Results 11 to 20 of about 24,139,341 (352)
Health Psychology and Behavioral Medicine, 2021 Background Dependent variables in health psychology are often counts, for example, of a behaviour or number of engagements with an intervention. These counts can be very strongly skewed, and/or contain large numbers of zeros as well as extreme outliers ...
James A. Green
doaj +2 more sources
Modelling count data via copulas [PDF]
Statistics, 2020 33 ...
Safari-Katesari, Hadi +2 more
openaire +4 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
openaire +5 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
bioRxiv, 2021 By capturing various patterns of the structuring of genetic variation across populations, f -statistics have proved highly effective for the inference of demographic history.
M. Gautier +3 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
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
An Application Comparison of Two Poisson Models on Zero Count Data
, 2021 Counting data (including zero counts) appear in a variety of applications, so counting models have become popular in many fields. In statistical fields, count data can be defined as observation types that use only non-negative integer values.
L. H. Hashim, K. H. Hashim, M. A. Shiker
semanticscholar +1 more source