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1

Noh, Maengseok, and Youngjo Lee. "Extended negative binomial hurdle models." Statistical Methods in Medical Research 28, no. 5 (2018): 1540–51. http://dx.doi.org/10.1177/0962280218766567.

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Poisson models are widely used for statistical inference on count data. However, zero-inflation or zero-deflation with either overdispersion or underdispersion could occur. Currently, there is no available model for count data, that allows excessive occurrence of zeros along with underdispersion in non-zero counts, even though there have been reported necessity of such models. Furthermore, given an excessive zero rate, we need a model that allows a larger degree of overdispersion than existing models. In this paper, we use a random-effect model to produce a general statistical model for accomm
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Moffatt, P. G. "Hurdle models of loan default." Journal of the Operational Research Society 56, no. 9 (2005): 1063–71. http://dx.doi.org/10.1057/palgrave.jors.2601922.

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3

McDowell, Allen. "From the Help Desk: Hurdle Models." Stata Journal: Promoting communications on statistics and Stata 3, no. 2 (2003): 178–84. http://dx.doi.org/10.1177/1536867x0300300207.

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This article demonstrates that, although there is no command in Stata for fitting hurdle models, the parameters of a hurdle model can be estimated in Stata rather easily using a combination of existing commands. We also include a likelihood evaluator to be used with Stata's ml facilities to illustrate how to fit a hurdle model using ml's cluster(), svy, and constraints() options.
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4

Gurmu, Shiferaw. "Generalized hurdle count data regression models." Economics Letters 58, no. 3 (1998): 263–68. http://dx.doi.org/10.1016/s0165-1765(97)00295-4.

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5

Smith, Murray D. "On dependency in double-hurdle models." Statistical Papers 44, no. 4 (2003): 581–95. http://dx.doi.org/10.1007/bf02926011.

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6

Bethell, Jennifer, Anne E. Rhodes, Susan J. Bondy, W. Y. Wendy Lou, and Astrid Guttmann. "Repeat self-harm: application of hurdle models." British Journal of Psychiatry 196, no. 3 (2010): 243–44. http://dx.doi.org/10.1192/bjp.bp.109.068809.

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SummaryAmong those who present to the emergency department for self-harm, many will repeat. Self-harm repetition is an outcome of interest in both observational and intervention studies. However, few such studies analyse the number of repeat self-harm presentations. Here, hurdle models are introduced as a potentially useful statistical method for these analyses. Emergency department data from the Province of Ontario, Canada, are used to illustrate an example of implementing hurdle models and interpreting their results.
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Porter, Michael D., and Gentry White. "Self-exciting hurdle models for terrorist activity." Annals of Applied Statistics 6, no. 1 (2012): 106–24. http://dx.doi.org/10.1214/11-aoas513.

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Farbmacher, Helmut. "Estimation of Hurdle Models for Overdispersed Count Data." Stata Journal: Promoting communications on statistics and Stata 11, no. 1 (2011): 82–94. http://dx.doi.org/10.1177/1536867x1101100105.

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9

Farbmacher, Helmut. "EXTENSIONS OF HURDLE MODELS FOR OVERDISPERSED COUNT DATA." Health Economics 22, no. 11 (2012): 1398–404. http://dx.doi.org/10.1002/hec.2892.

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10

Ock, Jisoo, and Frederick L. Oswald. "The Utility of Personnel Selection Decisions." Journal of Personnel Psychology 17, no. 4 (2018): 172–82. http://dx.doi.org/10.1027/1866-5888/a000205.

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Abstract. Compensatory selection is generally more reliable than multiple-hurdle selection. Yet, practitioners may lean toward multiple-hurdle models, because administering an entire predictor battery to every applicant can be time-consuming, labor-intensive, and costly. Using Monte Carlo simulation, we considered some specific cases to illustrate, in terms of selection utility and the cost-reliability tradeoff between compensatory and multiple-hurdle selection models. Results showed that compensatory model selection produced a higher level of expected criterion performance in the selected app
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11

Adel, Adel, and Bashar Khalid Ali. "Fuzzy Generalized Poisson Doubles Hurdle Model (FGPDH) on the Leukemia in Iraq." Pure Mathematics for Theoretical Computer Science 4, no. 2 (2024): 48–58. https://doi.org/10.54216/pmtcs.040205.

