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

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs01:15

Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs

Bioequivalence experimental study designs play a pivotal role in testing the effectiveness of various treatments. Key among these are the repeated measures, cross-over, carry-over, and Latin square designs. In the repeated measures design, each subject receives all treatments, allowing for temporal comparisons. This type of design is useful in reducing variability but requires careful planning to avoid bias.The cross-over design, an economical method, involves sequential administration of...
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and Cox...
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.
Bioequivalence: Overview01:16

Bioequivalence: Overview

Pharmaceutical equivalents, by definition, are drug products with the same active ingredient in the same quantities, encapsulated in identical dosage forms, and intended for the same administration routes. These pharmaceutical equivalents are deemed bioequivalent if the bioavailability of the active entity in the drug preparations is similar. Moreover, pharmaceutical equivalents demonstrating bioequivalence are also regarded as therapeutically equivalent. This means that when used as directed,...
Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs01:20

Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs

Bioequivalence experimental study designs are crucial methodologies used in evaluating and comparing the bioavailability of different drug products. These designs are categorized into various types: completely randomized, randomized block, repeated measures, cross and carry-over, and Latin square designs.Completely randomized designs involve randomly allocating treatments to all subjects participating in the experiment. This allocation is achieved by assigning unique random numbers to subjects...

You might also read

Related Articles

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

Sort by
Same authorSame journal

Hail, Not Frail! MA's Wellness Reach Expands.

Managed care (Langhorne, Pa.)·2019
Same authorSame journal

Thanks to CMS Rule Change, MA Takes SDOH to a Whole New Level.

Managed care (Langhorne, Pa.)·2019
Same author

A Conversation with Jennifer Graff, National Pharmaceutical Council VP. Real-World Evidence Might Take a Decade to be Fully Established.

Managed care (Langhorne, Pa.)·2019
Same author

HIV/AIDS treatment drastically reduces mortality and helps limit transmission.

Managed care (Langhorne, Pa.)·2019
Same author

Why the new opioid bill won't really change the way insurers approach the epidemic.

Managed care (Langhorne, Pa.)·2019
Same author

Ah, Look at All the Lonely People (And Resultant Health Problems Thereof).

Managed care (Langhorne, Pa.)·2018
Same journal

To Be Continued:The Search for a Cure for HIV.

Managed care (Langhorne, Pa.)·2019
Same journal

Once-a-day HIV Treatment: Pricey But Perhaps Worth It.

Managed care (Langhorne, Pa.)·2019
Same journal

In Trump, HIV/AIDS Groups Find an Ally Who's Tough To Love.

Managed care (Langhorne, Pa.)·2019
Same journal

Air Ambulance Turbulence: Consolidation, Cost Shifting, and Surprise Billing.

Managed care (Langhorne, Pa.)·2019
See all related articles

Related Experiment Video

Updated: Jun 17, 2026

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
14:43

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

Published on: January 12, 2018

Research topics underpin comparative effectiveness

Frank Diamond

    Managed Care (Langhorne, Pa.)
    |December 17, 2009
    PubMed
    Summary

    No abstract available in PubMed .

    More Related Videos

    Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
    06:55

    Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

    Published on: January 8, 2020

    Related Experiment Videos

    Last Updated: Jun 17, 2026

    A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
    14:43

    A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

    Published on: January 12, 2018

    Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
    06:55

    Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

    Published on: January 8, 2020