Results 11 to 20 of about 26,597,943 (299)
Differential expression analysis for sequence count data
Genome Biology, 2010 High-throughput sequencing assays such as RNA-Seq, ChIP-Seq or barcode counting provide quantitative readouts in the form of count data. To infer differential signal in such data correctly and with good statistical power, estimation of data variability ...
Simon Anders, Wolfgang Huber
semanticscholar +3 more sources
Regression Models for Multivariate Count Data [PDF]
Journal of Computational and Graphical Statistics, 2017 Data with multivariate count responses frequently occur in modern applications. The commonly used multinomial-logit model is limiting due to its restrictive mean-variance structure. For instance, analyzing count data from the recent RNA-seq technology by the multinomial-logit model leads to serious errors in hypothesis testing.
Zhang, Yiwen +3 more
openaire +5 more sources
Mediation analysis for count and zero-inflated count data [PDF]
Statistical Methods in Medical Research, 2017 Different conventional and causal approaches have been proposed for mediation analysis to better understand the mechanism of a treatment. Count and zero-inflated count data occur in biomedicine, economics, and social sciences. This paper considers mediation analysis for count and zero-inflated count data under the potential outcome framework with ...
Cheng, Jing +5 more
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Communications in Statistics Part B: Simulation and Computation, 2018 Elizabeth H. Payne +4 more
semanticscholar +3 more sources
Annals of Data Science, 2023 The aim of this study is to investigate the overdispersion problem that is rampant in ecological count data. In order to explore this problem, we consider the most commonly used count regression models: the Poisson, the negative binomial, the zero ...
Bonelwa Sidumo +2 more
semanticscholar +1 more source
A comparison of zero-inflated and hurdle models for modeling zero-inflated count data
Journal of Statistical Distributions and Applications, 2021 Counts 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.
C. Feng
semanticscholar +1 more source
A global dataset of publicly available dengue case count data. [PDF]
Sci DataOpenDengue is a global database of dengue case data collated from public sources and standardised and formatted to facilitate easy reanalysis. Dataset version 1.2 of this database contains information on over 56 million dengue cases from 102 countries ...
Clarke J +5 more
europepmc +2 more sources
ComBat-seq: batch effect adjustment for RNA-seq count data
bioRxiv, 2020 The benefit of integrating batches of genomic data to increase statistical power in differential expression is often hindered by batch effects, or unwanted variation in data caused by differences in technical factors across batches.
Yuqing Zhang, G. Parmigiani, W. Johnson
semanticscholar +1 more source
An Application Comparison of Two Negative Binomial Models on Rainfall Count Data
, 2021 Counts data models cope with the response variable counts, where the number of times that a certain event occurs in a fixed point is called count data, its observations consists of non-negative integers values {0,1,2,}.
L. H. Hashim +3 more
semanticscholar +1 more source
The use of statistics in social sciences [PDF]
Journal of Humanities and Applied Social Sciences, 2019 Purpose – The purpose this paper is to review some of the statistical methods used in the field of social sciences. Design/methodology/approach – A review of some of the statistical methodologies used in areas like survey methodology, official statistics,
Petros Maravelakis
doaj +1 more source