Maarten van Smeden on Twitter: "Problem 2: small sample bias (a.k.a. sparse data bias) needs attention in data with low number of events" / Twitter
Sparse data bias: a problem hiding in plain sight
Penalized Likelihood Logistic Regression for Sparse Data Using Data Priors
PDF] To tune or not to tune, a case study of ridge logistic regression in small or sparse datasets
We tend to find stories and patterns even when looking for sparse data Since we only get a tiny sliver of the world'… | Cognitive bias, The more you know, Cognitive
PDF) Bias‐reduced and separation‐proof conditional logistic regression with small or sparse data sets | Georg Heinze - Academia.edu
On inconsistency of the common rate difference estimators from sparse follow-up data
Analysis and correction of compositional bias in sparse sequencing count data | BMC Genomics | Full Text
Methods in Ecology and Evolution on Twitter: "Sparse, patchy and sampling biased data can produce reliable #SpeciesDistributions by pooling species and data types. Find out more in this Methods in #Ecology and #
Bias in population growth rate estimation: sparse data, partial life cycle analysis and Jensen's inequality