Statistical Gems and Cautions From the Statistical Advisory Board of Clinical Oral Implants Research

Cláudio Mendes Pannuti*, Hélio Doyle Pereira da Silva, Naichuan Su, Kar Yan Li, Lisa J.A. Heitz-Mayfield

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Objective: Statistics is fundamental in implant dentistry research, playing a crucial role in study design, data analysis, and interpretation of findings. This editorial, authored by members of the Statistical Advisory Board of Clinical Oral Implants Research, aims to highlight common statistical pitfalls encountered in submitted manuscripts and provide practical recommendations to enhance the quality of statistical reporting. Materials and Methods: In this editorial, study design considerations, sample size calculation, appropriate selection of statistical tests, multiplicity issues, handling hierarchical data structures, and best practices for data presentation are discussed. The importance of pre-registering research protocols, adhering to pre-specified analyses, and reporting effect sizes alongside p-values is emphasised. Additionally, common misinterpretations of statistical significance and the risks of extrapolating findings beyond their intended scope are addressed. Results: Statistical errors remain prevalent in the scientific literature, affecting the validity of results and evidence-based decision making. Conclusions: By following guidelines, authors can improve the robustness and reproducibility of their research, ultimately contributing to higher-quality evidence in implant dentistry. Guidance for researchers, reviewers, and readers in handling statistical challenges is presented aiming to ensure that studies published in Clinical Oral Implants Research meet the highest methodological standards.

Original languageEnglish
Pages (from-to)1525-1534
Number of pages10
JournalClinical Oral Implants Research
Volume36
Issue number12
Early online date4 Sept 2025
DOIs
Publication statusPublished - Dec 2025

Bibliographical note

Publisher Copyright:
© 2025 The Author(s). Clinical Oral Implants Research published by John Wiley & Sons Ltd.

Keywords

  • bias
  • controlled clinical trial
  • data analysis
  • dental implants
  • sample size
  • statistics

Fingerprint

Dive into the research topics of 'Statistical Gems and Cautions From the Statistical Advisory Board of Clinical Oral Implants Research'. Together they form a unique fingerprint.

Cite this