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Table 4 The characteristics of each variable used to randomise split by randomisation method (stratification or minimisation)

From: A systematic review of randomisation method use in RCTs and association of trial design characteristics with method selection

Variable Characteristics

Stratified (n = 436)

Minimised (n = 206)

Variable typea

Binary

157 (36)

80 (39)

Categorical (Ordinal)

20 (5)

22 (11)

Categorical (Non-Ordinal)

175 (40)

49 (24)

Continuous

84 (19)

55 (27)

Variables form in randomisation if continuous

Binary

61 (73)

38 (69)

Categorical

20 (24)

11 (20)

Unknown

3 (4)

6 (11)

Number of categories b

2

233 (53)

128 (62)

3

54 (12)

24 (12)

4

19 (5)

11 (5)

5 + 

115 (26)

33 (16)

Unknown

15 (4)

10 (5)

Median (IQR)

2 (2,6)

2 (2,3)

Mean (SD)

13 (48)

10 (29)

  1. Unless otherwise specified, the table reports the number of studies along with column percentages
  2. a Variable type refers to the form of the variable separate of how it was included in the randomisation. In the minimisation group, 4 variables were classed as “other” so not included
  3. b Some categorical variables were split as binary to include in the randomisation. This includes 15 covariates that were stratified on and 10 covariates that were minimised