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and Fuzzy Generalized Double Hurdle (FGPDH)—to estimate and predict patient outcomes. We used the Firefly Algorithm to optimize and estimate the parameters for these models. Among them, the FGPDH model consistently provided the most accurate predictions, closely matching the actual values. The Generalized Double Hurdle model also performed well, significantly improving accuracy by capturing the complexity of the data. In contrast, models like Poisson, Single Hurdle, and Double Hurdle Poisson showed less predictive accuracy due to higher error rates. Our proposed FGPDH model, enhanced with the
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12

Zhen, Zhen, Liyang Shao, and Lianjun Zhang. "Spatial Hurdle Models for Predicting the Number of Children with Lead Poisoning." International Journal of Environmental Research and Public Health 15, no. 9 (2018): 1792. http://dx.doi.org/10.3390/ijerph15091792.

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Objective The purpose of this study is to identify the high-risk areas of children’s lead poisoning in Syracuse, NY, USA, using spatial modeling techniques. The relationships between the number of children’s lead poisoning cases and three socio-economic and environmental factors (i.e., building year and town taxable value of houses, and soil lead concentration) were investigated. Methods Spatial generalized linear models (including Poisson, negative binomial, Poisson Hurdle, and negative binomial Hurdle models) were used to model the number of children’s lead poisoning cases using the three pr
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Murteira, José M. R., and Mário A. G. Augusto. "Hurdle models of repayment behaviour in personal loan contracts." Empirical Economics 53, no. 2 (2016): 641–67. http://dx.doi.org/10.1007/s00181-016-1140-2.

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14

Hsu, Ai-Chi, and Shu-Chin Liu. "The hurdle models choice between truncated normal and lognormal." Applied Economics 40, no. 2 (2008): 201–7. http://dx.doi.org/10.1080/00036840600749581.

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15

Moon, W. "Hurdle count-data models of meat consumption in Bulgaria." European Review of Agriculture Economics 28, no. 1 (2001): 37–56. http://dx.doi.org/10.1093/erae/28.1.37.

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16

Chen, Jinhe, Zhengzhong Wang, and Hongyuan Tian. "Hurdle-Hop Simulation of Tilt-Rotor Aircraft Based on Optimal Control Theory." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 38, no. 6 (2020): 1266–74. http://dx.doi.org/10.1051/jnwpu/20203861266.

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Aiming at simulating the hurdle-hop of tilt-rotor aircraft in forward flight near the ground, two models of numerical simulation and analysis based on optimal control theory were proposed. Firstly, Longitudinal flight dynamic model for tilt-rotor was modified considering the influence of ground effect. Secondly, the first model is combined with predicted trajectory from inverse simulation method, the inverse model of hurdle-hop of tilt-rotor is established based on optimal trajectory, and the second model is the optimal control model of unpredicted trajectory, which is formulated from the reas
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17

Neelon, Brian, Howard H. Chang, Qiang Ling, and Nicole S. Hastings. "Spatiotemporal hurdle models for zero-inflated count data: Exploring trends in emergency department visits." Statistical Methods in Medical Research 25, no. 6 (2016): 2558–76. http://dx.doi.org/10.1177/0962280214527079.

