A survey of statistical methods utilized for analysis of randomized controlled trials of behavioral interventions Journal Article


Authors: Tutino, R.; Schofield, E.; Saracino, R. M.; Walsh, L.; Straus, E.; Nelson, C. J.
Article Title: A survey of statistical methods utilized for analysis of randomized controlled trials of behavioral interventions
Abstract: Objectives Given the many statistical analysis options used for randomized controlled trials (RCTs) of behavioral interventions and the lack of clear guidance for analysis selection, the present study aimed to characterize the predominate statistical analyses utilized in RCTs in palliative care and behavioral research and to highlight the relative strengths and weaknesses of each of these methods as guidance for future researchers and reform. Methods All RCTs published between 2015 and 2021 were systematically extracted from 4 behavioral medicine journals and analyzed based on prespecified inclusion criteria. Two independent raters classified each of the manuscripts into 1 of 5 RCT analysis strategies. Results There was wide variation in the methods used. The 2 most prevalent analyses for RCTs were longitudinal modeling and analysis of covariance. Application of method varied significantly by sample size. Significance of results Each statistical analysis presents its own unique strengths and weaknesses. The information resulting from this research may prove helpful for researchers in palliative care and behavioral medicine in navigating the variety of statistical methods available. Future discussion around best practices in RCT analyses is warranted to compare the relative impact of interventions in a more standardized way. © The Author(s), 2023. Published by Cambridge University Press.
Keywords: controlled study; statistics; randomized controlled trial; palliative therapy; randomized controlled trials as topic; questionnaire; analysis of variance; behavioral research; sample size; randomized controlled trial (topic); behavioral medicine; randomized control trial; analysis of covariance; humans; human; article; surveys and questionnaires; anova; behavioral clinical trials; hierarchical level modeling
Journal Title: Palliative and Supportive Care
Volume: 22
Issue: 2
ISSN: 1478-9515
Publisher: Cambridge University Press  
Date Published: 2024-04-01
Start Page: 221
End Page: 225
Language: English
DOI: 10.1017/s1478951523000512
PUBMED: 37278213
PROVIDER: scopus
PMCID: PMC10698204
DOI/URL:
Notes: Article -- MSK Cancer Center Support Grant (P30 CA008748) acknowledged in PubMed and PDF -- MSK corresponding author is Rebecca Tutino -- Source: Scopus
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Christian Nelson
    391 Nelson
  2. Rebecca Mary James
    79 James
  3. Elizabeth A Schofield
    161 Schofield
  4. Emma Patricia Straus
    5 Straus
  5. Rebecca C Tutino
    19 Tutino
  6. Leah Elizabeth Walsh
    21 Walsh