propensity score analysis of beta blocker therapy in heart failure patients

    Regression adjustment for the propensity score is a statistical method that reduces confounding from measured variables in observational data. A Bayesian propensity score analysis extends this idea by using si...

    Lawrence C McCandless, Paul Gustafson, Peter C Austin and Adrian R Levy

    Epidemiologic Perspectives & Innovations 2009 6:5

    Published on: 10 September 2009

  10. Analytic Perspective

    Identifiability, exchangeability and confounding revisited

    In 1986 the International Journal of Epidemiology published "Identifiability, Exchangeability and Epidemiological Confounding". We review the article from the perspective of a quarter century after it was firs...

    Sander Greenland and James M Robins

    Epidemiologic Perspectives & Innovations 2009 6:4

    Published on: 4 September 2009

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