Sensitivity analysis for missing dichotomous outcome data in multi-visit randomized clinical trial with randomization-based covariance adjustment

2017 ◽  
Vol 27 (3) ◽  
pp. 387-398
Author(s):  
Siying Li ◽  
Gary G. Koch ◽  
John S. Preisser ◽  
Diana Lam ◽  
Matilde Sanchez-Kam
2022 ◽  
pp. 174077452110657
Author(s):  
Edward L Korn ◽  
Boris Freidlin

Response-adaptive randomization, which changes the randomization ratio as a randomized clinical trial progresses, is inefficient as compared to a fixed 1:1 randomization ratio in terms of increased required sample size. It is also known that response-adaptive randomization leads to biased treatment effects if there are time trends in the accruing outcome data, for example, due to changes in the patient population being accrued, evaluation methods, or concomitant treatments. Response-adaptive-randomization analysis methods that account for potential time trends, such as time-block stratification or re-randomization, can eliminate this bias. However, as shown in this Commentary, these analysis methods cause a large additional inefficiency of response-adaptive randomization, regardless of whether a time trend actually exists.


2002 ◽  
Vol 89 (2) ◽  
pp. 154-157 ◽  
Author(s):  
F. F Palazzo ◽  
D. L Francis ◽  
M. A Clifton

2001 ◽  
Vol 120 (5) ◽  
pp. A453-A453 ◽  
Author(s):  
B SHEN ◽  
J ACHKAR ◽  
B LASHNER ◽  
A ORMSBY ◽  
F REMZI ◽  
...  

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