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

Randomized Experiments01:13

Randomized Experiments

6.6K
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...
6.6K
Random Sampling Method01:09

Random Sampling Method

10.9K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...
10.9K
Blinding01:11

Blinding

2.3K
Blinding is a commonly used method of not telling participants which treatment a subject is receiving. Blinding is a critical part of a randomized control trial or RCT. It reduces the bias that affects the results. In an RCT, blinding is used in the form of a placebo. A placebo effect occurs when untreated subjects falsely believe they have received the treatment and report improved symptoms. A placebo or a dummy treatment is administered to subjects to negate the bias caused by such an effect.
2.3K
Censoring Survival Data01:09

Censoring Survival Data

40
Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
40
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

63
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
63
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

279
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
279

You might also read

Related Articles

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

Sort by
Same author

How and when do work stressors and peer norms impact career entrants' alcohol-related behavior and its consequences?

Human relations; studies towards the integration of the social sciences·2026
Same author

Platform trial of smartphone-based cognitive-behavioural therapy (CBT) for depressive symptoms among people with no or subthreshold depression: a protocol for the Best, Efficient and Affordable Training in Resilience in Constant Evolution (BEATRICE) platform trial.

BMJ open·2026
Same author

Exploring Strategies for a Digital Tool to Support Medication Adherence Among Adolescents and Young Adults Undergoing Hematopoietic Stem Cell Transplant and Their Care Partners: Qualitative Formative Study.

JMIR formative research·2026
Same author

Using Digital Technology to Increase Integration of Meditation into Daily Life: The Case for Meditation-Based Ecological Momentary Interventions.

Journal of technology in behavioral science·2025
Same author

Reinforcement Learning on Dyads to Enhance Medication Adherence.

Artificial intelligence in medicine. Conference on Artificial Intelligence in Medicine (2005- )·2025
Same author

Venesection and resolution of erythrocytosis are not associated with reduced thrombotic risk in secondary and idiopathic polycythaemia: Results from a dual centre, 5-year retrospective study.

British journal of haematology·2025
Same journal

Fast penalized generalized estimating equations for large longitudinal functional datasets.

Biometrics·2026
Same journal

Causally-interpretable random-effects meta-analysis.

Biometrics·2026
Same journal

Statistical inference for mean function of partially observed functional time series.

Biometrics·2026
Same journal

Subgroup identification via Interaction Tree and Mixed Model for Repeated Measures with application to Alzheimer's disease.

Biometrics·2026
Same journal

Finite mixtures of linear quantile regressions with concomitant variables: a solution to endogeneity in longitudinal data modeling.

Biometrics·2026
Same journal

Discussion on "INTACT: a method for integration of longitudinal physical activity data from multiple sources" by Jingru Zhang, Erjia Cui, Hongzhe Li, and Haochang Shou.

Biometrics·2026
See all related articles

Related Experiment Video

Updated: May 9, 2025

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

14.3K

Data integration methods for micro-randomized trials.

E Huch1,2, I Nahum-Shani2, L Potter3

  • 1Department of Statistics, University of Michigan, Ann Arbor, MI 48109, United States.

Biometrics
|May 6, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces new statistical methods for analyzing micro-randomized trials (MRTs) by integrating data from multiple trials. These advanced techniques improve efficiency and reduce standard errors in causal effect estimation for interventions.

Keywords:
causal excursion effectmeta-analysismicro-randomized trialmobile health

More Related Videos

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
06:05

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

1.2K
Author Spotlight: Exploring the Impact of Reduced Resistance Exercise Volume on Metabolic Health
06:13

Author Spotlight: Exploring the Impact of Reduced Resistance Exercise Volume on Metabolic Health

Published on: December 1, 2023

1.0K

Related Experiment Videos

Last Updated: May 9, 2025

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

14.3K
The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
06:05

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

1.2K
Author Spotlight: Exploring the Impact of Reduced Resistance Exercise Volume on Metabolic Health
06:13

Author Spotlight: Exploring the Impact of Reduced Resistance Exercise Volume on Metabolic Health

Published on: December 1, 2023

1.0K

Area of Science:

  • Biostatistics
  • Clinical Trials Methodology
  • Health Services Research

Background:

  • Current statistical methods for micro-randomized trials (MRTs) analyze single trials for causal excursion effects.
  • Researchers often have access to multiple similar MRTs, presenting an opportunity for data integration.

Purpose of the Study:

  • To develop and evaluate data integration methods for analyzing multiple MRTs.
  • To enhance statistical efficiency and precision in estimating causal effects from MRT data.

Main Methods:

  • Developed data integration methods to leverage information from previous MRTs.
  • Applied a generalized multivariate precision weighting approach to combine estimates, accounting for correlations.
  • Demonstrated asymptotic optimality of the meta-estimator.

Main Results:

  • Proposed methods significantly increase statistical efficiency.
  • Simulations and a smoking cessation case study showed over 30% reduction in standard errors.
  • Maintained asymptotic unbiasedness and calibrated statistical inference.

Conclusions:

  • Data integration and advanced weighting methods offer substantial efficiency gains in MRT analysis.
  • These methods provide a powerful tool for researchers working with multiple related MRTs.
  • The approach ensures reliable causal effect estimation without compromising statistical validity.