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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.
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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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Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
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Depending on the target organ, local anesthetics (LAs) can be administered via various routes. In surface anesthesia, LAs are applied directly to the surface of the skin or mucous membranes. It is widely used for topical skin numbing before venipuncture or minor surgical procedures. Commonly used surface local anesthetics are lidocaine or benzocaine sprays or creams. Surface anesthesia occurs within 5 minutes and lasts for about 60 minutes. One of the main disadvantages of topical anesthesia is...
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A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
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Block Diagram Reduction01:22

Block Diagram Reduction

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The process of deriving the transfer function of a control system often involves reducing its block diagram to a single block. This simplification can be achieved through a series of strategic operations, including relocating branch points and comparators. These operations preserve the overall function of the system while allowing for easier manipulation and combination of blocks.
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Merged block randomisation: A novel randomisation procedure for small clinical trials.

Stéphanie L van der Pas1,2

  • 11 Medical Statistics, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.

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|February 15, 2019
PubMed
Summary

Merged block randomisation offers a novel, predictable, and balanced approach for small clinical trials. This method enhances randomisation, proving superior to permuted block randomisation, especially in multicentre settings.

Keywords:
Restricted random allocationchronological biasmerged block randomisationpermuted block randomisationselection biassmall clinical trialsstratified randomisation

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Area of Science:

  • Clinical Trial Design
  • Biostatistics
  • Medical Research Methodology

Background:

  • Randomisation in small clinical trials faces challenges balancing group allocation and unpredictability.
  • Permuted block randomisation, a common method, is criticised for its high predictability.
  • A novel restricted randomisation design, merged block randomisation, is introduced for small trials.

Purpose of the Study:

  • To investigate the balance and predictability of merged block randomisation.
  • To compare merged block randomisation against other methods in single-centre and multicentre settings.

Main Methods:

  • A simulation study was conducted to evaluate merged block randomisation.
  • Methods compared included permuted block randomisation, biased coin design, maximal procedure, block urn, and big stick designs.
  • The study considered single-centre and multicentre trial scenarios with stratification per centre.

Main Results:

  • Merged block randomisation demonstrates equal maximum tolerated imbalance to permuted block randomisation (block size 4), offering similar protection against chronological bias.
  • Merged block randomisation is less predictable than permuted block randomisation.
  • In all simulated settings, merged block randomisation was either less predictable or more balanced than comparator methods.

Conclusions:

  • Merged block randomisation is a versatile restricted randomisation method suitable for small clinical trials.
  • It outperforms permuted block randomisation, particularly when minimising imbalance is critical.
  • This method is especially recommended for small multicentre trials with limited patients per centre.