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Motivated by a study exploring spatiotemporal trends in emergency department use, we develop a class of two-part hurdle models for the analysis of zero-inflated areal count data. The models consist of two components—one for the probability of any emergency department use and one for the number of emergency department visits given use. Through a hierarchical structure, the models incorporate both patient- and region-level predictors, as well as spatially and temporally correlated random effects for each model component. The random effects are assigned multivariate conditionally autoregressive p
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Sari, Fitri Mudia, and Pardomuan Robinson Sihombing. "PEMODELAN PENYAKIT DIFTERI DI SUMATERA BARAT MENGGUNAKAN REGRESI ZERO INFLATED DAN REGRESI HURDLE." EPSILON: JURNAL MATEMATIKA MURNI DAN TERAPAN 15, no. 1 (2021): 66. http://dx.doi.org/10.20527/epsilon.v15i1.3676.

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Data that states the number of events in a certain period of time is called count data. Poisson regression is one of the regression models included in the application of GLM that can be used to model the count data. In Poisson regression, there are assumptions that must be met, namely the mean and variance of the response variables must be the same (equidispersion). Several models that are able to overcome overdispersion due to excess zero are the Zero Inflated model and the Hurdle model. This study examines the characteristics of parameter estimation in the modeling of quantified data that is
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Santos, Régis, Osman Crespo, Wendell Medeiros-Leal, Ana Novoa-Pabon, and Mário Pinho. "Error Distribution Model to Standardize LPUE, CPUE and Survey-Derived Catch Rates of Target and Non-Target Species." Modelling 3, no. 1 (2021): 1–13. http://dx.doi.org/10.3390/modelling3010001.

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Indices of abundance are usually a key input parameter used for fitting a stock assessment model, as they provide abundance estimates representative of the fraction of the stock that is vulnerable to fishing. These indices can be estimated from catches derived from fishery-dependent sources, such as catch per unit effort (CPUE) and landings per unit effort (LPUE), or from scientific survey data (e.g., relative population number—RPN). However, fluctuations in many factors (e.g., vessel size, period, area, gear) may affect the catch rates, bringing the need to evaluate the appropriateness of the
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20

Smirniotou, Athanasia, Flora Panteli, and Apostolos Theodorou. "Target Constraints Influence Locomotion Pattern to the First Hurdle." Motor Control 26, no. 2 (2022): 194–212. http://dx.doi.org/10.1123/mc.2021-0042.

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The study examined to what extent the manipulation of hurdle height (0.76-m hurdle, low hurdle 0.50 m, and white stripe) would affect visual regulation strategies and kinematic reorganization when approaching the first hurdle. In addition, the impact of constraints as a training tool in terms of creating movement patterns functional for and representative of competitive movement models was assessed. The approach phase to the first hurdle of 13 physical education students with no previous experience in hurdling was video recorded and analyzed. Emergence of different footfall variability curves
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21

Schwiebert, Jörg. "Evidence on copula-based double-hurdle models with flexible margins." Empirical Economics 51, no. 1 (2015): 245–89. http://dx.doi.org/10.1007/s00181-015-0994-z.

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22

Molas, Marek, and Emmanuel Lesaffre. "Hurdle models for multilevel zero-inflated data via h-likelihood." Statistics in Medicine 29, no. 30 (2010): 3294–310. http://dx.doi.org/10.1002/sim.3852.

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23

Nketia, Kojo, and Dziedzom K. de Souza. "Using zero-inflated and hurdle regression models to analyze schistosomiasis data of school children in the southern areas of Ghana." PLOS ONE 19, no. 7 (2024): e0304681. http://dx.doi.org/10.1371/journal.pone.0304681.

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Background Schistosomiasis is a neglected disease prevalent in tropical and sub-tropical areas of the world, especially in Africa. Detecting the presence of the disease is based on the detection of the parasites in the stool or urine of children and adults. In such studies, typically, data collected on schistosomiasis infection includes information on many negative individuals leading to a high zero inflation. Thus, in practice, counts data with excessive zeros are common. However, the purpose of this analysis is to apply statistical models to the count data and evaluate their performance and
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YILDIRIM, Gizem, Selahattin KAÇIRANLAR, and Hasan YILDIRIM. "Poisson and negative binomial regression models for zero-inflated data: an experimental study." Communications Faculty Of Science University of Ankara Series A1Mathematics and Statistics 71, no. 2 (2022): 601–15. http://dx.doi.org/10.31801/cfsuasmas.988880.

