Results 81 to 90 of about 25,561,218 (304)
Kendall's Tau for zero-inflated data
R code for a Kendall's tau correlation matrix calculator used for large datasets with zero-inflated data, such as genetic sequencing ...
Vincent G. Martinson (5041973) +6 more
core +1 more source
A dual‐layer high‐pressure drug‐coated balloon (HP@DCB) increased balloon‐wall contact and promoted deeper paclitaxel (PTX) penetration than a conventional noncompliant DCB. In in vivo study, HP@DCB treatment improved luminal patency and reduced neointimal hyperplasia, supporting pressure‐assisted drug delivery as a promising strategy for enhancing the
Seung Jin Eo +10 more
wiley +1 more source
Bayesian Zero-Inflated Model for Ordinal Data [PDF]
Datasets with a relatively large number of zeros is commonly seen in medical applications. Although models like Zero-inflated Poisson (ZIP) model are proposed for counts data, there is still some issues with ordinal data which have excess zeros.
Yang, Huizhong
core +1 more source
Introducing COZIGAM: An R Package for Unconstrained and Constrained Zero-Inflated Generalized Additive Model Analysis [PDF]
Zero-inflation problem is very common in ecological studies as well as other areas. Nonparametric regression with zero-inflated data may be studied via the zero-inflated generalized additive model (ZIGAM), which assumes that the zero-inflated responses ...
Kung-Sik Chan, Hai Liu
core
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
Bayesian Variable Selection for Zero-inflated Longitudinal Count Data
In this paper, we consider Bayesian variable selection in the special cases of the zero-inflated power series model, viz., zero-inflated Poisson and negative binomial models for zero-inflated longitudinal count data.
Nawar Alsalim, Taban Baghfalaki
doaj +1 more source
Consistent estimation of zero-inflated count models [PDF]
Applications of zero-inflated count data models have proliferated in health economics. However, zero-inflated Poisson or zero-inflated negative binomial maximum likelihood estimators are not robust to misspecification.
Rainer Winkelmann, Kevin E. Staub
core
Zero-inflated sum of Conway-Maxwell-Poissons (ZISCMP) regression
While excess zeros are often thought to cause data over-dispersion (i.e. when the variance exceeds the mean), this implication is not absolute. One should instead consider a flexible class of distributions that can address data dispersion along with ...
Kimberly F. Sellers (5408726) +1 more
core +1 more source
Life‐Like Ferrous Oxide Microspheres from Kombucha
Kombucha bacterial cellulose, sodium alginate, and ferrous nitrate self‐assemble into membrane‐enclosed iron oxide microspheres. These microspheres bud daughter vesicles, sustain 24‐h electrochemical oscillations, and filter theta‐band signals.
Panagiotis Mougkogiannis +2 more
wiley +1 more source
A new zero-inflated regression model with application [PDF]
In this paper, a new zero-inflated regression model, called Zero-Inflated Poisson-Lindley regression model, isproposed for count data modeling. Poisson-Lindley distribution arises from the Poisson distribution when itsparameter follows a Lindley ...
Altun, Emrah
core +1 more source

