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Related Concept Videos

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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Regression Toward the Mean01:52

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Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
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Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

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Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
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Testing a Claim about Population Proportion01:24

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A complete procedure for testing a claim about a population proportion is provided here.
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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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Study Design in Statistics01:15

Study Design in Statistics

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A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
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Reproducing Statistics Performed in Published Randomized Controlled Trials.

Naila H Dhanani1,2, Oscar A Olavarria3,4, Cynthia S Bell4,5

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Reproducibility of randomized controlled trials (RCTs) is crucial for clinical decisions. A small percentage of RCTs show statistical discordance, meaning results could not be reproduced, which is a concern for evidence-based practice.

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Area of Science:

  • Medical research methodology
  • Biostatistics
  • Evidence-based medicine

Background:

  • Randomized controlled trials (RCTs) are the gold standard for clinical evidence.
  • Statistical reproducibility is essential for reliable patient care guidance.
  • Discordant statistical reporting in RCTs should be rare.

Purpose of the Study:

  • To assess the statistical reproducibility of published randomized controlled trials.
  • To quantify the rate of discordant p-values in RCTs.

Main Methods:

  • Systematic search of PubMed for randomized controlled trials.
  • Inclusion of studies based on reproducible primary outcomes.
  • Comparison of published p-values with reproduced p-values.

Main Results:

  • 572 RCTs across six specialties were analyzed.
  • Eleven (2%) RCTs exhibited statistically discordant results crossing the p=0.05 significance threshold.
  • All discordant studies were initially reported as positive (p<0.05) but were not reproducible.

Conclusions:

  • A low percentage of RCTs (2%) demonstrate statistically discordant results.
  • The occurrence of non-reproducible findings in RCTs, though uncommon, is a significant concern.
  • Further research is needed to understand and prevent statistical discordance in RCTs.