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

Improving Translational Accuracy02:07

Improving Translational Accuracy

14.1K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
14.1K
Improving Translational Accuracy02:07

Improving Translational Accuracy

3.6K
3.6K
Accuracy and Errors in Hypothesis Testing01:13

Accuracy and Errors in Hypothesis Testing

569
Hypothesis testing is a fundamental statistical tool that begins with the assumption that the null hypothesis H0 is true. During this process, two types of errors can occur: Type I and Type II. A Type I error refers to the incorrect rejection of a true null hypothesis, while a Type II error involves the failure to reject a false null hypothesis.
In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5%...
569
Uncertainty in Measurement: Accuracy and Precision03:37

Uncertainty in Measurement: Accuracy and Precision

100.5K
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. 
100.5K
Predicting Molecular Geometry02:27

Predicting Molecular Geometry

45.5K
VSEPR Theory for Determination of Electron Pair Geometries
45.5K
Accuracy and Precision01:52

Accuracy and Precision

14.6K
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.  Highly accurate...
14.6K

You might also read

Related Articles

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

Sort by
Same author

Considerations for Using the Ages and Stages Questionnaire.

JAMA pediatrics·2026
Same author

Variation of Prenatal Detection of Congenital Heart Disease in Infants: Updated Analysis of The Society of Thoracic Surgeons Congenital Heart Surgery Database.

The Annals of thoracic surgery·2025
Same author

Spinal Cord Protection for Open Descending Thoracic and Thoracoabdominal Aorta Surgery: Analysis of The Society of Thoracic Surgeons Adult Cardiac Surgery Database.

The Annals of thoracic surgery·2025
Same author

Race-Specific versus Race-Neutral Pulmonary Function Predicted Values in Patients with Operable Lung Cancer.

Annals of the American Thoracic Society·2025
Same author

National practice patterns for the use of regional anesthesia for pediatric cardiac surgery: An analysis of the Society of Thoracic Surgeons congenital heart surgery database.

Journal of clinical anesthesia·2025
Same author

Contemporary Practice of Native Coarctation in Children Greater Than One Year of Age: A Society of Thoracic Surgeons Analysis.

World journal for pediatric & congenital heart surgery·2025
Same journal

Prehospital Factors Associated with Low-Acuity Status Among Pediatric Emergency Medical Services Transports in a Multicenter EMS Sample.

Academic pediatrics·2026
Same journal

Advances in Efforts to Enhance Care Coordination and Wellbeing among Family Caregivers of Children with Medical Complexity.

Academic pediatrics·2026
Same journal

Integrating a Research-Based Type 1 Diabetes Autoantibody Screening Protocol into an Economically and Culturally Diverse Federally Qualified Health Center.

Academic pediatrics·2026
Same journal

Male youth perspectives on a pre-visit mobile health app for sexual and reproductive health and care.

Academic pediatrics·2026
Same journal

Advances in Increasing Access to Care for the Treatment of Child and Adolescent Eating Disorders: Primary Care and Beyond.

Academic pediatrics·2026
Same journal

Making What Matters Most Matter: A Quality Improvement Project to Ask What Matters Most to Hospitalized Children.

Academic pediatrics·2026
See all related articles

Related Experiment Video

Updated: Jan 23, 2026

Author Spotlight: Enhanced Urodynamic Method for Precise Urine Measurement in Awake Mice with Neurogenic Bladder
06:46

Author Spotlight: Enhanced Urodynamic Method for Precise Urine Measurement in Awake Mice with Neurogenic Bladder

Published on: June 7, 2024

1.4K

Combining Two Developmental Screening Tests to Improve Predictive Accuracy.

Bonnie W Camp1, Levi N Bonnell1

  • 1University of Colorado School of Medicine, Aurora, Colo.

Academic Pediatrics
|June 21, 2019
PubMed
Summary
This summary is machine-generated.

Combining developmental screening tests like the Ages and Stages Questionnaires (ASQ) and Parents Evaluation of Developmental Status (PEDS) improves accuracy. This approach enhances predictive value for identifying developmental delays in children.

Keywords:
Ages and Stages QuestionnairesParents Evaluation of Developmental Statuscombining screening testsdevelopmental screening accuracylikelihood ratiosreferral threshold

More Related Videos

Combined Supine and Standing Imaging for Varicocele: An Improved Diagnostic Approach
04:15

Combined Supine and Standing Imaging for Varicocele: An Improved Diagnostic Approach

Published on: November 22, 2024

652
A Neural Network-Based Identification of Developmentally Competent or Incompetent Mouse Fully-Grown Oocytes
10:04

A Neural Network-Based Identification of Developmentally Competent or Incompetent Mouse Fully-Grown Oocytes

Published on: March 3, 2018

7.1K

Related Experiment Videos

Last Updated: Jan 23, 2026

Author Spotlight: Enhanced Urodynamic Method for Precise Urine Measurement in Awake Mice with Neurogenic Bladder
06:46

Author Spotlight: Enhanced Urodynamic Method for Precise Urine Measurement in Awake Mice with Neurogenic Bladder

Published on: June 7, 2024

1.4K
Combined Supine and Standing Imaging for Varicocele: An Improved Diagnostic Approach
04:15

Combined Supine and Standing Imaging for Varicocele: An Improved Diagnostic Approach

Published on: November 22, 2024

652
A Neural Network-Based Identification of Developmentally Competent or Incompetent Mouse Fully-Grown Oocytes
10:04

A Neural Network-Based Identification of Developmentally Competent or Incompetent Mouse Fully-Grown Oocytes

Published on: March 3, 2018

7.1K

Area of Science:

  • Pediatric developmental screening
  • Clinical decision support

Background:

  • Single developmental screening tests often lack sufficient predictive value for clinical decisions, with less than 50% of referred children actually exhibiting delays.
  • Combining screening tools can potentially enhance accuracy and reduce false positives/negatives in developmental assessments.

Purpose of the Study:

  • To evaluate the predictive value (PV) of combining the Ages and Stages Questionnaires (ASQ) and Parents Evaluation of Developmental Status (PEDS) screening tests.
  • To assess how different likelihood ratio (LR) thresholds impact the accuracy of developmental delay referrals.

Main Methods:

  • Utilized data from 328 children (ages 12-60 months) from primary care, including ASQ, PEDS, and diagnostic assessments.
  • Calculated likelihood ratios (LRs) for various ASQ/PEDS combinations and analyzed predictive value using different referral thresholds.

Main Results:

  • Setting a referral threshold at LR 2.0 for combined scores reduced false positives from 66 to 28 and improved positive predictive value (PPV) from 30% to 47%.
  • Sensitivity decreased from 82% to 74%, while specificity improved from 72% to 90%.
  • Increasing LR referral thresholds improved PV but created an inconclusive group requiring further assessment.

Conclusions:

  • Combining ASQ and PEDS significantly enhances the predictive accuracy for developmental delay referrals.
  • Higher referral thresholds improve predictive value but necessitate strategies for managing an emerging inconclusive group.
  • Further research is needed to identify information aiding decision-making for children in the inconclusive category.