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Count data regression has been widely used in various disciplines, particularly health area. Classical models like Poisson and negative binomial regression may not provide reasonable performance in the presence of excessive zeros and overdispersion problems. Zero-inflated and Hurdle variants of these models can be a remedy for dealing with these problems. As well as zero-inflated and Hurdle models, alternatives based on some biased estimators like ridge and Liu may improve the performance against to multicollinearity problem except excessive zeros and overdispersion. In this study, ten differe
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Potts, Joanne M., and Jane Elith. "Comparing species abundance models." Ecological Modelling 199, no. 2 (2006): 153–63. https://doi.org/10.5281/zenodo.13511016.

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(Uploaded by Plazi for the Bat Literature Project) Five regression models (Poisson, negative binomial, quasi-Poisson, the hurdle model and the zero-inflated Poisson) were used to assess the relationship between the abundance of a vulnerable plant species, Leionema ralstonii, and the environment. The methods differed in their capacity to deal with common properties of ecological data. They were assessed theoretically, and their predictive performance was evaluated with correlation, calibration and error statistics calculated within a bootstrap evaluation procedure that simulated performance for
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Potts, Joanne M., and Jane Elith. "Comparing species abundance models." Ecological Modelling 199, no. 2 (2006): 153–63. https://doi.org/10.5281/zenodo.13511016.

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(Uploaded by Plazi for the Bat Literature Project) Five regression models (Poisson, negative binomial, quasi-Poisson, the hurdle model and the zero-inflated Poisson) were used to assess the relationship between the abundance of a vulnerable plant species, Leionema ralstonii, and the environment. The methods differed in their capacity to deal with common properties of ecological data. They were assessed theoretically, and their predictive performance was evaluated with correlation, calibration and error statistics calculated within a bootstrap evaluation procedure that simulated performance for
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Potts, Joanne M., and Jane Elith. "Comparing species abundance models." Ecological Modelling 199, no. 2 (2006): 153–63. https://doi.org/10.5281/zenodo.13511016.

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(Uploaded by Plazi for the Bat Literature Project) Five regression models (Poisson, negative binomial, quasi-Poisson, the hurdle model and the zero-inflated Poisson) were used to assess the relationship between the abundance of a vulnerable plant species, Leionema ralstonii, and the environment. The methods differed in their capacity to deal with common properties of ecological data. They were assessed theoretically, and their predictive performance was evaluated with correlation, calibration and error statistics calculated within a bootstrap evaluation procedure that simulated performance for
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Potts, Joanne M., and Jane Elith. "Comparing species abundance models." Ecological Modelling 199, no. 2 (2006): 153–63. https://doi.org/10.5281/zenodo.13511016.

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(Uploaded by Plazi for the Bat Literature Project) Five regression models (Poisson, negative binomial, quasi-Poisson, the hurdle model and the zero-inflated Poisson) were used to assess the relationship between the abundance of a vulnerable plant species, Leionema ralstonii, and the environment. The methods differed in their capacity to deal with common properties of ecological data. They were assessed theoretically, and their predictive performance was evaluated with correlation, calibration and error statistics calculated within a bootstrap evaluation procedure that simulated performance for
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Dickinger, Astrid, and Steffen Zorn. "Compensation Models for Interactive Advertising." JUCS - Journal of Universal Computer Science 14, no. (4) (2008): 557–65. https://doi.org/10.3217/jucs-014-04-0557.

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Due to a shift in the marketing focus from mass to micro markets, the importance of one-to-one communication in advertising has increased. Interactive media provide possible answers to this shift. However, missing standards in payment models for interactive media are a hurdle in the further development. The paper reviews interactive advertising payment models. Furthermore, it adapts the popular FCB grid as a tool for both advertisers and publishers or broadcasters to examine effective interactive payment models.
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Humphreys, Brad. "NEW EVIDENCE ON CONSUMER SPENDING ON GAMBLING." Journal of Gambling Business and Economics 4, no. 2 (2013): 79–100. http://dx.doi.org/10.5750/jgbe.v4i2.557.

