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

Observational Studies01:11

Observational Studies

Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One example of...
Data Collection by Observations01:08

Data Collection by Observations

Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
Randomized Experiments01:13

Randomized Experiments

The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
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...
Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

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...
Study Design in Statistics01:15

Study Design in Statistics

A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...

You might also read

Related Articles

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

Sort by
Same author

Dynamics of domestic cat hepatitis B virus infection in juvenile cats.

Veterinary microbiology·2026
Same author

Big multiple sclerosis data network: novel modelling approaches for real-world data analysis.

Journal of neurology·2025
Same author

Clinical and biological predictors of Cladribine effectiveness in Multiple Sclerosis: A real-world, single Centre study considering a two-year interval from year-2 dosing.

Journal of the neurological sciences·2024
Same author

Investigating strontium isotope linkage between biominerals (uroliths), drinking water and environmental matrices.

Environmental pollution (Barking, Essex : 1987)·2024
Same author

Comparative effectiveness and cost-effectiveness of natalizumab and fingolimod in rapidly evolving severe relapsing-remitting multiple sclerosis in the United Kingdom.

Journal of medical economics·2023
Same author

Impact of methodological choices in comparative effectiveness studies: application in natalizumab versus fingolimod comparison among patients with multiple sclerosis.

BMC medical research methodology·2022

Related Experiment Video

Updated: Jun 19, 2026

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

observational studies: propensity score analysis of non-randomized data.

M Trojano1, F Pellegrini, D Paolicelli

  • 1Department of Neurological and Psychiatric Sciences, University of Bari, Piazza Giulio Cesare 11 70124, Bari, Italy. mtrojano@neurol.uniba.it

International MS Journal
|November 3, 2009
PubMed
Summary

Randomized controlled trials (RCTs) are ideal but often infeasible for chronic diseases like multiple sclerosis (MS). Observational studies, using methods like propensity scores (PS), offer complementary data but remain susceptible to bias.

Related Experiment Videos

Last Updated: Jun 19, 2026

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

Area of Science:

  • Clinical Epidemiology
  • Neurology

Background:

  • Randomized controlled trials (RCTs) are the gold standard for drug efficacy but are often impractical for long-term studies in chronic diseases like multiple sclerosis (MS).
  • Observational studies provide valuable complementary data but are prone to biases.
  • Propensity score (PS) methods are frequently employed to mitigate bias in observational research.

Purpose of the Study:

  • To discuss the role and limitations of observational studies and propensity score (PS) methods in evaluating long-term drug efficacy for chronic diseases, specifically multiple sclerosis (MS).

Main Methods:

  • The abstract discusses the application of propensity score (PS) techniques in observational studies.
  • PS is defined as the probability of receiving a treatment based on pre-treatment characteristics.
  • The use of PS in multiple sclerosis (MS) research is highlighted as a method to adjust for treatment assignment in observational settings.

Main Results:

  • Propensity score (PS) methods are widely used in various therapeutic areas, including MS, to address confounding in observational studies.
  • While PS techniques help adjust for measured confounders, they cannot account for unmeasured or unknown confounding factors.

Conclusions:

  • Observational studies, even with propensity score (PS) adjustments, may not yield conclusions as robust as those from randomized controlled trials (RCTs) due to the potential for unmeasured confounding.
  • The feasibility challenges of RCTs necessitate the use of observational data, emphasizing the need for rigorous methodology.