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Keyword

excess zeros

Description: A count-data phenomenon in which observed zero values occur more often than expected under a standard statistical model.
OpenAlex ID: keywords/zero-inflation
performance: An R Package for Assessment, Comparison and Testing of Statistical Models
2021 · Daniel Lüdecke, Mattan Ben-Shachar, et al. · The Journal of Open Source Software · 5,749
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DHARMa: Residual Diagnostics for Hierarchical (Multi-Level / Mixed) Regression Models
2016 · Florian Hartig · 4,416
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Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
1992 · Diane Lambert · Technometrics · 3,982
Regression Models for Count Data in R
2008 · Achim Zeileis, Christian Kleiber, et al. · Journal of Statistical Software · 2,350
The Analysis of Count Data: A Gentle Introduction to Poisson Regression and Its Alternatives
2009 · Stefany Coxe, Stephen G. West, et al. · Journal of Personality Assessment · 1,172
Using observation-level random effects to model overdispersion in count data in ecology and evolution
2014 · Xavier A. Harrison · PeerJ · 1,149
Single-cell RNA-seq denoising using a deep count autoencoder
2019 · Gökcen Eraslan, Lukas M. Simon, et al. · Nature Communications · 1,084
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Zero‐Inflated Poisson and Binomial Regression with Random Effects: A Case Study
2000 · Daniel B. Hall · Biometrics · 914
Poisson, Poisson-gamma and zero-inflated regression models of motor vehicle crashes: balancing statistical fit and theory
2004 · Dominique Lord, Simon P. Washington, et al. · Accident Analysis & Prevention · 873
Trajectory-based differential expression analysis for single-cell sequencing data
2020 · Koen Van den Berge, Hector Roux de Bézieux, et al. · Nature Communications · 829
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The relationship between truck accidents and geometric design of road sections: Poisson versus negative binomial regressions
1994 · Shaw-Pin Miaou · Accident Analysis & Prevention · 770
Review of statistical methods for analysing healthcare resources and costs
2010 · Borislava Mihaylova, Andrew Briggs, et al. · Health Economics · 766
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A general and flexible method for signal extraction from single-cell RNA-seq data
2018 · Davide Risso, Fanny Perraudeau, et al. · Nature Communications · 717
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Statistics or biology: the zero-inflation controversy about scRNA-seq data
2022 · Ruochen Jiang, Tianyi Sun, et al. · Genome biology · 611
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On the Specification of the Gravity Model of Trade: Zeros, Excess Zeros and Zero-inflated Estimation
2009 · Martijn Burger, Frank van Oort, et al. · Spatial Economic Analysis · 542
performance: Assessment of Regression Models Performance
2019 · Daniel Lüdecke, Dominique Makowski, et al. · 513
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Quantitative methods in psychology.
1960 · Don Lewis · McGraw-Hill Book Company · 481
Accounting for Excess Zeros and Sample Selection in Poisson and Negative Binomial Regression Models
1994 · William H. Greene · Faculty Digital Archive (New York University Florence) · 444
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Comparing species abundance models
2006 · Joanne M. Potts, Jane Elith · Ecological Modelling · 381
Random effect models for repeated measures of zero-inflated count data
2005 · Yongyi Min, Alan Agresti · Statistical Modelling · 376
Zero‐Altered and other Regression Models for Count Data with Added Zeros
1994 · David C. Heilbron · Biometrical Journal · 375
Models for count data with many zeros
1998 · M. S. Ridout, Clarice Garcia Borges Demétrio, et al. · 365
Droplet scRNA-seq is not zero-inflated
2020 · Valentine Svensson · Nature Biotechnology · 355
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Zero-Truncated and Zero-Inflated Models for Count Data
2009 · Alain F. Zuur, Elena N. Ieno, et al. · Statistics for biology and health · 351
Zero-Inflated and Hurdle Models of Count Data with Extra Zeros: Examples from an HIV-Risk Reduction Intervention Trial
2011 · Mei-Chen Hu, Martina Pavlicova, et al. · The American Journal of Drug and Alcohol Abuse · 348
Works count: 2,521
Citation count: 56,090
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