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

Clinical Trials01:16

Clinical Trials

10.0K
Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
10.0K
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

146
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
146
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

263
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
263
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

1.1K
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...
1.1K
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

709
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
709
Study Design in Statistics01:15

Study Design in Statistics

9.7K
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...
9.7K

You might also read

Related Articles

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

Sort by
Same author

Adjuvant Nivolumab vs Observation in Resected Non-Small Cell Lung Cancer: A Randomized Clinical Trial.

JAMA·2026
Same author

Pembrolizumab with or without chemotherapy among older adults with advanced lung adenocarcinoma: a national, nonrandomized open-label phase II trial (Alliance A171901).

Journal of the National Cancer Institute·2026
Same author

A lifecycle governance and learning health system framework for trustworthy, generalizable, and sustainable human-ai partnership in clinical practice: Lessons from the asthma-guidance and prediction system (A-GPS).

Journal of the National Medical Association·2026
Same author

Rhythm-specific association of epinephrine with outcomes in non-shockable cardiac arrest: a nationwide propensity-matched study.

Resuscitation·2026
Same author

PRO-ADD: Patient-empowered dose-finding trials integrating safety, preliminary efficacy and patient-reported outcomes for optimal dose selection.

Statistical methods in medical research·2026
Same author

Consciousness Disturbances Reported With Clindamycin Versus Cefazolin in Surgical Patients: A Global Pharmacovigilance Analysis Using VigiBase.

Clinical and translational science·2026
Same journal

Obesity Promotes Lung Carcinogenesis Through Airway Immune Dysfunction.

Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer·2026
Same journal

Corrigendum to 'The Ninth Edition Staging Project Publications' [Journal of Thoracic Oncology (2022-2024)].

Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer·2026
Same journal

Brief Report: Aumolertinib as a Switch Therapy in Osimertinib-Intolerant NSCLC: The ACTIVE Trial.

Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer·2026
Same journal

Brief Report: Proposed clinical trial guidelines based on clinicopathological heterogeneity of metastatic pulmonary large cell neuroendocrine carcinoma (LCNEC).

Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer·2026
Same journal

Corrigendum to 'Patient-Reported Outcomes With Consolidation Durvalumab Versus Placebo After Concurrent Chemoradiotherapy in Limited-Stage SCLC: Results From the Phase 3 ADRIATIC Trial' [Journal of Thoracic Oncology volume 21 issue 6 (2026) 103564].

Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer·2026
Same journal

ctDNA based MRD detection in stage III NSCLC treated with chemoradiotherapy and durvalumab.

Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer·2026
See all related articles

Related Experiment Video

Updated: Nov 15, 2025

An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.3K

Statistical Models in Clinical Studies.

Shigeyuki Matsui1, Jennifer Le-Rademacher2, Sumithra J Mandrekar2

  • 1Department of Biostatistics, Nagoya University Graduate School of Medicine, Nagoya, Japan; Department of Data Science, The Institute of Statistical Mathematics, Tokyo, Japan.

Journal of Thoracic Oncology : Official Publication of the International Association for the Study of Lung Cancer
|March 1, 2021
PubMed
Summary
This summary is machine-generated.

Interpreting statistical models in clinical research can be challenging. This guide helps researchers understand regression models and encourages collaboration with statisticians for better study design and analysis.

Keywords:
Classification and predictionEffect AssessmentMultivariable modelsRegression modelsStatistical modelsUnivariable models

More Related Videos

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

14.9K
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

883

Related Experiment Videos

Last Updated: Nov 15, 2025

An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.3K
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

14.9K
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

883

Area of Science:

  • Clinical research methodology
  • Biostatistics

Background:

  • Statistical models are crucial for clinical data analysis.
  • Interpreting these models demands a solid grasp of statistical principles.
  • Understanding data characteristics is often limited, complicating statistical modeling.

Purpose of the Study:

  • To offer guidance on using regression models in clinical research.
  • To assist clinical researchers in interpreting statistical model results.
  • To promote collaboration between investigators and statisticians.

Main Methods:

  • Guidance on applying regression models.
  • Emphasis on understanding statistical frameworks.
  • Recommendations for study design and data analysis.

Main Results:

  • Improved interpretation of statistical model outputs.
  • Enhanced understanding of regression model application.
  • Facilitation of effective researcher-statistician collaboration.

Conclusions:

  • Clearer interpretation of statistical models aids clinical research.
  • Collaboration with statisticians is vital for robust study design and analysis.
  • Effective use of statistical modeling enhances research validity.