Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Multiple Allele Traits

Multiple Allele Traits

The Concept of Multiple Allelism

Binomial Probability Distribution

Binomial Probability Distribution

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,...

Data: Types and Distribution

Data: Types and Distribution

In biostatistics, data are the observations collected for analysis. There are two main types: parametric and non-parametric. Parametric data, which include continuous (e.g., weight) and discrete numerical data (e.g., number of tablets), assume a particular distribution pattern, often the normal distribution. Non-parametric data do not adhere to a specific distribution and typically comprise nominal (e.g., gender) and ordinal categorical data (e.g., pain scale ratings).
Distributions in...

Contingency Table

Contingency Table

A contingency table provides a way of portraying data that can facilitate calculating probabilities. It is a method of displaying a frequency distribution as a table with rows and columns to show how two variables may be dependent (contingent) upon each other; The table helps determine conditional probabilities quite quickly and can help systematically organize, analyze and quantify data. The table displays sample values concerning two variables that may be dependent or contingent on one...

Behavioral Genetics and Its Designs

Behavioral Genetics and Its Designs

Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...

Probability Distributions

Probability Distributions

The probability of a random variable x is the likelihood of its occurrence. A probability distribution represents the probabilities of a random variable using a formula, graph, or table. There are two types of probability distribution– discrete probability distribution and continuous probability distribution.
A discrete probability distribution is a probability distribution of discrete random variables. It can be categorized into binomial probability distribution and Poisson probability...

You might also read

Related Articles

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

Sort by

Same author

From crisis to continuity: An analysis of factors associated with COVID-19 outbreak severity in Illinois nursing homes postpandemic.

American journal of infection control·2026

Same author

Perspectives of preclinical and clinical medical students on surgical specialties: a single-center cross-sectional study in Türkiye.

BMC medical education·2025

Same author

Neural networks underlying magnitude perception: a specific meta-analysis of fMRI studies.

Cerebral cortex (New York, N.Y. : 1991)·2025

Same author

Distinguishing Features of Childhood Renal Dysplasia.

Klinische Padiatrie·2024

Same author

Repeated home drinking water sampling to improve detection of particulate lead spikes: a simulation study.

Journal of exposure science & environmental epidemiology·2023

Same author

Conducting research on building psychosocial support for Syrian refugee families in a humanitarian emergency.

Conflict and health·2021

Search research articles

Related Experiment Video

Updated: May 25, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

Simultaneous generation of binary and normal data with specified marginal and association structures.

Hakan Demirtas¹, Beyza Doganay

¹Department of Biostatistics, Division of Epidemiology and Biostatistics, University of Illinois at Chicago, Chicago, Illinois 60612, USA. demirtas@uic.edu

Journal of Biopharmaceutical Statistics

|January 19, 2012

Summary

This summary is machine-generated.

This study introduces a unified framework for simulating multiple binary and normal variables together. This method aids in evaluating statistical techniques for mixed data in biopharmaceutical research.

More Related Videos

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

Published on: September 17, 2019

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

Related Experiment Videos

Last Updated: May 25, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

Published on: September 17, 2019

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

Area of Science:

Biostatistics
Statistical Modeling
Computational Statistics

Background:

Joint modeling of mixed data types is increasingly vital in biopharmaceutical practice.
Evaluating statistical techniques for mixed data requires joint variable generation in simulations.

Purpose of the Study:

To develop a unified framework for simultaneously simulating multiple binary and normal variables.
To facilitate the evaluation of statistical methods for mixed-type data analysis.

Main Methods:

Combines established random number generation techniques.
Develops a unified simulation framework for mixed binary and normal variables.
Utilizes marginal characteristics and association structures for simulation.

Main Results:

Demonstrates a unified framework for joint simulation of mixed variable types.
Achieves close resemblance between specified and computed statistical quantities.
Validates the approach using both artificial and real-world psychiatric data.

Conclusions:

The proposed framework effectively simulates mixed binary and normal variables.
This approach supports robust evaluation of statistical methods for complex biopharmaceutical data.
The framework is applicable to both simulated and real-world datasets.