Hurdle negative binomial regression model with right censored count data
A Poisson model typically is assumed for count data. In many cases because of many zeros
in the response variable, the mean is not equal to the variance value of the dependent …
in the response variable, the mean is not equal to the variance value of the dependent …
Evaluating drug use relapse event rate and its associated factors using Poisson model
A Amirabadizadeh, S Nakhaee, S Ghasemi… - Journal of Substance …, 2021 - Taylor & Francis
Background: Drug use is a chronic and recurrent disease, and many individuals return to
using drugs a short time after rehabilitation treatment. This study investigated factors …
using drugs a short time after rehabilitation treatment. This study investigated factors …
An implicit measure of growth mindset uniquely predicts post-failure learning behavior
Research on implicit theories of intelligence (aka intelligence mindset) has shown that
endorsing a stronger growth mindset (the belief that intelligence can be improved) is …
endorsing a stronger growth mindset (the belief that intelligence can be improved) is …
A Poisson-multinomial mixture approach to grouped and right-censored counts
Although count data are often collected in social, psychological, and epidemiological
surveys in grouped and right-censored categories, there is a lack of statistical methods …
surveys in grouped and right-censored categories, there is a lack of statistical methods …
EM Estimation for Zero- and k-Inflated Poisson Regression Model
M Arora, NR Chaganty - Computation, 2021 - mdpi.com
Count data with excessive zeros are ubiquitous in healthcare, medical, and scientific
studies. There are numerous articles that show how to fit Poisson and other models which …
studies. There are numerous articles that show how to fit Poisson and other models which …
[PDF][PDF] Handling of over-dispersion of count data via truncation using poisson regression model
A Poisson model typically is assumed for count data. It is assumed to have the same value
for expectation and variance in a Poisson distribution, but most of the time there is over …
for expectation and variance in a Poisson distribution, but most of the time there is over …
Asymptotic results in censored zero-inflated Poisson regression
VT Nguyen, JF Dupuy - Communications in Statistics-Theory and …, 2021 - Taylor & Francis
This paper investigates properties of the maximum-likelihood estimator (MLE) in the zero-
inflated Poisson regression model with randomly right-censored counts. Consistency and …
inflated Poisson regression model with randomly right-censored counts. Consistency and …
Shrinkage estimation in the zero-inflated Poisson regression model with right-censored data
In this article, we improve parameter estimation in the zero-inflated Poisson regression
model using shrinkage strategies when it is suspected that the regression parameter vector …
model using shrinkage strategies when it is suspected that the regression parameter vector …
A flexible regression model for zero- and k-inflated count data
M Arora, N Rao Chaganty, KF Sellers - Journal of Statistical …, 2021 - Taylor & Francis
Count data with inflated zeros commonly occur in numerous research studies. Accordingly,
there is substantive literature regarding zero-inflated Poisson and analogous generalizable …
there is substantive literature regarding zero-inflated Poisson and analogous generalizable …
Parameter estimation on hurdle Poisson regression model with censored data
A Poisson model typically is assumed for count data. In many cases, there are many zeros in
the dependent variable and because of these many zeros, the mean and the variance …
the dependent variable and because of these many zeros, the mean and the variance …