ReviewClinical and translational radiation oncology2021
Statistical fundamentals on cancer research for clinicians: Working with your statisticians.
Review in Clinical and translational radiation oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- A Comparison of Detection Rates Between Ultrasound and Post-Therapeutic I-131 SPECT/CT for Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2026Article
- Multivariate mendelian randomization for joint inferences of correlated outcomes.European journal of epidemiology · 2026Article
- Radiomics and machine learning for predicting metachronous liver metastasis in rectal cancer.World journal of gastrointestinal oncology · 2025Article
- Internal validation strategy for high dimensional prognosis model: A simulation study and application to transcriptomic in head and neck tumors.Computational and structural biotechnology journal · 2025Article
- Increasing Power in Phase III Oncology Trials With Multivariable Regression: An Empirical Assessment of 535 Primary End Point Analyses.JCO clinical cancer informatics · 2024Article
- Article
- The Clinicopathological Characteristics of Young-Onset Versus Adult-Onset Colorectal Cancer: A Tertiary Hospital-Based Study.The Malaysian journal of medical sciences : MJMS · 2024Article
- Impact of the COVID-19 pandemic on lung cancer diagnosis in northern Poland-addressing the COVID-19 debt.PloS one · 2024Article
- Cytotoxic Effects of Common Irrigation Solutions on Chondrosarcoma and Giant Cell Tumors of Bone.The Journal of bone and joint surgery. American volume · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo facilitate understanding statistical principles and methods for clinicians involved in cancer research.
methodsAn overview of study design is provided on cancer research for both observational and clinical trials addressing study objectives and endpoints, superiority tests, non-inferiority and equivalence design, and sample size calculation. The principles of statistical models and tests including contemporary standard methods of analysis and evaluation are discussed. Finally, some statistical pitfalls frequently evident in clinical and translational studies in cancer are discussed.
resultsWe emphasize the practical aspects of study design (superiority vs non-inferiority vs equivalence study) and assumptions underpinning power calculations and sample size estimation. The differences between relative risk, odds ratio, and hazard ratio, understanding outcome endpoints, purposes of interim analysis, and statistical modeling to minimize confounding effects and bias are also discussed.
conclusionProper design and correctly constructed statistical models are critical for the success of cancer research studies. Most statistical inaccuracies can be minimized by following essential statistical principles and guidelines to improve quality in research studies.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.