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Characteristics of households who participate in gambling markets in the US, and the determinants of household expenditure on gambling, are investigated using data from the Consumer Expenditure Survey (CEX). I estimate empirical models of participation in gambling markets and gambling expenditure using Tobit and double hurdle estimators. A likelihood ratio test rejects Tobit in favor of the double hurdle model. The double hurdle model estimates show that key explanatory variables affect participation and expenditure with different signs. Tobit, which is widely used in the literature, forces th
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Sims, Justin, and Vittorio Addona. "Hurdle Models and Age Effects in the Major League Baseball Draft." Journal of Sports Economics 17, no. 7 (2016): 672–87. http://dx.doi.org/10.1177/1527002514539516.

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Bayart, Caroline, Patrick Bonnel, and Nathalie Havet. "Daily (im)mobility behaviours in France: An application of hurdle models." Transportation Research Part A: Policy and Practice 116 (October 2018): 456–67. http://dx.doi.org/10.1016/j.tra.2018.07.003.

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33

ground, marc, and steven f. koch. "HURDLE MODELS OF ALCOHOL AND TOBACCO EXPENDITURE IN SOUTH AFRICAN HOUSEHOLDS." South African Journal of Economics 76, no. 1 (2008): 132–43. http://dx.doi.org/10.1111/j.1813-6982.2008.00156.x.

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Yusuf, Oyindamola B., Rotimi Felix Afolabi, and Ayoola S. Ayoola. "Modelling Excess Zeros in Count Data with Application to Antenatal Care Utilisation." International Journal of Statistics and Probability 7, no. 3 (2018): 22. http://dx.doi.org/10.5539/ijsp.v7n3p22.

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Poisson and negative binomial regression models have been used as a standard for modelling count outcomes; but these methods do not take into account the problems associated with excess zeros. However, zero-inflated and hurdle models have been proposed to model count data with excess zeros. The study therefore compared the performance of Zero-inflated (Zero-inflated Poisson (ZIP) and Zero-inflated negative binomial (ZINB)), and hurdle (Hurdle Poisson (HP) and Hurdle negative binomial (HNB)) models in determining the factors associated with the number of Antenatal Care (ANC) visits in Nigeria.
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Faroughi, Pouya, Shu Li, and Jiandong Ren. "The Applications of Generalized Poisson Regression Models to Insurance Claim Data." Risks 11, no. 12 (2023): 213. http://dx.doi.org/10.3390/risks11120213.

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Predictive modeling has been widely used for insurance rate making. In this paper, we focus on insurance claim count data and address their common issues with more flexible modeling techniques. In particular, we study the zero-inflated and hurdle-generalized Poisson and negative binomial distributions in a functional form for modeling insurance claim count data. It is shown that these models are useful in addressing the problem of excess zeros and over-dispersion of the claim count variable. In addition, we show that including the exposure as a covariate in both the zero and the count part of
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Maghfiroh, Imroatul, Jamaludin Yusuf, Risdiani Risdiani, and Mega Widya Putri. "The Influence of Hurdle Drill and Zig Zag Running Training Models on Agility at PFK Angels Football Club." JUMORA: Jurnal Moderasi Olahraga 3, no. 2 (2023): 137–49. http://dx.doi.org/10.53863/mor.v3i2.931.

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This study aims to examine: the effect of the hudle drill and zig zag running training models on agility; whether there is an influence of the hurdle drill training model on agility; and whether there is an effect of the zig zag running training model on agility. This research method uses quasi-experiments and the research population is all PFK Angels club players with research samples taken using the total sampling method, so that the research sample is 16 players. The instrument for measuring agility uses the Illimois Agility Test. The data analysis technique used is the T-Test at a signific
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Humphreys, Brad, Yang Seung Lee, and Brian P. Soebbing. "MODELING CONSUMERS' PARTICIPATION IN GAMBLING MARKETS AND FREQUENCY OF GAMBLING." Journal of Gambling Business and Economics 5, no. 1 (2013): 1–22. http://dx.doi.org/10.5750/jgbe.v5i1.562.

