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Most methods widely implemented for such analyses are vulnerable to several key demographic factors and deliver a poor statistical power for detecting genuine associations and also a high false positive rate.
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His textbook "Mathematical Foundations for Social Analysis" (Bobbs-Merrill, 1965) described the mathematical underpinnings for such analyses.
The second method is more suitable for such analyses.
Binary logistic regression was implemented for multivariable analyses.
A sequential threshold-linear censored model was implemented for the analyses of SURV.
Logistic regression was implemented for analyses of binary outcomes and linear regression for continuous outcomes.
Taguchi's method was implemented for experimental design and data analyses.
More complex models were implemented for the maximum-likelihood and Bayesian analyses.
Several types of analyses have been implemented for SFP detection from microarray data.
The analyses so far were implemented for the total sample.
After 6 sessions, interim feedback was analysed and changes were implemented for the remaining pilot sessions.
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