Interpretable machine learning for identifying determinants of high hypertension burden under extreme heat vulnerability: evidence from Maryland, USA. [PDF]
Peng B.
europepmc +1 more source
The 2008 Population Census of St. Helena [PDF]
St. Helena Government. The Census/Statistics Office .
core
Increasing the Incentive to Serve: The Effects of a Juror Pay Increase in Texas
ABSTRACT Although low juror pay is commonly offered as a reason why jurors do not show up to jury service, there is remarkably little empirical information on how juror pay affects summons response. This study examines four large‐sized counties in Texas before and after pay increased from as little as $6 a day to $40, analyzing patterns of the percent ...
Mary R. Rose, Max Lisch, Faris A. Husain
wiley +1 more source
The Impact of Streetlight Placement on Trends and Disparities in Pedestrian-Motor Vehicle Crashes. [PDF]
Peitzman C +3 more
europepmc +1 more source
Abstract This article presents a strategy for conducting regression analysis of zero‐truncated recurrent event data. The research is partly motivated by a pediatric mental health care (PMHC) program based on administrative data. We are particularly interested in how the occurrence of an event depends on its past occurrences and the associated ...
Anqi A. Chen +3 more
wiley +1 more source
Hidden Capacity? Uncovering the Rural Australian Health Research Workforce Using National Census Data. [PDF]
Kersten M, Hayes K, Heaney S.
europepmc +1 more source
A conversation with James V. Zidek
AbstractThis article documents a series of exchanges between the authors and the senior Canadian statistician Jim Zidek in early 2026. The interview traces his life trajectory, surveying his principal contributions to statistics while offering insights into his motivations, successes, and challenges. Zidek is a Fellow of the Royal Society of Canada and
Christian Genest, Nancy E. Heckman
wiley +1 more source
Data Resource Profile: Australia's Person Level Integrated Data Asset (PLIDA). [PDF]
Samuels C +4 more
europepmc +1 more source
Sparse maximum likelihood estimation of regression models
Abstract For regression model selection and estimation, we study a small set of candidate models of maximum likelihood from which all information criteria such as the Akaike information criterion (AIC) and the Bayesian information criterion (BIC) choose their models.
Min Tsao
wiley +1 more source
A descriptive study of the association of Carbapenem-resistant Enterobacterales with environmental justice of a Southern urban county, USA. [PDF]
Beauchamp AM +5 more
europepmc +1 more source

