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Related Concept Videos

Longitudinal Research02:20

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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...
Observational Studies01:11

Observational Studies

Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One example of...
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
Longitudinal Studies01:26

Longitudinal Studies

Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...

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Related Experiment Video

Updated: Jun 27, 2026

Basics of Multivariate Analysis in Neuroimaging Data
06:35

Basics of Multivariate Analysis in Neuroimaging Data

Published on: July 25, 2010

Rinaldo Bellomo's seminal contribution to observational research using the ANZICS CORE registry.

Michael Bailey1, Sean M Bagshaw2, Graeme K Hart3,4

  • 1Australian and New Zealand Intensive Care Research Centre, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.

Critical Care and Resuscitation : Journal of the Australasian Academy of Critical Care Medicine
|January 30, 2026
PubMed
Summary

Rinaldo Bellomo pioneered critical care advancements using observational data from the ANZICS CORE Registry. His work demonstrated how registry studies could inform policy and change practice in critical care medicine.

Keywords:
ANZICS COREAdult patient databaseCritical careObservational researchRegistryTrial design

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Area of Science:

  • Critical Care Medicine
  • Health Services Research
  • Clinical Epidemiology

Background:

  • Rinaldo Bellomo significantly advanced critical care through randomized trials and observational data analysis.
  • He emphasized the value of the ANZICS Centre for Outcome and Resource Evaluation (ANZICS CORE) Registry for informing policy and practice.

Purpose of the Study:

  • To review Rinaldo Bellomo's key contributions to critical care using ANZICS CORE data.
  • To highlight the impact of registry studies on clinical practice and policy.
  • To underscore the enduring legacy of his work and mentorship.

Main Methods:

  • Analysis of observational data from the ANZICS CORE Registry.
  • Review of publications in high-impact journals (e.g., NEJM, JAMA).
  • Examination of Bellomo's work on sepsis, acute kidney injury, glycaemic control, temperature management, and health equity.

Main Results:

  • Demonstrated that curated registry studies could effectively inform policy and change practice.
  • Identified epidemiological trends and clinically relevant questions using the Adult Patient Database.
  • Showcased the impact of his research on global dialogue and guideline development.

Conclusions:

  • Rinaldo Bellomo's rigorous use of registry data significantly shaped critical care.
  • His legacy persists through valuable datasets and mentored researchers.
  • The ANZICS CORE Registry remains a vital resource for critical care research and practice improvement.