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Survey data on participation in gambling typically contain many zeros. The presence of many zeros presents methodological problems for the analysis of participation in gambling markets and gambling expenditure. The most common techniques for handling zeros in gambling data have been the Tobit estimator and the Heckman selectivity estimator. Recent research indicates that hurdle models (Jones 1989, 2000) and the Cragg (1971) model, are better suited to analyze participation in gambling. We apply these models to gambling participation in Canada and find that the double hurdle model is preferred
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Hofstetter, Hedwig, Elise Dusseldorp, Achim Zeileis, and Annemarie A. Schuller. "Modeling Caries Experience: Advantages of the Use of the Hurdle Model." Caries Research 50, no. 6 (2016): 517–26. http://dx.doi.org/10.1159/000448197.

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In dental epidemiology, the decayed (D), missing (M), and filled (F) teeth or surfaces index (DFM index) is a frequently used measure. The DMF index is characterized by a strongly positive skewed distribution with a large stack of zero counts for those individuals without caries experience. Therefore, standard generalized linear models often lead to a poor fit. The hurdle regression model is a highly suitable class to model a DMF index, but its use is subordinated. We aim to overcome the gap between the suitability of the hurdle model to fit DMF indices and the frequency of its use in caries r
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Tullis, Gregory E., Kathleen Spears, and Mark D. Kirk. "Immunological Barriers to Stem Cell Therapy in the Central Nervous System." Stem Cells International 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/507905.

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The central nervous system is vulnerable to many neurodegenerative disorders such as Alzheimer’s disease that result in the extensive loss of neuronal cells. Stem cells have the ability to differentiate into many types of cells, which make them ideal for treating such disorders. Although stem cell therapy has shown some promising results in animal models for many brain disorders it has yet to translate into the clinic. A major hurdle to the translation of stem cell therapy into the clinic is the immune response faced by stem cell transplants. Here, we focus on immunological and related hurdles
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Zhao, Dexian, Zhenkai Sun, Cheng Wang, et al. "Using Count Data Models to Predict Epiphytic Bryophyte Recruitment in Schima superba Gardn. et Champ. Plantations in Urban Forests." Forests 11, no. 2 (2020): 174. http://dx.doi.org/10.3390/f11020174.

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Epiphytic bryophytes are known to perform essential ecosystem functions, but their sensitivity to environmental quality and change makes their survival and development vulnerable to global changes, especially habitat loss in urban environments. Fortunately, extensive urban tree planting programs worldwide have had a positive effect on the colonization and development of epiphytic bryophytes. However, how epiphytic bryophytes occur and grow on planted trees remain poorly known, especially in urban environments. In the present study, we surveyed the distribution of epiphytic bryophytes on tree t
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Dalrymple, M. L., I. L. Hudson, and R. P. K. Ford. "Finite Mixture, Zero-inflated Poisson and Hurdle models with application to SIDS." Computational Statistics & Data Analysis 41, no. 3-4 (2003): 491–504. http://dx.doi.org/10.1016/s0167-9473(02)00187-1.

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Burton, Mike, and Dan Rigby. "Hurdle and Latent Class Approaches to Serial Non-Participation in Choice Models." Environmental and Resource Economics 42, no. 2 (2008): 211–26. http://dx.doi.org/10.1007/s10640-008-9225-9.

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43

Newman, C. "Infrequency of purchase and double-hurdle models of Irish households' meat expenditure." European Review of Agriculture Economics 28, no. 4 (2001): 393–419. http://dx.doi.org/10.1093/erae/28.4.393.

