Results 11 to 20 of about 42,459 (144)
Zero-inflated models for the evaluation of colorectal polyps in colon cancer screening studies—a value-based biostatistics practice [PDF]
PeerJBackground Colon cancer screening studies are needed for the early detection of colorectal polyps to reduce the risk of colorectal cancer. Unfortunately, the data generated on colon polyps are typically analyzed in their dichotomized form and sometimes ...
Alok K. Dwivedi +3 more
doaj +3 more sources
PERFORMA PROPORSI ZERO-INFLATION PADA REGRESI ZERO-INFLATED NEGATIVE BINOMIAL
E-Jurnal Matematika, 2019 Tetanus Neonatorum (TN) is an infectious disease that could be prevented by immunization. East Java Province is the highest numbers of TN case in Indonesia. TN data in East Java contain overdispersion and big proportion of zero-inflation (71,05%).
LUTHFATUL AMALIANA +2 more
doaj +2 more sources
CoRR, 2023 Many real-world bandit applications are characterized by sparse rewards, which can significantly hinder learning efficiency. Leveraging problem-specific structures for careful distribution modeling is recognized as essential for improving estimation efficiency in statistics. However, this approach remains under-explored in the context of bandits.
Haoyu Wei +3 more
openaire +3 more sources
C-ziptf: stable tensor factorization for zero-inflated multi-dimensional genomics data [PDF]
BMC BioinformaticsIn the past two decades, genomics has advanced significantly, with single-cell RNA-sequencing (scRNA-seq) marking a pivotal milestone. ScRNA-seq provides unparalleled insights into cellular diversity and has spurred diverse studies across multiple ...
Daniel Chafamo +2 more
doaj +2 more sources
A comparison of zero-inflated and hurdle models for modeling zero-inflated count data [PDF]
Journal of Statistical Distributions and Applications, 2021 AbstractCounts data with excessive zeros are frequently encountered in practice. For example, the number of health services visits often includes many zeros representing the patients with no utilization during a follow-up time. A common feature of this type of data is that the count measure tends to have excessive zero beyond a common count ...
openaire +2 more sources
Estimating the total variance explained by whole-brain imaging for zero-inflated outcomes [PDF]
Communications BiologyThere is a dearth of statistical models that adequately capture the total signal attributed to whole-brain imaging features. The total signal is often widely distributed across the brain, with individual imaging features exhibiting small effect sizes for
Junting Ren +4 more
doaj +2 more sources
Zero-inflated models and estimation in zero-inflated Poisson distribution
Communications in Statistics - Simulation and Computation, 2017 In this paper, we briefly overview different zero-inflated probability distributions. We compare the performance of the estimates of Poisson, Generalized Poisson, ZIP, ZIGP and ZINB models through Mean square error (MSE), bias and Standard error (SE) when the samples are generated from ZIP distribution.
Yogita S. Wagh, Kirtee K. Kamalja
openaire +1 more source
Zero-Inflated Beta Distribution Regression Modeling
Journal of Agricultural, Biological and Environmental Statistics, 2022 A frequent challenge encountered with ecological data is how to interpret, analyze, or model data having a high proportion of zeros. Much attention has been given to zero-inflated count data, whereas models for non-negative continuous data with an abundance of 0s are lacking.
Becky Tang +3 more
openaire +3 more sources
In defense of zero inflation [PDF]
Working paper (Federal Reserve Bank of Cleveland), 1990 An argument supporting zero inflation as the sole objective of monetary policy, with particular emphasis on the Bank of Canada's commitment to an explicit, low inflation target.
openaire +2 more sources
CONSISTENT ESTIMATION OF ZERO‐INFLATED COUNT MODELS [PDF]
Health Economics, 2012 ABSTRACTApplications 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. This article proposes Poisson quasi‐likelihood estimators as an alternative. These estimators are consistent in the presence of
Staub, Kevin E, Winkelmann, Rainer
openaire +4 more sources