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Table 3 Methods used in adjusted analysis

From: Reporting on covariate adjustment in randomised controlled trials before and after revision of the 2001 CONSORT statement: a literature review

Year of Publication 2000
(n = 84)
2006
(n = 113)
Continuous data 65 (77.4%) 81 (71.7%)
   ANOVA/ANCOVA 50 (76.9%) 56 (69.1%)
   Multiple regression method* 7 (10.8%) 19 (23.5%)
   Stratified analysis 1 (1.5%) 0
   Other 6 (9.2%) 6 (7.4%)
   Not mentioned 1 (1.5%) 0
Binary data 13 (15.5%) 19 (16.8%)
   Logistic regression 6 (46.1%) 11 (57.9%)
   Stratified analysis (Cochrane-Mantel-Haenszel test) 5 (38.5%) 5 (26.3%)
   Other 2 (15.4%) 3 (15.8%)
Ordinal data 1 (1.2%) 3 (2.6%)
   Stratified analysis (Cochrane-Mantel-Haenszel test) 1 (100%) 1 (33.3%)
   Nonlinear mixed effect model 0 1 (33.3%)
   Ordinal logistic regression 0 1 (33.3%)
Time to event data 5 (5.9%) 10 (8.9%)
   Cox proportional hazard 5 (100%) 9 (90.0%)
   Stratified log rank test 0 1 (10.0%)
  1. * Including random effect and mixed effect models
  2. Including GEE, GLM, ANCOVA for rank data, Zellner seemingly unrelated regression, Poisson model, Van Elteren test
  3. Including non-parametric Generalized mixed effect model, GEE, non-parametric ANCOVA