- Resource Centre
- Library for health research reporting
- Reporting Guidelines
- Experimental studies
- Observational studies
- Diagnostic accuracy studies
- Biospecimen reporting
- Reliability and agreement studies
- Systematic reviews and meta-analysis
- Qualitative research
- Mixed methods studies
- Economic evaluations
- Quality improvement studies
- Other reporting guidelines
- Reporting data
- Statistical methods and analyses
- Sections of research reports
- Specific conditions or procedures
- Reporting guidelines under development
- Reporting guidelines in other research fields
- Guidance on scientific writing
- Guidance developed by editorial groups
- Research funders' guidance on reporting requirements
- Industry sponsored research - additional guidance
- Research ethics, publication ethics and good practice guidelines
- Development and maintenance of reporting guidelines
- Editorials introducing RGs
- Examples of guidelines for peer reviewers
- Case studies: RG implementation
- Examples of good research reporting
- EQUATOR 'pick'
- Reporting Guidelines
- Authors of research reports
- Editors and peer reviewers
- Reporting guidelines developers
- Promote responsible reporting
- Monitoring use of our resources
Guidelines for reporting statistical methods and analyses
|Reporting guidance provided for:||Name of guideline website (where available)||References including PMID|
| Statistical analyses and methods
T. A. Lang and D.G. Altman. Basic Statistical Reporting for Articles Published in Biomedical Journals: The “Statistical Analyses and Methods in the Published Literature” or The SAMPL Guidelines” in: Smart P, Maisonneuve H, Polderman A (eds). Science Editors' Handbook, European Association of Science Editors, 2013.
The full text can be downloaded freely from: SAMPL Guidelines
These guidelines will also appear in “Guidelines for reporting health research: A user’s manual," which will be released in early September 2013.
|Bayesian analyses of health care evaluations||BayesWatch||Spiegelhalter DJ, Myles JP, Jones DR, Abrams KR. Bayesian methods in health technology assessment: a review. Health Technol Assess 2000; 4(38):1-130.|
|Bayesian analysis in clinical studies||ROBUST||Sung L, Hayden J, Greenberg ML, Koren G, Feldman BM, Tomlinson GA. Seven items were identified for inclusion when reporting a Bayesian analysis of a clinical study. J Clin Epidemiol 2005; 58(3):261-268.
Subgroup analysis in trials
|Wang R, Lagakos SW, Ware JH, Hunter DJ, Drazen JM. Statistics in medicine--reporting of subgroup analyses in clinical trials. N Engl J Med 2007 Nov 22;357(21):2189-94.
| Heterogeneity in treatment effects in clinical trials
|| Kent DM, Rothwell PM, Ioannidis JP, Altman DG, Hayward RA. Assessing and reporting heterogeneity in treatment effects in clinical trials: a proposal. Trials 2010;11:85.
|Missing data in epidemiological and clinical research
||Sterne JA, White IR, Carlin JB, Spratt M, Royston P, Kenward MG, et al. Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls.
||Jackson DL. Reporting results of latent growth modeling and multilevel modeling analyses: some recommendations for rehabilitation psychology. Rehabil Psychol. 2010;55(3):272-85. PMID: 20804271
| Multivariable logistic regression in transplantation
|| Kalil AC, Mattei J, Florescu DF, Sun J, Kalil RS. Recommendations for the assessment and reporting of multivariable logistic regression in transplantation literature. Am J Transplant. 2010; 10(7):1686-94. PMID: 20642690
| Statistical results in case-controls design in neuropsychology
|| Crawford JR, Garthwaite PH, Porter S. Point and interval estimates of effect sizes for the case-controls design in neuropsychology: rationale, methods, implementations, and proposed reporting standards. Cogn Neuropsychol. 2010; 27(3):245-60. PMID: 20936548
Page last edited: 11 March 2013