For designs with two and three stages at overall significance levels of.05 and.0001 and a power of.8, we calculated necessary sample sizes, time points, and critical boundaries for interim and final analyses.
Sample sizes, time course of experiments, and Bd loads are reported in supplementary information and supplementary table S1, Supplementary Material online.
Microarray data on host responses to infection by mastitis-causing pathogens for various challenge systems were selected to represent contrasting pathogens, hosts, challenge systems (i.e. host tissues or cells, in vivo and in vitro), sample sizes, time period of observations, microarrays, and signs of infection (summarized in Table 1 with the corresponding references).
Rather than starting a new simulation, we resorted on the vast amount of data already at hand: The original simulation covered 7 sample sizes times 3 item counts times 3 algorithms, which totals in 7×3×3=63 vectors, each containing m=200,000 realizations of the test statistic (5).
The cost model, proposed by McWilliams, is used to determine the optimal design parameters the sample size, time between successive samples, and number of standard deviations away from the center line.
Adaptive trials make use of emerging information to modify aspects of a trial or terminate it prematurely, potentially resulting in savings in terms of sample size, time, and cost.
Incidence of chronic graft-versus-host disease was influenced by sample size, time posttransplantation, and stem cell source.
For each study meeting the inclusion criteria, descriptive information related to the country of origin, subject characteristics, sample size, time from injury/surgery to testing, the research protocol, and associated injuries were summarized using a customized Excel (Microsoft, Redmond Washington, USA) spreadsheet.
All regression analyses were two-tailed and controlled for sample size, time at risk and study design (prospective v. non-prospective).
From each article we extracted details of authors, year of publication, geographical location of the study, study population, sex, sample size, time constraints for investigation after extubation, dropouts or withdrawals, interventions, outcomes, adverse events, and intention to treat analysis.
The principal finding of this study is that, after adjusting for sample size, time at risk and study design, overall rates of violence in groups deemed high risk varied substantially both within and between instruments.
