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Estimating onset time from longitudinal and cross‐sectional data with an application to estimating gestational age from longitudinal maternal anthropometry during pregnancy and neonatal anthropometry at birth Early View

  • Journal: Journal of the Royal Statistical Society: Series A (Statistics in Society)
  • Authors: Ana Maria Ortega‐Villa, Katherine L. Grantz, Paul S. Albert
  • Published Date: Aug 28, 2017

Abstract Determining the date of conception is important for estimating gestational age and monitoring whether the fetus and mother are on track in their development and...

Differentially private model selection with penalized and constrained likelihood Early View

  • Journal: Journal of the Royal Statistical Society: Series A (Statistics in Society)
  • Authors: Jing Lei, Anne‐Sophie Charest, Aleksandra Slavkovic, Adam Smith, Stephen Fienberg
  • Published Date: Oct 10, 2017

Summary In statistical disclosure control, the goal of data analysis is twofold: the information released must provide accurate and useful statistics about the underlying...

Factors associated with supermarket and convenience store closure: a discrete time spatial survival modelling approach Early View

  • Journal: Journal of the Royal Statistical Society: Series A (Statistics in Society)
  • Authors: Joshua L. Warren, Penny Gordon‐Larsen
  • Published Date: Oct 22, 2017

Summary Although there is a literature on the distribution of food stores across geographic and social space, much of this research uses cross‐sectional data. Analyses...

Smoothing mortality data: the English Life Tables , 2010–2012 Early View

  • Journal: Journal of the Royal Statistical Society: Series A (Statistics in Society)
  • Authors: Erengul Dodd, Jonathan J. Forster, Jakub Bijak, Peter W. F. Smith
  • Published Date: Aug 11, 2017

Summary   We describe the most recent statistical methodology used to produce the 17th English Life Table, covering the period 2010–2012. Crude mortality rates are smoothed,...

On solving endogeneity with invalid instruments: an application to investment equations Early View

  • Journal: Journal of the Royal Statistical Society: Series A (Statistics in Society)
  • Authors: Antonio F. Galvao, Gabriel Montes–Rojas, Jose Olmo, Suyong Song
  • Published Date: Sep 06, 2017

Summary Regression models relating investment demand with firms’ Tobin's q and cash flow are fraught with measurement errors which, in turn, cause endogeneity bias. We propose an...

An assessment of the causes of the errors in the 2015 UK general election opinion polls Early View

  • Journal: Journal of the Royal Statistical Society: Series A (Statistics in Society)
  • Authors: Patrick Sturgis, Jouni Kuha, Nick Baker, Mario Callegaro, Stephen Fisher, Jane Green, Will Jennings, Benjamin E. Lauderdale, Patten Smith
  • Published Date: Oct 25, 2017

Summary The opinion polls that were undertaken before the 2015 UK general election underestimated the Conservative lead over Labour by an average of 7 percentage points....

Can incentives improve survey data quality in developing countries?: results from a field experiment in India Early View

  • Journal: Journal of the Royal Statistical Society: Series A (Statistics in Society)
  • Authors: Guy Stecklov, Alexander Weinreb, Calogero Carletto
  • Published Date: Nov 17, 2017

Summary We report results of an experiment designed to assess whether the payment of contingent incentives to respondents in Karnataka, India, impacts the quality of survey...

Tracking and modelling prices using web‐scraped price microdata: towards automated daily consumer price index forecasting Early View

  • Journal: Journal of the Royal Statistical Society: Series A (Statistics in Society)
  • Authors: Ben Powell, Guy Nason, Duncan Elliott, Matthew Mayhew, Jennifer Davies, Joe Winton
  • Published Date: Sep 15, 2017

Summary With the increasing relevance and availability of on‐line prices that we see today, it is natural to ask whether the prediction of the consumer price index (CPI),...

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