Understanding Sample Size Neglect: Cognitive Bias Explained

Discover how sample size neglect impacts statistical conclusions and learn to avoid this cognitive bias studied by renowned experts like Tversky and Kahneman.
Nature

Robust and scalable inference of population history from hundreds of unphased whole genomes

It has recently been demonstrated that inference methods based on genealogical processes with recombination can uncover past population history in unprecedented detail. However, these methods scale ...
JSTOR Daily

Improved Small Sample Inference Procedures for Epidemiological Parameters under Cross-Sectional Sampling

Estimating non-linear functions of multinomial probabilities is a common problem in epidemiology. Maximum likelihood estimates of non-linear functions are easily obtained. However, only asymptotic ...
ascopubs.org

Inference of sample-specific genetic interactions to increase accuracy of indication prioritization in oncology clinical trials and facilitate exploration of combined therapy ...

Results of a phase II trial of the PARP inhibitor, niraparib, in BAP1 and other DNA damage response pathway deficient neoplasms. This is an ASCO Meeting Abstract from the 2022 ASCO Annual Meeting I.
JSTOR Daily

Large-Sample Inference for Nonparametric Regression with Dependent Errors

A central limit theorem is given for certain weighted partial sums of a covariance stationary process, assuming it is linear in martingale differences, but without any restriction on its spectrum. We ...