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

11.6K
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...
11.6K
Data Collection by Observations01:08

Data Collection by Observations

15.8K
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...
15.8K
Naturalistic Observations02:30

Naturalistic Observations

18.2K
If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
18.2K
Study Design in Statistics01:15

Study Design in Statistics

10.4K
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...
10.4K
Observational Learning01:12

Observational Learning

1.5K
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
1.5K
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

1.6K
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...
1.6K

You might also read

Related Articles

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

Sort by
Same author

High acceptance and reported efficacy of cannabis for pain management in patients with rheumatic diseases in Germany: a postlegalisation survey.

EULAR rheumatology open·2026
Same author

Real-world longitudinal assessment of anifrolumab in patients with systemic lupus erythematosus: clinical outcomes, safety and modulation of cytokines and neutrophil activity.

RMD open·2026
Same author

Organ Involvement and Treatment Response across Cutaneous Sarcoidosis Subtypes.

Acta dermato-venereologica·2026
Same author

The Role of Musculoskeletal Ultrasound in Psoriatic Arthritis: From Preclinical Detection to Treatment Monitoring.

Current rheumatology reports·2026
Same author

Prevalence and determinants of sacroiliac joint bone marrow oedema in the general population in Germany: a population-based cross-sectional study.

The Lancet. Rheumatology·2026
Same author

Hot-cold water sound perception and auditory-thermal discrimination.

Attention, perception & psychophysics·2026

Related Experiment Video

Updated: Apr 20, 2026

Measuring Light-Switching Behavior Using an Occupancy and Light Data Logger
05:50

Measuring Light-Switching Behavior Using an Occupancy and Light Data Logger

Published on: January 16, 2020

6.3K

A critical look at observational studies.

Murat Torgutalp1, Didem Sahin2, Koray Tascilar3

  • 1Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany; Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Berlin, Germany; Department of Gastroenterology, Infectiology and Rheumatology (including Nutrition Medicine), Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.

Current Opinion in Immunology
|April 18, 2026
PubMed
Summary
This summary is machine-generated.

Observational studies are vital but prone to errors. This review details methods like directed acyclic graphs to address confounding, bias, and data issues for valid real-world evidence.

More Related Videos

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
11:29

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools

Published on: June 20, 2020

10.0K
Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios
07:43

Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios

Published on: August 4, 2023

2.9K

Related Experiment Videos

Last Updated: Apr 20, 2026

Measuring Light-Switching Behavior Using an Occupancy and Light Data Logger
05:50

Measuring Light-Switching Behavior Using an Occupancy and Light Data Logger

Published on: January 16, 2020

6.3K
Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
11:29

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools

Published on: June 20, 2020

10.0K
Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios
07:43

Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios

Published on: August 4, 2023

2.9K

Area of Science:

  • Epidemiology
  • Biostatistics
  • Observational Research Methods

Background:

  • Observational studies are crucial when randomized trials are not feasible.
  • Routinely collected data (e.g., EHRs) are increasingly used but risk systematic errors.
  • Ensuring the validity of observational data is paramount for evidence-based healthcare.

Purpose of the Study:

  • To review common and critical issues in observational studies.
  • To highlight methods for addressing systematic errors and biases.
  • To provide guidance on analyzing routinely collected health data.

Main Methods:

  • Discussion of confounding and the use of directed acyclic graphs (DAGs) for causal inference.
  • Explanation of collider bias arising from selection processes.
  • Overview of methods for handling time-varying confounding.
  • Review of measurement error, misclassification, and time-to-event analysis challenges.

Main Results:

  • Directed acyclic graphs aid in describing and analyzing causal relationships.
  • Selection bias can create spurious associations, requiring careful consideration.
  • Specific estimation methods are needed for time-varying confounding.
  • Techniques for handling competing events and missing data are essential.

Conclusions:

  • Addressing confounding, bias, and data quality issues is critical for valid observational research.
  • Advanced statistical methods are necessary to overcome challenges in routinely collected data.
  • This review provides a foundation for improving the reliability of real-world evidence.