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

Significance Testing: Overview01:04

Significance Testing: Overview

3.4K
Significance testing is a set of statistical methods used to test whether a claim about a parameter is valid. In analytical chemistry, significance testing is used primarily to determine whether the difference between two values comes from determinate or random errors. The effect of a particular change in the measurement protocol, analyst, or sample itself can cause a deviation from the expected result. In the case of a suspected deviation/outlier, we need to be able to confirm mathematically...
3.4K
Statistical Significance01:50

Statistical Significance

20.1K
Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
20.1K
Statistical Hypothesis Testing01:16

Statistical Hypothesis Testing

1.9K
Hypothesis testing is a critical statistical procedure facilitating informed, evidence-based decisions. It begins with a hypothesis, which is a tentative explanation, or a prediction about a population parameter. This hypothesis can be either a null hypothesis (H0), indicating no effect or difference, or an alternative hypothesis (Ha), suggesting an effect or difference.
Statistical significance measures the probability that an observed result occurred by chance. If this probability, known as...
1.9K
Statgraphics01:10

Statgraphics

124
Statgraphics is a comprehensive statistical software suite designed for both basic and advanced data analysis. Originating in 1980 at Princeton University under Dr. Neil W. Polhemus, it was one of the pioneering tools for statistical computing on personal computers, with its public release in 1982 marking an early milestone in data science software. Over the years, it has evolved into a robust platform for data science, offering tools for regression analysis, ANOVA, multivariate statistics,...
124
Critical Region, Critical Values and Significance Level01:16

Critical Region, Critical Values and Significance Level

11.9K
The critical region, critical value, and significance level are interdependent concepts crucial in hypothesis testing.
In hypothesis testing, a sample statistic is converted to a test statistic using z, t, or chi-square distribution. A critical region is an area under the curve in  probability distributions demarcated by the critical value. When the test statistic falls in this region, it suggests that the null hypothesis must be rejected. As this region contains all those values of the...
11.9K
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

4.0K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
4.0K

You might also read

Related Articles

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

Sort by
Same author

Conflicts of interest and interpretive authority in oncology.

European journal of cancer (Oxford, England : 1990)·2026
Same author

Letter to the Editor Regarding 'Overall Survival with Apalutamide Versus Enzalutamide in Metastatic Castration-Sensitive Prostate Cancer'.

Advances in therapy·2025
Same author

Abiraterone vs Enzalutamide Among US Veterans With Metastatic Hormone-Sensitive Prostate Cancer.

JAMA network open·2025
Same author

Combined HDAC and eIF4A inhibition: A novel epigenetic therapy for pancreatic ductal adenocarcinoma.

Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy·2025
Same author

Highlights of ASCO 2025.

The oncologist·2025
Same author

From dimensions through dynamics to outcomes - lymph nodes and skin assessments predict CTCL outcomes.

Leukemia & lymphoma·2025
Same journal

Sociodemographic trends in prostate cancer: Insights from the all of Us research program.

JNCI cancer spectrum·2026
Same journal

Association between author specialty and reported outcomes in nonrandomized comparisons of prostatectomy versus radiation.

JNCI cancer spectrum·2026
Same journal

Association of cancer antigen 15-3 with distant recurrence in immunohistochemically defined breast cancer subtypes in Canadian Cancer Trials Group MA.32.

JNCI cancer spectrum·2026
Same journal

Response to bates.

JNCI cancer spectrum·2026
Same journal

RE: Rural-urban disparities and trends in cancer screening: an analysis of Behavioral Risk Factor Surveillance System data (2018-2022).

JNCI cancer spectrum·2026
Same journal

Pandemic-era increases in late-stage pediatric cancer diagnoses, 2020-2022.

JNCI cancer spectrum·2026
See all related articles

Related Experiment Video

Updated: Jun 27, 2025

Author Spotlight: Impact of Physical Barriers on Rodent Populations in Farmland Areas
03:29

Author Spotlight: Impact of Physical Barriers on Rodent Populations in Farmland Areas

Published on: March 8, 2024

580

The statistical significance revolution.

Alfred I Neugut1,2, Tito Fojo1,3

  • 1Department of Medicine and Herbert Irving Comprehensive Cancer Center, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA.

JNCI Cancer Spectrum
|April 29, 2024
PubMed
Summary
This summary is machine-generated.

The P value threshold of .05 for statistical significance is too rigid. Experts advocate for more flexible P value use and increased reliance on 95% confidence intervals in oncology research.

More Related Videos

Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior
09:49

Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior

Published on: April 16, 2014

25.3K
Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI
06:26

Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI

Published on: November 27, 2019

70.7K

Related Experiment Videos

Last Updated: Jun 27, 2025

Author Spotlight: Impact of Physical Barriers on Rodent Populations in Farmland Areas
03:29

Author Spotlight: Impact of Physical Barriers on Rodent Populations in Farmland Areas

Published on: March 8, 2024

580
Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior
09:49

Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior

Published on: April 16, 2014

25.3K
Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI
06:26

Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI

Published on: November 27, 2019

70.7K

Area of Science:

  • Statistics
  • Oncology Data Analysis

Background:

  • The conventional P value threshold of .05 is a long-standing criterion for statistical significance.
  • This rigid threshold has led to problematic practices and faced criticism for inflexibility.

Purpose of the Study:

  • To advocate for a more flexible approach to P values in statistical analysis.
  • To promote greater utilization of 95% confidence intervals in oncology research.

Main Methods:

  • Review of statistical significance criteria.
  • Analysis of current practices in data interpretation.

Main Results:

  • The .05 P value threshold, while functional, has limitations.
  • There is a growing consensus among statisticians and methodologists for change.

Conclusions:

  • A shift towards greater flexibility in P value interpretation is recommended.
  • Increased reliance on 95% confidence intervals is likely to impact future oncology data analysis and interpretation.