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This motivated the examination of regression-based adjustment methods conditional on their associated test for PB.
Applying the methods conditional on an initial test for the presence of funnel plot asymmetry generally provided poorer performance than the unconditional use of the adjustment method.
We suspect, in practice, researchers carry out a test for small-study effects and consider the use of adjustment methods conditional on the outcome of such a test.
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Next, we express a known, statistically corrected IO table as ({varvec{a}}_1:({varvec{eta }}^A_1, {varvec{theta }}^B_1)), and consider operation R, which calculates a table that transformed its scale from (a_1) to (a_2) by the RAS method conditional on the marginal sum of another IO table ({varvec{a}}_2:({varvec{eta }}^A_2, {varvec{theta }}^B_2)).
To quantify the estimated effect of the dummy "Year 2003" we also calculated the predicted probabilities for the five categories (and the standard errors of these probabilities using the Delta method) conditional on the observed characteristics of specification 1, using a "representative" individual who is male, left-wing, and has got A-level or O-level qualification.
For the analysis of HDL cholesterol (HDL-C) and total cholesterol (TC) of the FHS data, the MLT method conditional on confirmed SNPs from GWAS catalog and NCBI had considerably more significant results than SLT.
However, in practice, the use of ratio methods is conditional on prior knowledge of both (i) significant changes in TSPO expression in target regions such that interregional correlations are reduced and (ii) significant equivalence [11, 12] of TSPO expression in the reference region between groups.
Potentially more efficient methods model linkage conditional on parental or children's genotypes [ Sun et al., 2002; Dupuis and van Eerdewegh, 2003] or by using parental or children's genotypes as a covariate in the linkage model [ Houwing-Duistermaat et al., 2005].
In contrast to methods that evaluate linkage conditional on association, Li et al. [2005] jointly modelled linkage and association in a region.
The original version of Subset Simulation, SubSim/MCMC, employs a Markov chain Monte Carlo (MCMC) method to simulate samples conditional on intermediate failure events; it is a general method that is applicable to all the benchmark problems.
Our proposed method makes use of conditional regression models (testing the effect of one predictor conditional on the inclusion of another in the regression model).
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