Characterizing vaccine-associated risks using cubic smoothing splines

American Journal of Epidemiology

Volumn 176, Issue 10, 2012, Pages 949-957

  Brookhart, M Alan ^a   Walker, Alexander M ^a   Yun, Lu ^a   Polakowski, Laura ^a   Li, Jie ^a   Paeglow, Corrie ^a   Puenpatom, Tosmai ^a   Izurieta, Hector ^a   Daniel, Gregory W ^a  

^a University of North Carolina at Chapel Hill   (United States)

Author keywords

nonparametric regression; pharmacoepidemiology; self controlled design; vaccine safety

Indexed keywords

CHICKENPOX MEASLES MUMPS RUBELLA VACCINE; MEASLES MUMPS RUBELLA VACCINE;

BOOTSTRAPPING; CHILD HEALTH; DESIGN; EPIDEMIOLOGY; NUMERICAL MODEL; RISK FACTOR; SMOOTHING; VACCINATION;

ARTICLE; CHICKENPOX; CONFIDENCE INTERVAL; DRUG ERUPTION; DRUG FEVER; DRUG SAFETY; DRUG SURVEILLANCE PROGRAM; HUMAN; LYMPHADENOPATHY; MAJOR CLINICAL STUDY; MEASLES; MUMPS; OUTCOME ASSESSMENT; PREDICTIVE VALUE; RISK ASSESSMENT; RUBELLA; STATISTICAL ANALYSIS; URINARY TRACT INFECTION; VACCINATION;

CHICKENPOX VACCINE; CHILD, PRESCHOOL; DATA INTERPRETATION, STATISTICAL; EXANTHEMA; FEVER; HUMANS; INCIDENCE; INFANT; MEASLES VACCINE; MODELS, STATISTICAL; MUMPS VACCINE; POISSON DISTRIBUTION; REGRESSION ANALYSIS; RISK ASSESSMENT; RUBELLA VACCINE; TIME FACTORS; VACCINATION; VACCINES;

RUBELLA;

EID: 84869065169     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kws158     Document Type: Article

References (14)

1. McClure DL, Glanz JM, Xu S, et al. Comparison of epidemiologic methods for active surveillance of vaccine safety. Vaccine. 2008;26(26):3341-3345.
2. Maclure M. The case-crossover design: a method for studying transient effects on the risk of acute events. Am J Epidemiol. 1991;133(2):144-153.
3. Marshall RJ, Jackson RT. Analysis of case-crossover designs. Stat Med. 1993;12(24):2333-2341.
4. Mittleman MA, Lewis RA, Maclure M, et al. Triggering myocardial infarction by marijuana. Circulation. 2001; 103(23):2805-2809.
5. Farrington CP. Relative incidence estimation from case series for vaccine safety evaluation. Biometrics. 1995;51(1):228-235.
6. Whitaker HJ, Hocine MN, Farrington CP. The methodology of self-controlled case series studies. Stat Methods Med Res. 2009;18(1):7-26.
7. R: A Language and Environment for Statistical Computing [computer program]. Vienna, Austria: R Foundation for Statistical Computing; 2011.
8. Hastie T, Tibshirani R. Generalized Additive Models. Boca Raton, FL: Chapman & Hall/CRC; 1990.
9. Serfling RE. Methods for current statistical analysis of excess pneumonia-influenza deaths. Public Health Rep. 1963;78(6): 494-506.
10. Shaikh N, Morone NE, Bost JE, et al. Prevalence of urinary tract infection in childhood: a meta-analysis. Pediatr Infect Dis J. 2008;27(4):302-308.
11. Walker AM, Wise RP. Precautions for proactive surveillance. Pharmacoepidemiol Drug Saf. 2002;11(1): 17-20.
12. Platt R, Wilson M, Chan KA, et al. The new Sentinel Network-improving the evidence of medical-product safety. N Engl J Med. 2009;361(7):645-647.
13. Stang PE, Ryan PB, Racoosin JA, et al. Advancing the science for active surveillance: rationale and design for the Observational Medical Outcomes Partnership. Ann Intern Med. 2010;153(9):600-606.
14. Walker AM.Orthogonal predictions : follow-up questions for suggestive data. Pharmacoepidemiol Drug Saf. 2010;19(5):529-532.