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

Chi-square Analysis02:46

Chi-square Analysis

The chi-square test is a statistical hypothesis test. It is used to check whether there is a significant difference between an expected value and an observed value. In the context of genetics, it enables us to either accept or reject a hypothesis, based on how much the observed values deviate from the expected values.
The chi-square test was developed by Pearson in 1990.
The first step of performing a Chi-square analysis is to establish a null hypothesis, which assumes that there is no real...
Statistical Analysis: Overview01:11

Statistical Analysis: Overview

When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
Biostatistics: Overview01:20

Biostatistics: Overview

Biostatistics plays a crucial role in understanding and analyzing data in healthcare and biology. Biostatisticians conduct experiments, gather evidence, and draw meaningful conclusions using statistical methods and techniques. Different variables form the foundation of biostatistical analysis, allowing researchers to understand and interpret data effectively. These variables are classified into different types, each serving a specific purpose in statistical analysis.
Discrete variables are...
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

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:
Cross-Sectional Research01:50

Cross-Sectional Research

In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...

You might also read

Related Articles

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

Sort by
Same author

Noncommunicable Diseases and Nutrition Disorders in Occupational Health.

Nutrients·2026
Same author

Pathological Processes Among Content Creators on Social Media: Scoping Review.

JMIR public health and surveillance·2025
Same author

Population interest in and adequacy of the information on the safety of antineoplastic agents in the Spanish edition of Wikipedia.

PloS one·2025
Same author

Public interest in drug-related problems reflected in information search trends: an infodemiological study.

Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences·2024
Same author

Computer programs used in the field of hospital pharmacy for the management of dangerous drugs: systematic review of literature.

Frontiers in public health·2023
Same author

Population Interest in Information on Obesity, Nutrition, and Occupational Health and Its Relationship with the Prevalence of Obesity: An Infodemiological Study.

Nutrients·2023

Related Experiment Video

Updated: May 31, 2026

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

Croatian bibliometric analysis, 2000-2007.

Dan S Radut1, Javier Sanz-Valero

  • 1University of Alicante, Department of Community Nursing, Preventive Medicine, Public Health and History of Science, Spain. radut@ua.es

Collegium Antropologicum
|July 16, 2011
PubMed
Summary
This summary is machine-generated.

This study developed effective search filters to estimate Croatian scientific output in Public Health and Preventive Medicine. The filters accurately retrieved research published between 2000-2007.

Related Experiment Videos

Last Updated: May 31, 2026

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

Area of Science:

  • Bibliometrics
  • Scientific Documentation
  • Public Health
  • Preventive Medicine

Background:

  • Estimating national scientific output is crucial for research assessment.
  • Developing precise search strategies for specific fields like Public Health and Preventive Medicine is challenging.
  • MEDLINE is a key database for biomedical literature, but requires refined search filters for country-specific data.

Purpose of the Study:

  • To develop and evaluate search filters for retrieving Croatian scientific output in Public Health and Preventive Medicine from MEDLINE.
  • To estimate the volume and trends of Croatian research in these fields between 2000 and 2007.
  • To assess the performance (sensitivity and specificity) of the developed search filters.

Main Methods:

  • A PubMed search of MEDLINE was conducted for articles added between 2000-2007.
  • Search filters were designed based on geographical origin, publication place, subject, and language.
  • Filter performance was evaluated using sensitivity and specificity calculations.

Main Results:

  • The developed search filters successfully retrieved Croatian scientific output in Public Health-Preventive Medicine for the 2000-2007 period.
  • The filters demonstrated high performance with 95.56% sensitivity and 100% specificity.
  • An increasing trend in global and Croatian scientific output in Public Health-Preventive Medicine was observed, primarily in English and Croatian.

Conclusions:

  • The constructed search filters are effective tools for retrieving specific national scientific output from MEDLINE.
  • The study highlights the growing research contribution of Croatia in Public Health and Preventive Medicine.
  • Further research into developing and refining search filters is recommended for scientific documentation.