Results 101 to 110 of about 114,090 (262)
Clinical Trial Design Using A Stopped Negative Binomial Distribution. [PDF]
DeVeaux M, Kane MJ, Zelterman D.
europepmc +1 more source
This multi‐institutional study evaluated the Geriatric Nutritional Risk Index (GNRI) in 225 nonagenarians undergoing surgical resection for colorectal cancer. A lower preoperative GNRI was independently associated with a longer hospital stay and poorer overall survival, even after adjustment for confounders using inverse‐probability‐of‐treatment ...
Toshiaki Toshima +19 more
wiley +1 more source
Measured PET Data Characterization with the Negative Binomial Distribution Model. [PDF]
Santarelli MF, Positano V, Landini L.
europepmc +1 more source
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta +3 more
wiley +1 more source
Confidence Intervals for Asbestos Fiber Counts: Approximate Negative Binomial Distribution. [PDF]
Bartley D, Slaven J, Harper M.
europepmc +1 more source
Abstract Crop insurance is undoubtedly an extremely valuable element in protecting agricultural businesses, but in many cases standard indemnity‐based products have had very low uptake due to high transaction costs elevating premiums to unaffordable levels.
Amogh Prakasha Kumar +2 more
wiley +1 more source
When analyzing data in the presence of over dispersion, the usual practice is to assume a common dispersion parameter to all observations. However, there are situations where the assumption of homogeneity of the dispersion parameter does not hold.
Morales Mario Alfonso +1 more
doaj
Linking parasite populations in hosts to parasite populations in space through Taylor's law and the negative binomial distribution. [PDF]
Cohen JE, Poulin R, Lagrue C.
europepmc +1 more source
Risk management externalities in agrifood supply chains
Abstract Firms may under‐ or over‐invest in risk management from the social planner's perspective, resulting in a negative externality on other economic agents in the supply chain. The externality of risk management is particularly relevant for agrifood supply chains, which frequently experience disruptions and play a primary role in preventing major ...
Jeffrey Hadachek, Meilin Ma
wiley +1 more source
High‐elevation endemic plants predicted to lose habitat from changing climate in Washington State
Abstract Premise High‐elevation plants face unique challenges from potential climate change impacts that will likely require upslope migration into increasingly smaller suitable habitat. This situation is particularly acute for endemic species that by definition occupy small geographic ranges.
Nicholas L. Gjording +4 more
wiley +1 more source

