Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Complex Zeros01:29

Complex Zeros

421
Complex zeros are the solutions to polynomial equations that include imaginary numbers, specifically, numbers of the form a + bi, where a and b are real numbers and i is the imaginary unit defined by i2=-1. These zeros satisfy the equation P(x) = 0, where P(x) is a polynomial with real or complex coefficients. Since the complex number system includes all real numbers, it provides a complete framework for analyzing all possible roots of a polynomial.Every polynomial of degree n≥1 can be...
421
Real Zeros of Polynomials01:27

Real Zeros of Polynomials

327
Polynomials are algebraic expressions of terms with variables raised to non-negative integer powers. A central aspect of analyzing polynomial functions is determining their real zeros—values of the variable for which the polynomial evaluates to zero. These values represent the x-intercepts of the polynomial’s graph.The Rational Zeros Theorem lists possible rational solutions for a polynomial equation with integer coefficients. If f(x)=anxn+....+a0​, then every rational zero is...
327
Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model01:13

Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model

420
Drugs administered through various routes can lead to nonlinear elimination, resulting in complex pharmacokinetic behaviors crucial to understanding efficacious drug dosing.
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
420
Truncation in Survival Analysis01:09

Truncation in Survival Analysis

700
Truncation in survival analysis refers to the exclusion of individuals or events from the dataset based on specific criteria related to the time of the event. This exclusion can happen in two primary forms: left truncation and right truncation.
Left truncation occurs when individuals who experienced the event of interest before a certain time are not included in the study. This is often due to a "delayed entry" into the study where only those who survive until a certain entry point are...
700
Quadratic Models01:23

Quadratic Models

360
Quadratic models are mathematical representations used to describe relationships in which the rate of change changes at a constant rate. These models appear in a wide variety of natural and engineered systems, especially those involving motion, forces, and optimization. One common application is analyzing the vertical motion of objects influenced by gravity, such as a ball thrown into the air.In such scenarios, the object's height changes over time in a curved pattern, rising to a maximum point...
360
Clearance Models: Noncompartmental Models01:17

Clearance Models: Noncompartmental Models

362
Clearance is a pharmacokinetic parameter traditionally defined by compartment models, signifying the rate at which a drug is expelled from the body. However, a noncompartmental model offers an alternative method for assessing clearance, primarily employing empirical data obtained after administering a single drug dose.
The noncompartmental approach capitalizes on extensive sampling data, correlating the volume of distribution to systemic exposure and the administered dosage. This method enables...
362

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Copy number variation of <i>MYLK4</i> gene and its growth traits of <i>Capra hircus</i> (goat).

Animal biotechnology·2019
Same author

Pax 6 Controls Neural Crest Potential of Limbal Niche Cells to Support Self-Renewal of Limbal Epithelial Stem Cells.

Scientific reports·2019
Same author

Making a Genetic Diagnosis in a Level IV Neonatal Intensive Care Unit Population: Who, When, How, and at What Cost?

The Journal of pediatrics·2019
Same author

Preparation of novel molecularly imprinted magnetic graphene oxide and their application for quercetin determination.

Journal of chromatography. B, Analytical technologies in the biomedical and life sciences·2019
Same author

Carbogenic Nanozyme with Ultrahigh Reactive Nitrogen Species Selectivity for Traumatic Brain Injury.

Nano letters·2019
Same author

Mathematical modeling of the heterogeneous distributions of nanomedicines in solid tumors.

European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V·2019
Same journal

Assessing the Accuracy of Diagnostic Tests.

Shanghai archives of psychiatry·2019
Same journal

Hypokalemia Caused by Quetiapine and Risperidone Treatment in Schizophrenia: A Case Report.

Shanghai archives of psychiatry·2019
Same journal

Posterior Fossa Arachnoid Cyst Presenting as Negative Symptoms of Psychosis.

Shanghai archives of psychiatry·2019
Same journal

Research Status and Strategies for Cognitive Function in Schizophrenia.

Shanghai archives of psychiatry·2019
Same journal

The Effect of Repetitive Transcranial Magnetic Stimulation on the Reinstatement of Methamphetamine-Induced Conditioned Place Preference in Rats.

Shanghai archives of psychiatry·2019
Same journal

Comparison of Olanzapine versus Other Second-Generation Antipsychotics in the Improvement of Insight and Medication Discontinuation Rate in Schizophrenia.

Shanghai archives of psychiatry·2019
See all related articles

Related Experiment Video

Updated: Apr 22, 2026

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

2.9K

Structural zeroes and zero-inflated models.

Hua He1, Wan Tang2, Wenjuan Wang2

  • 1Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY, USA ; Veterans Integrated Service Network, Center of Excellence for Suicide Prevention, Canandaigua VA Medical Center, Canandaigua, NY, USA ; Department of Psychiatry, University of Rochester Medical Center, Rochester, NY, USA.

Shanghai Archives of Psychiatry
|October 16, 2014
PubMed
Summary
This summary is machine-generated.

This study addresses how to accurately analyze count data with many zeros in behavioral research. It introduces the zero-inflated Poisson (ZIP) model to distinguish between structural and random zeros, preventing misinterpretation of health behavior data.

Keywords:
count responserandom zeroesstructural zeroeszero-inflated models

More Related Videos

Setting Limits on Supersymmetry Using Simplified Models
07:46

Setting Limits on Supersymmetry Using Simplified Models

Published on: November 15, 2013

8.2K
Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
08:27

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

6.1K

Related Experiment Videos

Last Updated: Apr 22, 2026

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

2.9K
Setting Limits on Supersymmetry Using Simplified Models
07:46

Setting Limits on Supersymmetry Using Simplified Models

Published on: November 15, 2013

8.2K
Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
08:27

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

6.1K

Area of Science:

  • Psychosocial and Behavioral Sciences
  • Biostatistics
  • Epidemiology

Background:

  • Count outcome data in behavioral studies often exhibit excess zeros due to 'structural zeros' (subjects not at risk).
  • Ignoring the distinction between structural and random zeros can lead to misinterpretations of study findings.
  • The latent nature of structural zeros complicates standard data analysis.

Purpose of the Study:

  • To highlight the importance of distinguishing between structural and random zeros in count data analysis.
  • To introduce and illustrate the application of the zero-inflated Poisson (ZIP) regression model for zero-inflated data.
  • To provide practical guidance for analyzing such data using statistical software.

Main Methods:

  • Overview of the challenges posed by structural zeros in count data.
  • Explanation and application of the zero-inflated Poisson (ZIP) regression model.
  • Demonstration using data from a study on HIV-risk sexual behaviors among adolescent girls.

Main Results:

  • The zero-inflated Poisson (ZIP) model is presented as a suitable method for handling data with a preponderance of zeros.
  • The article illustrates how ZIP analysis can be applied to real-world behavioral data.
  • Sample code for SAS and Stata is provided to facilitate ZIP model implementation.

Conclusions:

  • Accurate analysis of count data with excess zeros requires differentiating between structural and random zeros.
  • The zero-inflated Poisson (ZIP) model offers a robust approach to address this challenge in psychosocial and behavioral research.
  • Proper application of models like ZIP is crucial for valid interpretation of health and behavior outcome frequencies.