Reporting on methods of subgroup analysis in clinical trials: A survey of four scientific journals

Brazilian Journal of Medical and Biological Research

Volumn 34, Issue 11, 2001, Pages 1441-1446

  Moreira, E D ^a,b,e   Stein, Z ^c   Susser, E ^d  

^a INSTITUTO OSWALDO CRUZ   (Brazil)

^b Associacao Obras Sociais Irma Dulce   (Brazil)

^c NewYork Presbyterian Hospital   (United States)

^d NONE   (United States)

^e NONE   (Brazil)

Author keywords

Effect modification; Epidemiological methods; Randomized clinical trials; Research design; Subgroup analyses

Indexed keywords

ARTICLE; CLINICAL TRIAL; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; DATA ANALYSIS; EXPERIMENTAL DESIGN; METHODOLOGY; PUBLICATION; RANDOMIZED CONTROLLED TRIAL; REVIEW; SCIENTIFIC LITERATURE; TECHNIQUE;

EID: 0035670040     PISSN: 0100879X     EISSN: 1414431X     Source Type: Journal    
DOI: 10.1590/s0100-879x2001001100011     Document Type: Article

References (20)

1. Statistical power, sample size, and their reporting in randomized controlled trials
2. Reporting randomized controlled trials: An experiment and a call for responses from readers
3. Assessing the quality of randomization from reports of controlled trials published in obstetrics and gynecology journals
4. Problems of omission in communications
5. Current standards in reported drug trials
6. Reporting on methods in clinical trials
7. Statistical problems in the reporting of clinical trials
8. A consumer's guide to subgroup analyses
9. The use and abuse of subgroup analysis in epidemiological research
10. Analysis of clinical trial outcomes: Some comments on subgroup analyses
11. Subgroup analysis
12. Assessing apparent treatment covariate interactions in randomized clinical trials
13. Interaction between prognostic factors and treatment
14. Improving the quality of reporting of randomized controlled trials: The CONSORT statement
15. A proposal for structured reporting of randomized controlled trials
16. Call for comments on a proposal to improve reporting of clinical trials in the biomedical literature: A position paper
17. Patient subsets and variation in therapeutic efficacy
18. Importance of prognostic factors in the analysis of data from clinical trials
19. Design and analysis of randomized clinical trials requiring prolonged observation on each patient. I. Introduction and design
20. A quality assessment of randomized control trials of primary treatment of breast cancer