Case/control studies with follow-up: Constructing the source population to estimate effects of risk factors on development, disease, and survival

Clinical Infectious Diseases

Volumn 55, Issue SUPPL. 4, 2012, Pages

  Sommerfelt, Halvor ^a,b   Steinsland, Hans ^a   Van Der Merwe, Lize ^c,d   Blackwelder, William C ^e   Nasrin, Dilruba ^e   Farag, Tamer H ^e   Kotloff, Karen L ^e   Levine, Myron M ^e   Gjessing, Håkon K ^a,b  

^a UNIVERSITY OF BERGEN   (Norway)

^b NORWEGIAN INSTITUTE OF PUBLIC HEALTH   (Norway)

^c MEDICAL RESEARCH COUNCIL   (United Kingdom)

^d UNIVERSITY OF THE WESTERN CAPE   (South Africa)

^e University of Maryland School of Medicine Center for Vaccine Development   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; COHORT ANALYSIS; CONCEPTUAL FRAMEWORK; FOLLOW UP; INCIDENCE; INFECTION; INFECTION RISK; MEDICAL RESEARCH; OUTCOME ASSESSMENT; PRIORITY JOURNAL; REGRESSION ANALYSIS; RISK FACTOR; SURVIVAL PREDICTION;

CASE-CONTROL STUDIES; COHORT STUDIES; COMPUTER SIMULATION; DATABASES, FACTUAL; EPIDEMIOLOGIC RESEARCH DESIGN; FOLLOW-UP STUDIES; HUMANS; INCIDENCE; LINEAR MODELS; MORTALITY; ODDS RATIO; RISK ASSESSMENT; RISK FACTORS;

EID: 84870002275     PISSN: 10584838     EISSN: 15376591     Source Type: Journal    
DOI: 10.1093/cid/cis802     Document Type: Article

References (28)

1. Breslow NE. Statistics in epidemiology: the case-control study. J Am Stat Assoc 1996; 91:14-28. (Pubitemid 126353363)
2. Rothman KJ. Epidemiology: an introduction. 2nd ed. New York, NY: Oxford University Press, 2012.
3. Rothman KJ, Greenland S, Lash TL. Modern epidemiology. 3rd ed. Philadelphia: Wolters Kluwer Health/Lippincott Williams & Wilkins, 2008.
4. Nagelkerke N, Smits J, le Cessie S, van Houwelingen H. Testing goodness- of-fit of the logistic regression model in case-control studies using sample reweighting. Stat Med 2005; 24:121-30. (Pubitemid 40074069)
5. Richardson DB, Rzehak P, Klenk J, Weiland SK. Analyses of casecontrol data for additional outcomes. Epidemiology 2007; 18:441-5. (Pubitemid 46955309)
6. Reilly M, Torrang A, Klint A. Re-use of case-control data for analysis of new outcome variables. Stat Med 2005; 24:4009-19. (Pubitemid 43115744)
7. Lumley T. Complex surveys: a guide to analysis using R. Hoboken, NJ: John Wiley, 2010.
8. Jiang Y, Scott AJ, Wild CJ. Secondary analysis of case-control data. Stat Med 2006; 25:1323-39.
9. Kotloff KK, Blackwelder WC, Nasrin D, et al. The Global Enteric Multicenter Study (GEMS) of diarrheal disease in infants and young children in developing countries: epidemiologic and clinical methods of the case-control study. Clin Infect Dis 2012; 55(S4):S232-45.
10. Levine MM, Kotloff KL, Nataro JP, Muhsen K. Impetus and rationale for the Global Enteric Multicenter Study (GEMS). Clin Infect Dis 2012; 55(S4):S215-24.
11. Lumley T. Survey-weighted generalised linear models. Available at: http://faculty.washington.edu/tlumley/survey/html/svyglm.html and http://CRAN.R-project.org/package=survey. Accessed 2 November 2012.
12. Lumley T. Survey-weighted Cox models. Available at: http://faculty. washington.edu/tlumley/survey/html/svycoxph.htm and http://CRAN.Rproject. org/package=survey. Accessed 2 November 2012.
13. Strand TA, Taneja S, Bhandari N, et al. Folate, but not vitamin B-12 status, predicts respiratory morbidity in north Indian children. Am J Clin Nutr 2007; 86:139-44. (Pubitemid 47041603)
14. Efron B, Tibshirani R. An introduction to the bootstrap. New York: Chapman & Hall, 1993.
15. Vander Weele TJ. On the distinction between interaction and effect modification. Epidemiology 2009; 20:863-71.
16. Black MM, Matula K. Essentials of Bayley Scales of Infant Development II assessment. New York: Wiley, 2000.
17. De Onis M, Garza C, Onyango AW, Martorell R. WHO Child Growth Standards. Acta Paediatrica, 2006; 95(Suppl 450). Available at: http://www.who.int/entity/ childgrowth/standards/Acta-95-S450.pdf.
18. Blackwelder WC, Biswas K, Wu Y, et al. Statistical methods in the Global Enteric Multicenter Study. Clin Infect Dis 2012; 55(S4): S246-53.
19. Lin DY, Zeng D. Proper analysis of secondary phenotype data in case-control association studies. Genet Epidemiol 2009; 33: 256-65.
20. Schildcrout JS, Rathouz PJ. Longitudinal studies of binary response data following case-control and stratified case-control sampling: design and analysis. Biometrics 2010; 66:365-73.
21. World Health Organization. Generic protocols for (i) hospital-based surveillance to estimate the burden of rotavirus gastroenteritis in children and (ii) a community-based survey on utilization of health care services for gastroenteritis in children. Geneva, Switzerland: WHO, 2002.
22. Mathisen M, Strand TA, Sharma BN, et al. RNA viruses in community- acquired childhood pneumonia in semi-urban Nepal; a cross-sectional study. BMC Med 2009; 7:35.
23. Mathisen M, Strand TA, Sharma BN, et al. Microepidemics of infections with respiratory viruses in young children in Bhaktapur, Nepal 2004-2007. Available at: http://folk.uib.no/mihtr/CHRP/Virus.html. Accessed 25 June 2012.
24. Valentiner-Branth P, Steinsland H, Fischer TK, et al. Cohort study of Guinean children: incidence, pathogenicity, conferred protection, and attributable risk for enteropathogens during the first 2 years of life. J Clin Microbiol 2003; 41:4238-45. (Pubitemid 37099690)
25. Steinsland H, Valentiner-Branth P, Perch M, et al. Enterotoxigenic Escherichia coli infections and diarrhea in a cohort of young children in Guinea-Bissau. J Infect Dis 2002; 186:1740-7. (Pubitemid 35463506)
26. Steinsland H, Valentiner-Branth P, Gjessing HK, Aaby P, Molbak K, Sommerfelt H. Protection from natural infections with enterotoxigenic Escherichia coli: longitudinal study. Lancet 2003; 362:286-91. (Pubitemid 36936840)
27. Aalen O, Borgan Ø, Gjessing S, SpringerLink (Online service). Survival and event history analysis a process point of view. Statistics for biology and health. New York; London: Springer, 2008: 539 p.
28. Rabe-Hesketh S, Skrondal A. Multilevel and longitudinal modeling using Stata. College Station, Texas: Stata Press, 2012.