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Bayesian hierarchical models for smoothing in two‐phase studies, with application to small area estimation Early View

  • Journal: Journal of the Royal Statistical Society: Series A (Statistics in Society)
  • Authors: Michelle Ross, Jon Wakefield
  • Published Date: Jan 27, 2015

Summary Two‐phase study designs are appealing since they allow for the oversampling of rare subpopulations, which improves efficiency. We describe a Bayesian hierarchical...

A Bayesian framework for estimating disease risk due to exposure to uranium mine and mill waste on the Navajo Nation Early View

  • Journal: Journal of the Royal Statistical Society: Series A (Statistics in Society)
  • Authors: Lauren Hund, Edward J. Bedrick, Curtis Miller, Gabriel Huerta, Teddy Nez, Sandy Ramone, Chris Shuey, Miranda Cajero, Johnnye Lewis
  • Published Date: Jan 27, 2015

Summary More than 1100 abandoned mines, milling sites and waste piles from the uranium mining period are scattered across the Navajo Nation, resulting in exposures to...

The relationship between education and fertility in the presence of a time varying frailty component Early View

  • Journal: Journal of the Royal Statistical Society: Series A (Statistics in Society)
  • Authors: Anna Gottard, Alessandra Mattei, Daniele Vignoli
  • Published Date: Jan 28, 2015

summary The paper investigates the relationship between fertility and women's education in Italy, using data from the 2009 Household Multipurpose Survey of Family and...

Adjusting for selection bias in assessing the relationship between sibship size and cognitive performance Early View

  • Journal: Journal of the Royal Statistical Society: Series A (Statistics in Society)
  • Authors: Gebrenegus Ghilagaber, Linda Wänström
  • Published Date: Jan 27, 2015

Summary Consistent negative correlations between sibship size and cognitive performance (as measured by intelligence quotient and other mental aptitude tests) have been...

Gender and risk taking: evidence from jumping competitions Early View

  • Journal: Journal of the Royal Statistical Society: Series A (Statistics in Society)
  • Authors: René Böheim, Mario Lackner
  • Published Date: Jan 28, 2015

Summary We analyse whether female athletes differ from male athletes in their risk‐taking behaviour in a competitive setting. Data from high jump and pole vault...

From sample average treatment effect to population average treatment effect on the treated: combining experimental with observational studies to estimate population treatment effects Early View

  • Journal: Journal of the Royal Statistical Society: Series A (Statistics in Society)
  • Authors: Erin Hartman, Richard Grieve, Roland Ramsahai, Jasjeet S. Sekhon
  • Published Date: Jan 27, 2015

Summary Randomized controlled trials (RCTs) can provide unbiased estimates of sample average treatment effects. However, a common concern is that RCTs may fail to provide...

Network model‐assisted inference from respondent‐driven sampling data Early View

  • Journal: Journal of the Royal Statistical Society: Series A (Statistics in Society)
  • Authors: Krista J. Gile, Mark S. Handcock
  • Published Date: Jan 27, 2015

Summary Respondent‐driven sampling is a widely used method for sampling hard‐to‐reach human populations by link tracing over their social networks. Inference from such data...

Realtime nowcasting with a Bayesian mixed frequency model with stochastic volatility Early View

  • Journal: Journal of the Royal Statistical Society: Series A (Statistics in Society)
  • Authors: Andrea Carriero, Todd E. Clark, Massimiliano Marcellino
  • Published Date: Jan 27, 2015

Summary The paper develops a method for producing current quarter forecasts of gross domestic product growth with a (possibly large) range of available within‐the‐quarter...

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