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Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

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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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 child was...
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[Submitting studies without significant results].

Gaëtan Texier1, Jean-Baptiste Meynard, Rémy Michel

  • 1Département d'Epidémiologie et de Santé Publique, Institut de Médecine Tropicale du Service de Santé des Armées, Marseille. imtssa.ure@wanadoo.fr

Presse Medicale (Paris, France : 1983)
|February 9, 2007
PubMed
Summary

Selective publication bias favors significant results, hindering the dissemination of nonsignificant findings. Strategies like trial registries and gray literature can mitigate this bias in scientific publishing.

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Area of Science:

  • Biomedical Research
  • Publication Ethics
  • Scientific Communication

Context:

  • Clinical trials reporting significant associations have a higher probability of publication.
  • This phenomenon, known as selective publication, introduces bias into scientific literature.
  • Nonsignificant results are often unavailable, impacting subsequent reviews and meta-analyses.

Purpose:

  • To explore the issue of selective publication in scientific research.
  • To identify reasons behind the underrepresentation of nonsignificant findings.
  • To propose solutions for mitigating publication bias.

Summary:

  • Selective publication, driven by factors like author self-censorship and peer review, favors significant results.
  • Reasons for selective publication include interpretation of p-values, journal policies, and subscription costs.
  • Preventing this bias requires university training, trial registries (e.g., ISRCTN), and utilizing gray literature.

Impact:

  • Biased reviews and meta-analyses result from the unavailability of nonsignificant findings.
  • New technologies are reshaping publisher-library-author-reader interactions.
  • Journals interested in publishing studies with nonsignificant results are identified.