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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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Blinding01:11

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Blinding is a commonly used method of not telling participants which treatment a subject is receiving. Blinding is a critical part of a randomized control trial or RCT. It reduces the bias that affects the results. In an RCT, blinding is used in the form of a placebo. A placebo effect occurs when untreated subjects falsely believe they have received the treatment and report improved symptoms. A placebo or a dummy treatment is administered to subjects to negate the bias caused by such an effect.
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Body:Bioequivalence experimental study designs play a pivotal role in testing the effectiveness of various treatments. Key among these are the repeated measures, cross-over, carry-over, and Latin square designs. In the repeated measures design, each subject receives all treatments, allowing for temporal comparisons. This type of design is useful in reducing variability but requires careful planning to avoid bias.The cross-over design, an economical method, involves sequential administration of...
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Blind Procedures02:07

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Ideally, the people who observe and record the children’s behavior are unaware of who was assigned to the experimental or control group, in order to control for experimenter bias. Experimenter bias refers to the possibility that a researcher’s expectations might skew the results of the study. Remember, conducting an experiment requires a lot of planning, and the people involved in the research project have a vested interest in supporting their hypotheses. If the observers knew which...
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Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

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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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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.
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Related Experiment Video

Updated: Jan 3, 2026

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
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Data sharing practices in randomized trials of addiction interventions.

Matt Vassar1, Sam Jellison1, Hannah Wendelbo1

  • 1Oklahoma State University Center for Health Sciences, Department of Psychiatry and Behavioral Sciences, Tulsa, OK 74107, USA.

Addictive Behaviors
|November 27, 2019
PubMed
Summary

No addiction clinical trials in top journals shared data publicly, despite most receiving public funding. This hinders scientific progress and public accountability, necessitating improved data sharing incentives and systems.

Keywords:
Data sharingRandomized controlled trialsResearch methodology

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Area of Science:

  • Addiction research
  • Clinical trials
  • Open science

Background:

  • Open science practices, including public data sharing, are crucial for research validity and reproducibility.
  • Data and metadata sharing form the foundation of scientific findings and transparency.

Purpose of the Study:

  • To investigate the rates and methods of public data sharing in addiction clinical trials.
  • To assess data sharing practices across 15 high-impact addiction journals over a 6-year period.

Main Methods:

  • A 6-year cross-sectional study of clinical trials published in 15 high-impact addiction journals.
  • Extraction of trial characteristics, including public data sharing status and funding sources.
  • Sensitivity analysis focused on trials with public funding.

Main Results:

  • Zero out of 394 randomized controlled trials (RCTs) publicly shared their data.
  • A significant majority (79.9%) of trials received public funding.
  • Eight journals (out of 15) had data sharing policies, covering 75.9% of the included trials.

Conclusions:

  • The complete lack of public data sharing in addiction RCTs has serious implications for scientific advancement and public trust.
  • Recommendations include studying incentive systems and fostering a data sharing culture prioritizing scientific accuracy.