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pro vyhledávání: '"Briana Cameron"'
Publikováno v:
Statistics in Medicine. 39:3653-3683
While the traditional clinical trial design lays emphasis on testing the treatment effect between randomly assigned groups, it ignores the role of patient preference for a particular treatment in the trial. Yet, for healthcare providers who seek to o
Publikováno v:
Journal of Statistical Software, Vol 94, Iss 1, Pp 1-16 (2020)
Journal of Statistical Software; Vol 94 (2020); 1-16
Journal of Statistical Software; Vol 94 (2020); 1-16
The consideration of a patient's treatment preference may be essential in determining how a patient will respond to a particular treatment. While traditional clinical trials are unable to capture these effects, the two-stage randomized preference des
Publikováno v:
Pharmaceutical Statistics. 18:239-247
Recent research on finding appropriate composite endpoints for preclinical Alzheimer's disease has focused considerable effort on finding "optimized" weights in the construction of a weighted composite score. In this paper, several proposed methods a
Publikováno v:
Statistics in Medicine. 37:3147-3178
While traditional clinical trials seek to determine treatment efficacy within a specified population, they often ignore the role of a patient's treatment preference on his or her treatment response. The two-stage (doubly) randomized preference trial
Autor:
Denise Esserman, Briana Cameron
Publikováno v:
Statistical methods in medical research. 27(7)
The two-stage (or doubly) randomized preference trial design is an important tool for researchers seeking to disentangle the role of patient treatment preference on treatment response through estimation of selection and preference effects. Up until n