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To further ensure the integrity of the clinical trial, the sample size scheme for each scenario, which was supposed to be based on the first stage, was provided in the protocol by Monte Carlo simulation.
We propose a new variant, called Stochastic Nelder Mead simplex method (SNM), that employs an effective sample size scheme and a specially-designed global and local search framework to address these two problems.
While successful in deterministic settings, the application of NM to simulation optimization suffers from two problems: (1) It lacks an effective sample size scheme for controlling noise; consequently the algorithm can be misled to the wrong direction because of noise, and (2) it is a heuristic algorithm; the quality of estimated optimal solution cannot be quantified.
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We specifically consider a Bayesian power criterion for the sample size determination scheme, and we demonstrate the improvement in model power for our dual classifier approach compared to a naïve single classifier approach.
Under very general conditions the type I error rate is preserved under sample size adjustable schemes that permit a raise.
Thus, the sampling scheme, sample size, and selection of diagnostic tests may change with decreasing prevalence.
The required sample size under OAT scheme is given in Table 1.
The approach is novel in that it utilises a relatively small sample size with a stratification scheme designed to examine questions around tenure and land management options.
AR was estimated separately for each spatial and temporal sample, based on the smallest sample size within each division scheme.
Finally, in order to avoid selection bias when the number of eligible patients at a site exceeds the number allowed according to study sample size calculations, an enrollment scheme will be adopted such that the same number of consecutive patients are enrolled each month.
With this sampling scheme, the expected sample size will be around 275,000 women.
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