Journal of Clinical Epidemiology
Volume 60, Issue 1 , Pages 50-55 , January 2007

The online case-crossover study is a novel approach to study triggers for recurrent disease flares

  • Yuqing Zhang

      Affiliations

    • Boston University Clinical Epidemiology Research and Training Unit, The Department of Medicine at Boston Medical Center, A203, Boston University School of Medicine, 715 Albany St., Boston, MA 02118, USA
    • Corresponding Author InformationCorresponding author. Tel./fax: 617-638-5183.
  • ,
  • Christine E. Chaisson

      Affiliations

    • The Data Coordinating Center, Boston University School of Public Health, Boston, MA, USA
  • ,
  • Timothy McAlindon

      Affiliations

    • Tufts New England Medical Center, Boston, MA, USA
  • ,
  • Ryan Woods

      Affiliations

    • The Data Coordinating Center, Boston University School of Public Health, Boston, MA, USA
  • ,
  • David J. Hunter

      Affiliations

    • Boston University Clinical Epidemiology Research and Training Unit, The Department of Medicine at Boston Medical Center, A203, Boston University School of Medicine, 715 Albany St., Boston, MA 02118, USA
  • ,
  • Jingbo Niu

      Affiliations

    • Boston University Clinical Epidemiology Research and Training Unit, The Department of Medicine at Boston Medical Center, A203, Boston University School of Medicine, 715 Albany St., Boston, MA 02118, USA
  • ,
  • Tuhina Neogi

      Affiliations

    • Boston University Clinical Epidemiology Research and Training Unit, The Department of Medicine at Boston Medical Center, A203, Boston University School of Medicine, 715 Albany St., Boston, MA 02118, USA
  • ,
  • David T. Felson

      Affiliations

    • Boston University Clinical Epidemiology Research and Training Unit, The Department of Medicine at Boston Medical Center, A203, Boston University School of Medicine, 715 Albany St., Boston, MA 02118, USA

,Accepted 17 April 2006.

References 

  1. Maclure M. The case-crossover design: a method for studying transient effects on the risk of acute events. Am J Epidemiol. 1991;133:144–153
  2. Rothman KJ, Cann CI, Walker AM. Epidemiology and the Internet. Epidemiology. 1997;8:123–125
  3. Florey CV, Ben-Shlomo Y, Egger M. Epidemiology and the World Wide Web: is there a 'net benefit?. Epidemiol Rev. 2000;22:181–185
  4. Abbott RD, Brand FN, Kannel WB, Castelli WP. Gout and coronary heart disease: the Framingham Study. J Clin Epidemiol. 1988;41:237–242
  5. Services USDoHaH. Plan and operation of the Third National Health and Nutrition Examination Survey, 1988–94. Series 1, No 32: programs and collection procedures. 1994 Vital Health Stat 1 pp 214–5.
  6. Katz JN, Chang LC, Sangha O, Fossel AH, Bates DW. Can comorbidity be measured by questionnaire rather than medical record review?. Med Care. 1996;34:73–84
  7. Wallace SL, Robinson H, Masi AT, Decker JL, McCarty DJ, Yu TF. Preliminary criteria for the classification of the acute arthritis of primary gout. Arthritis Rheum. 1977;20:895–900
  8. Kushi LH, Finnegan J, Martinson B, Rightmyer J, Vachon C, Yochum L. Epidemiology and the Internet. Epidemiology. 1997;8:689–690
  9. Soetikno RM, Mrad R, Pao V, Lenert LA. Quality-of-life research on the Internet: feasibility and potential biases in patients with ulcerative colitis. J Am Med Inf Assoc. 1997;4:426–435
  10. Soetikno RM, Provenzale D, Lenert LA. Studying ulcerative colitis over the World Wide Web. Am J Gastroenterol. 1997;92:457–460
  11. McAlindon T, Formica M, Kabbara K, LaValley M, Lehmer M. Conducting clinical trials over the Internet: feasibility study. BMJ. 2003;327:484–487
  12. Lorig KR, Laurent DD, Deyo RA, Marnell ME, Minor MA, Ritter PL. Can a Back Pain E-mail Discussion Group improve health status and lower health care costs?: a randomized study. Arch Intern Med. 2002;162:792–796
  13. Baer A, Saroiu S, Koutsky LA. Obtaining sensitive data through the Web: an example of design and methods. Epidemiology. 2002;13:640–645
  14. Janes H, Sheppard L, Lumley T. Case-crossover analyses of air pollution exposure data: referent selection strategies and their implications for bias. Epidemiology. 2005;16:717–726

 Supported by an Arthritis Foundation Clinical Sciences grant, by a grant from the Department of Medicine, Boston University School of Medicine, and by National Institutes of Health grant AR47785.

PII: S0895-4356(06)00192-2

doi: 10.1016/j.jclinepi.2006.04.006

Journal of Clinical Epidemiology
Volume 60, Issue 1 , Pages 50-55 , January 2007