Mounting evidence has shown that gut microbiome is associated with various cancers,
including gastrointestinal (GI) tract and non-GI tract cancers. But microbiome data have …

Sampling ecological interactions presents similar challenges, problems, potential biases
and constraints as sampling individuals and species in biodiversity inventories. Robust …

Current practice in the normalization of microbiome count data is inefficient in the statistical
sense. For apparently historical reasons, the common approach is either to use simple …

Introduction Recent decades have seen a major international effort to inventory tree
communities in the Amazon Basin and Guiana Shield (Amazonia), but the vast extent and …

Aims In ecology and conservation biology, the number of species counted in a biodiversity
study is a key metric but is usually a biased underestimate of total species richness because …

Quantifying diversity is of central importance for the study of structure, function and evolution
of microbial communities. The estimation of microbial diversity has received renewed …

The purpose of this review is to clarify the concepts of bias, precision and accuracy as they
are commonly defined in the biostatistical literature, with our focus on the use of these …

Estimates of species richness and diversity are central to community and macroecology and
are frequently used in conservation planning. Commonly used diversity metrics account for …

Biodiversity sampling is labor intensive, and a substantial fraction of a biota is often
represented by species of very low abundance, which typically remain undetected by …

A statistical model is developed for estimating species richness and accumulation by
formulating these community‐level attributes as functions of model‐based estimators of …