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

Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

266
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...
266
Cancer Survival Analysis01:21

Cancer Survival Analysis

433
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
433
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

762
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...
762
Study Design in Statistics01:15

Study Design in Statistics

8.4K
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...
8.4K
Kaplan-Meier Approach01:24

Kaplan-Meier Approach

239
The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
239
Survival Curves01:18

Survival Curves

275
Survival curves are graphical representations that depict the survival experience of a population over time, offering an intuitive way to track the proportion of individuals who remain event-free at each time point. These curves are widely used in fields such as medicine, public health, and reliability engineering to visualize and compare survival probabilities across different groups or conditions.
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
275

You might also read

Related Articles

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

Sort by
Same author

Disparities in Advance Care Planning: Did COVID-19 Change Anything?

Journal of the American Geriatrics Society·2026
Same author

Joint Modeling of Quality of Life and Survival Using a Bayesian Approach in a Retrospective Time Scale.

Statistics in medicine·2026
Same author

Predictors of Readiness to Engage in Advance Care Planning Among Older Adults With Serious Illness: Baseline Findings From the EQUAL ACP Study.

Journal of the American Geriatrics Society·2026
Same author

Cancer treatment shared decision-making and coping during the COVID-19 pandemic (CAN-DECIDE): a mixed-methods study.

BMC palliative care·2025
Same author

Enhancing Team Science by Training Collaborative Biostatisticians to have a Strong Statistical Voice.

Journal of statistical theory and practice·2025
Same author

Development of an electronic health record model to predict law enforcement presence in pediatric emergency department encounters.

The American journal of emergency medicine·2025
Same journal

Bereaved Parents and Spouses as Educators in Pediatric Simulation: Ethical Reflections.

Journal of pain and symptom management·2026
Same journal

The Unplugged Patient: A Case Report on Bridging the Digital Divide in Palliative Care.

Journal of pain and symptom management·2026
Same journal

Barriers perceived by palliative care fellowships in training physicians from diverse specialties.

Journal of pain and symptom management·2026
Same journal

Health Equity: Foundation of Serious Illness Care.

Journal of pain and symptom management·2026
Same journal

Coping with Breathlessness in Individuals with Lung Diseases: A Systematic Review and Meta-Synthesis.

Journal of pain and symptom management·2026
Same journal

Growing the Next Generation of Hospice and Palliative Medicine Researchers.

Journal of pain and symptom management·2026
See all related articles

Related Experiment Video

Updated: Sep 1, 2025

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant
05:18

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

Published on: October 6, 2023

1.5K

A Visual Tool to Help Develop a Statistical Analysis Plan for Randomized Trials in Palliative Care.

Gregory Samsa1, Kathryn Colborn2, Maren Olsen1

  • 1Department of Biostatistics and Bioinformatics (G.S., M.O., G.M.P., S.G., M.N., J.T.), Duke University School of Medicine, Durham NC.

Journal of Pain and Symptom Management
|August 15, 2022
PubMed
Summary
This summary is machine-generated.

Illustrating statisticians' conceptualization using directed acyclic graphs (DAGs) can improve collaboration on statistical analysis plans. DAGs offer a visual and actionable tool for developing robust statistical strategies.

Keywords:
ConstructivismRandomized trialsStatistical analysis planStatistical consultation

More Related Videos

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

362
Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment
08:36

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment

Published on: April 19, 2024

687

Related Experiment Videos

Last Updated: Sep 1, 2025

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant
05:18

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

Published on: October 6, 2023

1.5K
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

362
Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment
08:36

Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment

Published on: April 19, 2024

687

Area of Science:

  • Biostatistics
  • Data Science
  • Research Methodology

Background:

  • Effective collaboration between researchers and statisticians is crucial for robust study design.
  • Developing a statistical analysis plan (SAP) requires clear communication of analytical strategies.

Purpose of the Study:

  • To demonstrate how directed acyclic graphs (DAGs) can enhance the conceptualization of statistical tasks.
  • To present DAGs as a tool for improving collaboration in SAP development.

Main Methods:

  • Conceptualizing statistical analysis planning through the lens of directed acyclic graphs (DAGs).
  • Utilizing DAGs to visually represent the statistician's approach to data analysis.

Main Results:

  • DAGs provide a clear illustration of a statistician's thought process in designing an SAP.
  • The visual nature of DAGs facilitates better understanding and communication during collaborative planning.

Conclusions:

  • Directed acyclic graphs (DAGs) serve as an effective tool for enhancing statistical analysis plan development.
  • Implementing DAGs can lead to more efficient and productive collaborations between researchers and statisticians.