Health researchers need to fully understand the underlying assumptions to uncover cause and effect. Timothy Feeney and Paul Zivich explain Physicians ask, answer, and interpret myriad causal questions ...

HEELS is a Python-based command line tool that produce accurate and precise local heritability estimates using summary-level statistics (marginal association test statistics along with the empirical ...

Abstract: Circular statistics and Rayleigh tests are important tools for analyzing cyclic events. However, current methods are not robust to significant measurement bias, especially incomplete or ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Using Australia as an example, national studies of heat-related mortality are compared, refer to Table 1 ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. An easy-to-implement noise estimation method for tuning state estimators is proposed.

Department of Statistics and Operations Research, Tel Aviv University, Tel Aviv, Israel The age of big data has fueled expectations for accelerating learning. The availability of large data sets ...

Statistical significance is a critical concept in data analysis and research. In essence, it’s a measure that allows researchers to assess whether the results of an experiment or study are due to ...

ABSTRACT: Elements of correspondence (“coincidences”) between a student’s solutions to an assigned set of quantitative problems and the solutions manual for the course textbook may suggest that the ...