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

Binomial Probability Distribution01:15

Binomial Probability Distribution

11.1K
A binomial distribution is a probability distribution for a procedure with a fixed number of trials, where each trial can have only two outcomes.
The outcomes of a binomial experiment fit a binomial probability distribution. A statistical experiment can be classified as a binomial experiment if the following conditions are met:
There are a fixed number of trials. Think of trials as repetitions of an experiment. The letter n denotes the number of trials.
There are only two possible outcomes,...
11.1K
Parametric Survival Analysis: Weibull and Exponential Methods01:14

Parametric Survival Analysis: Weibull and Exponential Methods

472
Parametric survival analysis models survival data by assuming a specific probability distribution for the time until an event occurs. The Weibull and exponential distributions are two of the most commonly used methods in this context, due to their versatility and relatively straightforward application.
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
472
Truncation in Survival Analysis01:09

Truncation in Survival Analysis

235
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...
235
Distributions to Estimate Population Parameter01:26

Distributions to Estimate Population Parameter

4.1K
The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...
4.1K
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

64
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
64
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

408
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
408

You might also read

Related Articles

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

Sort by
Same author

Phylogenetic Curved Optimal Regression for Adaptive Trait Evolution.

Entropy (Basel, Switzerland)·2021
Same author

On the Matrix Condition of Phylogenetic Tree.

Evolutionary bioinformatics online·2020
Same author

Neutralization of five subgenotypes of Enterovirus 71 by Taiwanese human plasma and Taiwanese plasma derived intravenous immunoglobulin.

Biologicals : journal of the International Association of Biological Standardization·2013
Same author

A novel antitubulin agent, DPQZ, induces cell apoptosis in human oral cancer cells through Ras/Raf inhibition and MAP kinases activation.

Archives of toxicology·2012
Same author

Analyzing titers of antibodies against bacterial and viral antigens, and bacterial toxoids in the intravenous immunoglobulins utilized in Taiwan.

Biologicals : journal of the International Association of Biological Standardization·2012
Same author

Method of compensating for pixel migration in volume holographic optical disc (VHOD).

Optics express·2012
Same journal

Spatial Heterogeneity of Phytoplankton Taxa and Functional Groups Under Multidimensional Environmental Factors in Karst Urban Rivers.

Biology·2026
Same journal

Paleopathology of a Lower Miocene Carettochelyid Turtle from the Moghra Formation, Egypt.

Biology·2026
Same journal

Effects of Type I Diabetes Mellitus and Masticatory Loading on Mandibular Growth in Growing Rats: A Longitudinal CBCT Study.

Biology·2026
Same journal

Data-Limited Stock Status Assessment of Bonga Shad, <i>Ethmalosa fimbriata</i> (Bowdich, 1825) and Lesser African Threadfin, <i>Galeoides decadactylus</i> (Bloch, 1795) in the Central Gulf of Guinea.

Biology·2026
Same journal

Gonadogenesis in the Bearded Dragon (<i>Pogona vitticeps</i>, Agamidae): A Comprehensive Histological Analysis from Gonadal Ridge Formation to Testicular and Ovarian Development.

Biology·2026
Same journal

The Programmable Microbiome: Integrative AI and Multi-Omics Frameworks for Precision T2DM Management.

Biology·2026
See all related articles

Related Experiment Video

Updated: Jul 18, 2025

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

3.4K

A Novel Phylogenetic Negative Binomial Regression Model for Count-Dependent Variables.

Dwueng-Chwuan Jhwueng1, Chi-Yu Wu1

  • 1Department of Statistics, Feng-Chia University, Taichung 407, Taiwan.

Biology
|August 26, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a new phylogenetic negative binomial regression model to analyze count data in related species. The model accounts for shared ancestry, overcoming limitations of traditional generalized linear models (GLMs).

Keywords:
Poisson regressiongeneralized estimating equationnegative binomial regressionphylogenetic comparative analysistrait evolution

More Related Videos

Methodology for Developing Life Tables for Sessile Insects in the Field Using the Whitefly, Bemisia tabaci, in Cotton As a Model System
09:23

Methodology for Developing Life Tables for Sessile Insects in the Field Using the Whitefly, Bemisia tabaci, in Cotton As a Model System

Published on: November 1, 2017

12.0K
Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients
07:34

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients

Published on: August 22, 2018

8.3K

Related Experiment Videos

Last Updated: Jul 18, 2025

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

3.4K
Methodology for Developing Life Tables for Sessile Insects in the Field Using the Whitefly, Bemisia tabaci, in Cotton As a Model System
09:23

Methodology for Developing Life Tables for Sessile Insects in the Field Using the Whitefly, Bemisia tabaci, in Cotton As a Model System

Published on: November 1, 2017

12.0K
Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients
07:34

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients

Published on: August 22, 2018

8.3K

Area of Science:

  • Evolutionary biology
  • Biostatistics
  • Quantitative genetics

Background:

  • Generalized linear models (GLMs) assume data independence, which is violated in phylogenetically related species due to shared ancestry.
  • Existing phylogenetic models may not adequately handle overdispersion in count-dependent variables.

Purpose of the Study:

  • To develop a novel phylogenetic negative binomial regression model for analyzing count data in related species.
  • To address overdispersion and phylogenetic dependence in trait data.

Main Methods:

  • Development of a phylogenetic negative binomial regression model.
  • Utilizing the generalized estimating equation (GEE) framework for parameter estimation.
  • Validation through simulation studies and empirical application to lizard and mammalian trait data.

Main Results:

  • The proposed model effectively handles overdispersion and phylogenetic dependence.
  • Simulation studies confirmed the model's reasonable efficacy.
  • Empirical analysis revealed correlations between reproductive traits (egg mass, litter size) and lifespan with yearly counts.

Conclusions:

  • The novel phylogenetic negative binomial regression model provides accurate analyses of count data in related species.
  • Accounting for shared ancestry is crucial for understanding trait evolution.
  • The model advances methodologies for analyzing phylogenetically structured data.