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

11.4K
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...
11.4K
Naturalistic Observations02:30

Naturalistic Observations

18.1K
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...
18.1K
Regression Toward the Mean01:52

Regression Toward the Mean

7.3K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
7.3K
Data Collection by Observations01:08

Data Collection by Observations

15.6K
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...
15.6K
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

704
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...
704
Study Design in Statistics01:15

Study Design in Statistics

10.3K
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...
10.3K

You might also read

Related Articles

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

Sort by
Same author

Prolonged Cytopenia After Idecabtagene Vicleucel for Multiple Myeloma is Associated with Poor Overall Survival.

Transplantation and cellular therapy·2026
Same author

Donor-Specific Transplant Outcomes from BMTCTN 1702: A Multi-Center Prospective Biological-Assignment Trial.

Blood advances·2026
Same author

TITE-safety: a robust time-to-event safety monitoring approach for clinical trials.

Biometrics·2026
Same author

Hematopoietic Cell Transplant Access and Patient Diversity.

JAMA network open·2026
Same author

Safety and efficacy of ciltacabtagene autoleucel for relapsed/refractory multiple myeloma: a CIBMTR study.

Blood cancer journal·2026
Same author

Statistical Methods for Chimeric Antigen Receptor Cell Therapy Outcomes: A Review and Practical Considerations.

Transplantation and cellular therapy·2026
Same journal

ASTCT Notes.

Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation·2021
Same journal

ASTCT Notes.

Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation·2021
Same journal

End of headings.

Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation·2021
Same journal

ASTCT Notes.

Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation·2021
Same journal

Improving Hematopoietic Stem Cell Transplant in the Elderly: Can We Finally Start to Impact Nonrelapse Mortality?

Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation·2020
Same journal

Cardiovascular Events Associated with Chimeric Antigen Receptor T Cell Therapy: Cross-Sectional FDA Adverse Events Reporting System Analysis.

Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation·2020
See all related articles

Related Experiment Video

Updated: Mar 28, 2026

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups
14:14

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups

Published on: May 13, 2022

6.5K

Observational Studies: Matching or Regression?

Ruta Brazauskas1, Brent R Logan1

  • 1Division of Biostatistics and Center for International Blood and Marrow Transplant Research, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin.

Biology of Blood and Marrow Transplantation : Journal of the American Society for Blood and Marrow Transplantation
|December 30, 2015
PubMed
Summary
This summary is machine-generated.

For observational studies, Cox regression modeling on the entire cohort is more effective than matched pair studies for detecting treatment effects. This approach enhances the power of time-to-event analyses in clinical research.

Keywords:
Cox regression modelHematopoietic stem cell transplantationMatched pairs studyObservational studies

More Related Videos

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients
07:34

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients

Published on: August 22, 2018

8.7K
Establishing a Competing Risk Regression Nomogram Model for Survival Data
04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

11.0K

Related Experiment Videos

Last Updated: Mar 28, 2026

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups
14:14

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups

Published on: May 13, 2022

6.5K
Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients
07:34

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients

Published on: August 22, 2018

8.7K
Establishing a Competing Risk Regression Nomogram Model for Survival Data
04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

11.0K

Area of Science:

  • Biostatistics
  • Clinical Epidemiology
  • Observational Studies

Background:

  • Observational studies often have imbalanced baseline patient characteristics between treatment groups.
  • Adjustments are necessary to accurately assess treatment effects and compare patient groups.
  • Common adjustment methods include regression modeling and matched pair studies.

Purpose of the Study:

  • To compare the effectiveness of Cox regression modeling versus matched pair studies in detecting treatment effects.
  • To evaluate the power of these methods in time-to-event analyses within observational research.
  • To provide guidance on selecting appropriate statistical methods for comparative effectiveness research.

Main Methods:

  • Comparative analysis of statistical methods for observational studies.
  • Evaluation of Cox regression modeling applied to the entire cohort.
  • Assessment of matched pair study designs.
  • Utilizing time-to-event data analysis techniques.
  • Application to real-world data from a hematopoietic cell transplantation study.

Main Results:

  • Cox regression modeling applied to the entire cohort demonstrated greater statistical power in detecting treatment effects compared to matched pair studies.
  • Matched pair studies, while improving group comparability, may reduce the power to detect treatment effects in time-to-event analyses.
  • The findings were illustrated using a practical example from hematopoietic cell transplantation research.

Conclusions:

  • Cox regression modeling is frequently a more powerful approach than matched pair studies for identifying treatment effects in time-to-event observational studies.
  • Researchers should consider the statistical power implications when choosing between regression modeling and matching techniques.
  • The choice of method can significantly impact the ability to detect meaningful treatment effects in clinical research.