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. Author manuscript; available in PMC: 2011 May 22.
Published in final edited form as: J R Stat Soc Ser C Appl Stat. 2009 May;58(2):225–236. doi: 10.1111/j.1467-9876.2008.00660.x

Table 2.

Comparison of the design proposed with that of Braun et al. (2005) with an incorrectly specified model

Scenario Method Results (%) for the following schedules (and number of weeks in parentheses):
1 (2) 2 (4) 3 (6) 4 (8) 5 (10) 6 (12)
1 A 90 (60) 9 (26) 1 (9) 0 (3) 0 (2) 0 (0)
B 88 (58) 12 (33) 0 (6) 0 (2) 0 (1) 0 (0)
2 A 29 (33) 61 (55) 8 (10) 2 (1) 0 (1) 0 (0)
B 25 (20) 60 (43) 15 (24) 0 (8) 0 (3) 0 (2)
3 A 9 (7) 25 (25) 41 (24) 19 (22) 6 (14) 0 (8)
B 8 (14) 29 (23) 45 (32) 16 (18) 2 (9) 0 (3)
4 A 4 (10) 20 (18) 27 (22) 32 (26) 14 (13) 3 (9)
B 3 (9) 18 (17) 23 (18) 34 (28) 15 (16) 7 (11)
5 A 0 (3) 4 (4) 19 (23) 26 (30) 34 (25) 17 (15)
B 0 (2) 2 (14) 22 (22) 27 (20) 33 (28) 16 (14)
6 A 0 (2) 0 (4) 11 (9) 22 (25) 27 (28) 40 (32)
B 0 (3) 0 (11) 12 (16) 20 (18) 25 (22) 43 (30)
7 A 10 (9) 25 (25) 37 (28) 20 (15) 6 (11) 2 (10)
B 4 (11) 37 (27) 41 (36) 13 (13) 4 (7) 1 (6)
8 A 2 (2) 27 (25) 41 (30) 19 (24) 9 (11) 2 (6)
B 6 (5) 30 (24) 42 (33) 13 (19) 8 (11) 1 (8)

For each scenario, each entry is the percentage of simulations in which each schedule was chosen as the MTS, with the average percentage of patients assigned to each schedule in parentheses. Rows A correspond to the results by using the model proposed; rows B correspond to the results by using Braun et al. (2005). Values in italics correspond to schedules within a 10-point neighbourhood of pω = 0.40.