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Beth Gladen

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American biostatistician

Beth Charmaine Gladen is an American biostatistician who worked at the National Institute of Environmental Health Sciences, where she did pioneering research on children’s environmental health with physician Walter J. Rogan, including influential studies on the harmful effects of polychlorinated biphenyl as transmitted to children in utero and through breast milk, and on correlations between breastfeeding and infant mental development. The Rogan–Gladen estimator, a frequentist correction to observed prevalence rates to account for misclassifications based on sensitivity and specificity according to the formula prevalence = observed prevalence + specificity 1 sensitivity + specificity 1 , {\displaystyle \operatorname {prevalence} ={\frac {{\text{observed prevalence}}+{\text{specificity}}-1}{{\text{sensitivity}}+{\text{specificity}}-1}},} is named in part for Gladen in theoretical work she published early in her career, again with Rogan.

Gladen completed her Ph.D. in statistics at Stanford University in 1977. Her dissertation, Inference from Stopped Bernoulli Trials, was supervised by Paul Switzer. She was elected as a Fellow of the American Statistical Association in 1999. She retired before 2007.

References

  1. Lenox, Kelly (December 2015), "Rogan receives prestigious children's environmental health award", Environmental Factor, National Institute of Environmental Health Sciences
  2. Martin, Robert D. (11 January 2014), "Breast is best for growing brains", Psychology Today
  3. Brightwell, Bob; Dransfield, Bob (2013), "Estimating true preference", Avoid and detect statistical malpractice: Design and analysis for biologists, with R, InfluentialPoints
  4. Rogan, Walter J.; Gladen, Beth (January 1978), "Estimating prevalence from the results of a screening test", American Journal of Epidemiology, 107 (1): 71–76, doi:10.1093/oxfordjournals.aje.a112510, PMID 623091
  5. Flor, Matthias; Weiß, Michael; Selhorst, Thomas; Müller-Graf, Christine; Greiner, Matthias (July 2020), "Comparison of Bayesian and frequentist methods for prevalence estimation under misclassification", BMC Public Health, 20 (1): 1135, doi:10.1186/s12889-020-09177-4, PMC 7370479, PMID 32689959
  6. Beth Gladen at the Mathematics Genealogy Project
  7. ASA Fellows list, American Statistical Association, retrieved 2021-04-09
  8. Vo, Thao (2007), DDE And PCBs: Intra-Individual Changes, Correlations, Predictors And Role In Timing Of Menopause (PhD thesis), University of North Carolina at Chapel Hill, p. vi
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