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Corpas-Burgos, Francisca, Gonzalo García-Donato, and Miguel A. Martinez-Beneito. "Some findings on zero-inflated and hurdle poisson models for disease mapping." Statistics in Medicine 37, no. 23 (2018): 3325–37. http://dx.doi.org/10.1002/sim.7819.

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45

Ressa Nuryaningsih, Ani, and Nusar Hajarisman. "Perbandingan Model Regresi Zero Inflated Poisson (ZIP) dan Hurdle Poisson (HP) pada Kasus Kematian Balita di Kota Bandung Tahun 2021." Bandung Conference Series: Statistics 3, no. 2 (2023): 538–47. http://dx.doi.org/10.29313/bcss.v3i2.8522.

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Abstract. In this study, the response variable is assumed to be Poisson-distributed enumeration data. However, in the Poisson regression model, the enumerated data often deviates from the Poisson distribution because of the proportion of excess zero values ​​in the response variable (excess zero), resulting in a larger variance than the average of the observed variables (overdispersion). Therefore, this study aims to model the data with Zero Inflated Poisson (ZIP) and Hurdle Poisson regression. Based on the results of the study by comparing the ZIP and Hurdle Poisson regression models using th
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Dwivedi, Alok K., Sherif E. Elhanafi, Mohamed O. Othman, and Marc J. Zuckerman. "Zero-inflated models for the evaluation of colorectal polyps in colon cancer screening studies—a value-based biostatistics practice." PeerJ 13 (May 26, 2025): e19504. https://doi.org/10.7717/peerj.19504.

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Background 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 with standard count models, which leads to potentially inaccurate findings in research studies. A more appropriate approach for evaluating colon polyps is zero-inflated models, considering undetected existing polyps at colonoscopy screening. Method We demonstrated the application of the zero-inflated and hurdle models including zero-inflated Poi
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Gulácsi, László, Imre Boncz, and Michael Drummond. "Issues for countries considering introducing the “fourth hurdle”: The case of Hungary." International Journal of Technology Assessment in Health Care 20, no. 3 (2004): 337–41. http://dx.doi.org/10.1017/s0266462304001151.

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Objectives:This study outlines the needs and current development of the “fourth hurdle” (i.e., requirement of effectiveness and cost-effectiveness data for drug coverage policy decisions) in Hungary, describes the legal background and seeks to address some of the most important questions in this field.Methods:The study draws on international experiences and discusses five issues that a given jurisdiction needs to consider before introducing the “fourth hurdle” for pharmaceuticals.Results:The “fourth hurdle” is very relevant in Hungary because many existing drugs are unevaluated and many new, e
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48

Affleck, David LR. "Poisson mixture models for regression analysisof stand-level mortality." Canadian Journal of Forest Research 36, no. 11 (2006): 2994–3006. http://dx.doi.org/10.1139/x06-189.

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Periodic stand-level mortality data from permanent plots tend to be highly variable, skewed, and frequently contain many zero observations. Such data have commonly been modeled using nonlinear mortality functions fitted by least squares, and more recently by a two stage approach incorporating a logistic regression step. This study describes a set of nonlinear regression models that structure stochastic variation about a mortality function according to basic probability distributions appropriate for non-negative count data, including the Poisson, negative binomial (NB), and generalized Poisson
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49

Sánchez-Peñalver, Alfonso. "Estimation methods in the presence of corner solutions." Stata Journal: Promoting communications on statistics and Stata 19, no. 1 (2019): 87–111. http://dx.doi.org/10.1177/1536867x19830893.

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In this article, I introduce a new command, nehurdle, that collects maximum likelihood estimators for linear, exponential, homoskedastic, and heteroskedastic tobit; truncated hurdle; and type II tobit models that involve explained variables with corner solutions. I review what a corner solution is as well as the assumptions of the mentioned models.
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50

YEN, STEVEN T. "Gaussian versus count-data hurdle models: cigarette consumption by women in the US." Applied Economics Letters 6, no. 2 (1999): 73–76. http://dx.doi.org/10.1080/135048599353663.

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