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Related Concept Videos

Clinical Trials01:16

Clinical Trials

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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.
There are four phases in a clinical trial. A phase one...
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Clinical Trials: Overview01:11

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Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
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Study Designs in Epidemiology01:20

Study Designs in Epidemiology

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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...
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Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

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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:
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Randomized Experiments01:13

Randomized Experiments

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The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
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Principles of Disease Surveillance01:26

Principles of Disease Surveillance

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Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
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Related Experiment Video

Updated: Dec 25, 2025

A Clinical Trial Assessing the Safety, Efficacy, and Delivery of Olive-Oil-Based Three-Chamber Bags for Parenteral Nutrition
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Creating a Framework for Conducting Randomized Clinical Trials during Disease Outbreaks

Natalie E Dean1, Pierre-Stéphane Gsell1, Ron Brookmeyer1

  • 1From the Department of Biostatistics, University of Florida, Gainesville (N.E.D., I.M.L.); the World Health Organization, Geneva (P.-S.G., A.M.H.-R.); the Department of Biostatistics, University of California, Los Angeles (R.B.); the Department of Biostatistics, Yale University, New Haven, CT (F.W.C.); the Department of Statistics (C.A.D.) and the Centre for Tropical Medicine and Global Health (P.H.), University of Oxford, Oxford, the Medical Research Council (MRC) Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London (C.A.D.), and the MRC Tropical Epidemiology Group, London School of Hygiene and Tropical Medicine (P.G.S.), London, and the Department of Mathematics and Statistics, Lancaster University, Lancaster (T.J.) - all in the United Kingdom; the Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia (S.S.E.); the Department of Biostatistics, University of Washington (T.R.F., M.E.H.), and the Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center (M.E.H.) - both in Seattle; the Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring (P.R.K.), and the Biostatistics Research Branch, National Institute of Allergy and Infectious Diseases, Bethesda (M.C.N.) - both in Maryland; Institut National de Recherche Biomédicale, Kinshasa, Democratic Republic of Congo (S.M., J.-J.M.-T.); and the Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute (R.W.), and the Department of Biostatistics, Harvard T.H. Chan School of Public Health (R.W., V.D.G.) - both in Boston.

The New England Journal of Medicine
|April 4, 2020
PubMed
Summary

No abstract available in PubMed .

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