Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Steps in Outbreak Investigation

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:

Predicting Products: Substitution vs. Elimination

Predicting Products: Substitution vs. Elimination

When a nucleophile and an alkyl halide react, nucleophilic substitution and β-elimination reactions compete to generate products.
The following factors can influence the mechanisms competing against each other:

Prediction Intervals

Prediction Intervals

The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.

Predicting Reaction Outcomes

Predicting Reaction Outcomes

Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...

Residuals and Least-Squares Property

Residuals and Least-Squares Property

The vertical distance between the actual value of y and the estimated value of y. In other words, it measures the vertical distance between the actual data point and the predicted point on the line
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...

Quantifying and Rejecting Outliers: The Grubbs Test

Quantifying and Rejecting Outliers: The Grubbs Test

Sometimes, a data set can have a recorded numerical observation that greatly deviates from the rest of the data. Assuming that the data is normally distributed, a statistical method called the Grubbs test can be used to determine whether the observation is truly an outlier. To perform a two-tailed Grubbs test, first, calculate the absolute difference between the outlier and the mean. Then, calculate the ratio between this difference and the standard deviation of the sample. This...

You might also read

Related Articles

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

Sort by

Same author

Zanthoxylum nitidum-derived active alkaloid nitidine chloride mitigates ulcerative colitis by remodeling gut microbiota and activating SIRT1 to restore intestinal barrier integrity.

Phytomedicine : international journal of phytotherapy and phytopharmacology·2026

Same author

Oleuropein derived from olive leaves inhibits the activity of <i>Helicobacter pylori</i> urease: network pharmacology, inhibition kinetics, and mechanistic insights.

RSC advances·2026

Same author

Pharmaceuticals, personal care-products and current-use pesticides: a review of the available data from European seas.

Environmental research·2026

Same author

Access to and engagement with healthcare services among women with Children's Social Care involvement during the perinatal period who subsequently died: a confidential enquiry.

BMJ public health·2026

Same author

Therapeutic Promise of the <i>Panax</i> Genus in Ulcerative Colitis: Unraveling the Multitarget Mechanisms of Saponins and Polysaccharides.

Journal of agricultural and food chemistry·2026

Same author

Biogenesis, preparation, characterization, therapeutic mechanisms and safety evaluation of plant-derived exosome-like nanovesicles in the treatment of ulcerative colitis.

Journal of nanobiotechnology·2026

Search research articles

Related Experiment Video

Updated: Aug 6, 2025

Automated Counterflow Centrifugal System for Small-Scale Cell Processing

Automated Counterflow Centrifugal System for Small-Scale Cell Processing

Published on: December 12, 2019

An algorithm for predicting job vacancies using online job postings in Australia.

David Evans¹, Claire Mason¹, Haohui Chen¹

¹CSIRO, Canberra, ACT Australia.

Humanities & Social Sciences Communications

|March 20, 2023

Summary

This study introduces a new algorithm using online job postings to accurately measure job vacancies. The method provides timely and reliable labour market data for policymakers.

Keywords:

More Related Videos

The Application of Open Searching-based Approaches for the Identification of Acinetobacter baumannii O-linked Glycopeptides

The Application of Open Searching-based Approaches for the Identification of Acinetobacter baumannii O-linked Glycopeptides

Published on: November 2, 2021

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Published on: May 31, 2019

Related Experiment Videos

Last Updated: Aug 6, 2025

Automated Counterflow Centrifugal System for Small-Scale Cell Processing

Automated Counterflow Centrifugal System for Small-Scale Cell Processing

Published on: December 12, 2019

The Application of Open Searching-based Approaches for the Identification of Acinetobacter baumannii O-linked Glycopeptides

The Application of Open Searching-based Approaches for the Identification of Acinetobacter baumannii O-linked Glycopeptides

Published on: November 2, 2021

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Published on: May 31, 2019

Area of Science:

Labour Economics
Data Science
Econometrics

Background:

Accurate labour market statistics are crucial for economic policy.
Official job vacancy estimates are precise but infrequent, hindering rapid policy response.
Online job postings offer high-frequency data but lack accuracy.

Purpose of the Study:

To develop a robust algorithm for measuring job vacancies using online job postings.
To enhance the timeliness and accuracy of labour market indicators.
To provide a reliable method for tracking changes in job vacancies.

Main Methods:

Development of a robust signal averaging algorithm.
Application of the algorithm to Australian online job postings data.
Validation against official job vacancy estimates over a 4.5-year period.

Main Results:

The algorithm accurately predicts changes in job vacancies.
The developed method significantly outperforms using raw job posting counts.
Demonstrated reliability and timeliness in measuring labour market dynamics.

Conclusions:

The signal averaging algorithm offers a promising approach for timely and reliable job vacancy measurement.
Online job postings, when processed with this algorithm, can serve as a valuable leading indicator for the labour market.
This methodology supports evidence-based economic policymaking through improved data availability.