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Related Concept Videos

The Evidence for Evolution02:55

The Evidence for Evolution

Genetic variations accumulating within populations over generations give rise to biological evolution. Evolutionary changes can result in the formation of novel varieties and entire new species. These changes are responsible for the diverse forms of life inhabiting the planet. The evidence for evolution suggests that all living organisms descended from common ancestors.The collection of fossils within sedimentary rocks give a record of common ancestry and often depicts the history of evolution.
Confirmation Biases01:31

Confirmation Biases

The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
Bioequivalence studies: Biowaivers01:13

Bioequivalence studies: Biowaivers

In certain scenarios, in vitro dissolution tests can replace in vivo bioequivalence studies. This is particularly true when a drug product, though available in varying strengths, maintains proportional similarity in its active and inactive ingredients. In such cases, the need for in vivo bioequivalence studies for lower strength variants may be waived, provided dissolution tests and in vivo studies on the highest strength yield satisfactory results.Bioequivalence can be indicated through...
Hypothesis: Accept or Fail to Reject?01:17

Hypothesis: Accept or Fail to Reject?

The outcome of any hypothesis testing leads to rejecting or not rejecting the null hypothesis. This decision is taken based on the analysis of the data, an appropriate test statistic, an appropriate confidence level, the critical values, and P-values. However, when the evidence suggests that the null hypothesis cannot be rejected, is it right to say, 'Accept' the null hypothesis?
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Clinical Trials01:16

Clinical Trials

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.
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Eyewitness Memory01:22

Eyewitness Memory

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Related Experiment Video

Updated: Jun 28, 2026

Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting
06:16

Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting

Published on: June 6, 2020

Waiting lists: waiting for the evidence!

Owen M Bradfield

    Australian Health Review : a Publication of the Australian Hospital Association
    |November 5, 2008
    PubMed
    Summary

    Public hospital waiting lists are often politically manipulated and not reliable health system performance indicators. This analysis examines the evidence and offers policy recommendations for accurate health system assessment.

    Area of Science:

    • Health policy analysis
    • Public health system performance measurement
    • Healthcare economics

    Background:

    • Political discourse frequently utilizes public hospital waiting lists as a metric for health system performance.
    • Recent increases in elective surgery wait times and changes to private health insurance thresholds raise concerns about public hospital capacity.
    • Policy decisions are often made in direct response to perceived trends in waiting list data.

    Discussion:

    • This paper critically evaluates the validity of public hospital waiting lists as a true indicator of overall health system performance.
    • It examines how political motivations and media portrayals can distort the interpretation of waiting list data.
    • The analysis considers the impact of external factors, such as private health insurance trends, on public waiting lists.

    Related Experiment Videos

    Last Updated: Jun 28, 2026

    Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting
    06:16

    Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting

    Published on: June 6, 2020

    Key Insights:

    • Public hospital waiting lists are not a comprehensive or consistently valid measure of health system performance.
    • Political point-scoring and media narratives often overshadow objective data analysis.
    • Evidence suggests that focusing solely on waiting lists can lead to suboptimal health policy development.

    Outlook:

    • Recommends developing more robust and multifaceted indicators for assessing health system performance.
    • Suggests policy frameworks that are evidence-based rather than politically expedient.
    • Advocates for a nuanced approach to healthcare management that considers the full spectrum of patient needs and system pressures.