Results 211 to 220 of about 266,543 (264)
Some of the next articles are maybe not open access.
Statistical inference problems in sequential parallel comparison design
Journal of Biopharmaceutical Statistics, 2019The sequential parallel comparison designhas recently been considered to solve the problem with high placebo response and the required sample size in the psychiatric clinical trials. One feature with this design is that a difference between the placebo group and the drug group may also arise in the variance-covariance structure of the clinical outcome.
Yifan, Cui +2 more
openaire +2 more sources
Comparison of Test Statistics for the Sequential Parallel Design
Statistics in Biopharmaceutical Research, 2010The sequential parallel design has been proposed to improve the efficiency of clinical trials in psychiatry. The design randomizes patients into three treatment groups. Each group has two phases. The three groups are (1) placebo in the first phase followed by placebo in the second phase, (2) placebo in the first phase followed by drug in the second ...
Xiaohong Huang, Roy N. Tamura
openaire +1 more source
Rejoinder to “Statistical inference problems in sequential parallel comparison designs”
Journal of Biopharmaceutical Statistics, 2019In this rejoinder the authors stipulate further for two challenging issues. First, if placebo non-responders are selected simply by their response meeting a threshold, this selection may have misclassification error and consequently the treatment effect estimate may be biased, regardless of whether the estimand at the second stage is the treatment ...
Yifan, Cui +2 more
openaire +2 more sources
A commentary on: statistical inference problems in sequential parallel comparison designs
Journal of Biopharmaceutical Statistics, 2019A Sequential Parallel Comparison Design has two stages, the first comparing drug to placebo and the second comparing drug to placebo among patients who did not respond to placebo in the first stage. The paper, Statistical Inference Problems in Sequential Parallel Comparison Designs, claims that the estimate of the treatment difference in the second ...
David Alan, Schoenfeld +2 more
openaire +2 more sources
Sequential statistical design strategy in an experimental kinetic study
The Canadian Journal of Chemical Engineering, 1972AbstractThe value of using a sequential statistical design strategy is illustrated through its use in an experimental kinetic study of the oxidation of o‐xylene over a vanadium oxide catalyst. The rate of oxidation of o‐xylene was determined in a differential reactor over the following ranges of conditions: 270 to 300°C, (0.5 to 3.5) x 10‐4g.mole o ...
J. A. Juusola, D. W. Bacon, J. Downie
openaire +1 more source
Journal of Biopharmaceutical Statistics, 2023
Sequential, multiple assignment, randomized trial (SMART) designs are appropriate for comparing adaptive treatment interventions, in which intermediate outcomes (called tailoring variables) guide subsequent treatment decisions for individual patients. Within a SMART design, patients may be re-randomized to subsequent treatments following the outcomes ...
Sasha, Kravets +4 more
openaire +2 more sources
Sequential, multiple assignment, randomized trial (SMART) designs are appropriate for comparing adaptive treatment interventions, in which intermediate outcomes (called tailoring variables) guide subsequent treatment decisions for individual patients. Within a SMART design, patients may be re-randomized to subsequent treatments following the outcomes ...
Sasha, Kravets +4 more
openaire +2 more sources
Statistical Design of Sequential Decision Making Algorithms
2022Sequential decision-making is a fundamental class of problem that motivates algorithm designs of online machine learning and reinforcement learning. Arguably, the resulting online algorithms have supported modern online service industries for their data-driven real-time automated decision making.
openaire +2 more sources
Sequential statistical design strategy in a kinetic study of propylene oxidation
The Canadian Journal of Chemical Engineering, 1989AbstractA sequential design strategy was used to direct an experimental kinetic study of propylene oxidation over bismuth molybdate. Two statistical criteria were used to design experiments. The first is a joint criterion for the dual problem of model discrimination and parameter estimation which was proposed by Hill et al.
H. S. Tan, D. W. Bacon, J. Downie
openaire +1 more source
Bioresource Technology, 2008
The sequential statistical experimental design (Plackett-Burman, factorial, response surface and steepest ascent experiment) was applied to optimize the culture medium of nitrite oxidizing bacteria for improving the nitrite oxidizing rate. Estimated optimum medium composition of the nitrite oxidizing rate was as follows: NaHCO3, 1.86gl(-1); NaNO2, 2 ...
Jie, Ren +5 more
openaire +2 more sources
The sequential statistical experimental design (Plackett-Burman, factorial, response surface and steepest ascent experiment) was applied to optimize the culture medium of nitrite oxidizing bacteria for improving the nitrite oxidizing rate. Estimated optimum medium composition of the nitrite oxidizing rate was as follows: NaHCO3, 1.86gl(-1); NaNO2, 2 ...
Jie, Ren +5 more
openaire +2 more sources
Optimal Design of Reliability Acceptance Sampling Plan Based on Sequential Order Statistics
Stochastics and Quality Control, 2019Abstract The concept of sequential order statistics were introduced by Kamps in 1995. In this article, we derive an acceptance sampling plan, for units having exponentially distributed lifetime, using sequential order statistics. Based on data obtained from progressive type II censoring using constant stress accelerated life tests, we ...
Kumar, Mahesh, Ramyamol, P. C.
openaire +1 more source