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

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

119
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
119
Sampling Methods: Overview01:06

Sampling Methods: Overview

474
A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling. 
In analytical chemistry, the choice of...
474
Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

353
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
353
Sampling Plans01:23

Sampling Plans

241
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
241
Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis00:59

Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis

111
Noncompartmental analyses offer an alternative method for describing drug pharmacokinetics without relying on a specific compartmental model. In this approach, the drug's pharmacokinetics are assumed to be linear, with the terminal phase log-linear. This assumption allows for simplified analysis and interpretation of the drug's behavior in the body.
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...
111
Sampling Methods: Sample Types01:18

Sampling Methods: Sample Types

354
Sampling materials are classified into three main types: solid, liquid, and gas.
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
354

You might also read

Related Articles

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

Sort by
Same author

A new way to address missing data in late-stage clinical trials.

Contemporary clinical trials·2024
Same author

Delta Inflation, Optimism Bias, and Uncertainty in Clinical Trials.

Therapeutic innovation & regulatory science·2024
Same author

Assessing the performance of methods for central statistical monitoring of a binary or continuous outcome in multi-center trials: A simulation study.

Contemporary clinical trials·2024
Same author

The flaw of averages: Bayes factors as posterior means of the likelihood ratio.

Pharmaceutical statistics·2024
Same author

The Study of Alanine Transaminase Activity in Tissues of Silkworm (<i>Bombyx mori</i>) via Direct Analysis in Real-Time (DART) Mass Spectrometry.

Molecules (Basel, Switzerland)·2023
Same author

Epistemic uncertainty in Bayesian predictive probabilities.

Journal of biopharmaceutical statistics·2023
Same journal

Are older adult research participants representative of the general population? Results from 19 clinical studies at one academic research center.

Contemporary clinical trials·2026
Same journal

Multi-site feasibility of a web-based and telephone navigation intervention to connect lung cancer caregivers in community oncology settings with resources: Protocol for the WF-2301CD caregiver oncology needs evaluation tool (CONNECT) trial.

Contemporary clinical trials·2026
Same journal

Rationale and design of a CArdiac rehabilitation program on the prevention of CardioTOXicity in breast Cancer patients undergoing treatment with anthracyclines and/or trastuzumab (CARPTOX-BC) trial: A randomized, active control group, open-label trial.

Contemporary clinical trials·2026
Same journal

Evaluating clinical outcomes of using Undermyfork mobile app with Dexcom G7: Protocol for CGM-Undermyfork randomized controlled trial.

Contemporary clinical trials·2026
Same journal

Outcomes of dyadic recruitment in the promoting re-engagement in meaningful activity (PRIMA) trial.

Contemporary clinical trials·2026
Same journal

Overview of the linking exercise for advancing daily stress (LEADS) management and resilience randomized controlled trial in African American families.

Contemporary clinical trials·2026
See all related articles

Related Experiment Video

Updated: Aug 25, 2025

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation
10:33

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation

Published on: September 4, 2017

15.8K

A parallel sampling framework for model averaging: Application to dose response studies

Charles C Liu1, Ron Xiaolong Yu1

  • 1Department of Biostatistics, Gilead Sciences, Foster City, CA 94404, USA.

Contemporary Clinical Trials
|October 13, 2022
PubMed
Summary

No abstract available in PubMed .

Keywords:
BaggingBayesian model averagingBootstrapEmaxModel complexityModel selection criteria

More Related Videos

Modeling Fast-scan Cyclic Voltammetry Data from Electrically Stimulated Dopamine Neurotransmission Data Using QNsim1.0
07:41

Modeling Fast-scan Cyclic Voltammetry Data from Electrically Stimulated Dopamine Neurotransmission Data Using QNsim1.0

Published on: June 5, 2017

10.0K
Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform
07:57

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform

Published on: March 24, 2022

2.9K

Related Experiment Videos

Last Updated: Aug 25, 2025

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation
10:33

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation

Published on: September 4, 2017

15.8K
Modeling Fast-scan Cyclic Voltammetry Data from Electrically Stimulated Dopamine Neurotransmission Data Using QNsim1.0
07:41

Modeling Fast-scan Cyclic Voltammetry Data from Electrically Stimulated Dopamine Neurotransmission Data Using QNsim1.0

Published on: June 5, 2017

10.0K
Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform
07:57

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform

Published on: March 24, 2022

2.9K