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Based on the Simonsohn et al. p-curve analysis, the estimate of the true effect size for our database is 0.20, virtually identical to the mean effect size of Bem's (2011) original experiments (0.22) and the mean effect size of the presentiment experiments (0.21) (Mossbridge et al., 2012).
When performing two-source capture-recapture analysis, the estimate of the number of new HIV diagnoses provided by matching the sources DOVIH and EPF (Nest = 188; 95%CI [171 – 206]) was lower than the estimate provided by matching LaboVIH and EPF (Nest = 261; 95%CI [224 297]) or LaboVIH and DOVIH (Nest = 330; 95%CI [272 389]), suggesting a positive dependence between the sources DOVIH and EPF.
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Following a Monte Carlo simulation and a three-part sensitivity analysis, the estimates of the number of prevented deaths ranged from eight to 51 from March 1, 2004 to July 1, 2008.
In each such analysis, the estimates of slope and intercept were positive and highly statistically significant with p≤10-19.
These questions are broad in nature, and, because we used the "area under the curve" method of analysis, the estimates of QALY gain incorporated the information gathered at interim and end time points.
In this meta-analysis, the estimate of the genetic association of each individual study and a pooled estimate of this association were obtained.
Another limitation of the analysis is the estimate of probability of changing health states.
Custom-designed software was used for analysis of the estimate of perfusion (Matlab, 7.10, R2010A, MathWorks Inc. Massachusetts, USA) with special thanks to R. Meijer.
To obtain one overall heritability estimate for this study to be included in the meta-analysis the estimates of the specific subscales were averaged.
The comparative analysis of the estimates of the proposed algorithm and conventional method are presented in this paper.
This analysis complements the estimates of genetic variability and differentiation presented in Hoeck et al [ 28].
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