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Estimation with β ̂ A 2 using the automated data.
Estimation with β ̂ I 1 using the automated data.
In particular, we show that β ̂ I 1 and β ̂ A 2 and their variance estimators can be formulated using the automated data at categorical levels.
Hence the covariance matrix of β ̂ I 1 can be estimated by Î − 1 + Î − 1 Σ ̂ A 1 Î − 1 using the automated data.
Since Var{S β (Y|X)|Z≃ l,m),T,A=a}=a p lm (1−p lm )G lm, ΣA 2 can be consistently estimated by Σ ̂ A 2 = ∑ a, l, m ρ ̂ ( a, l, m ) 1 − ρ ̂ v ( a, l, m ) ρ ̂ v ( a, l, m ) a p ̂ lm ( 1 − p ̂ lm ) G lm. Hence the covariance matrix of β ̂ A 2 can be estimated by Î − 1 + Î − 1 Σ ̂ A 2 Î − 1 using the automated data.
Using the automated data, cytoplasmic Msx2 expression was associated with overall survival (P = 0.008), whereas nuclear Msx2 expression was not (P = 0.097), in agreement with manual scoring data (Additional file 2).
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For those sites not routinely using data extraction tools, the automated data extraction tool will be temporarily installed for data collection purposes only and then uninstalled that same day.
Because the side views, which are essential for three-dimensional (3D) reconstruction, accounted for only 5%10%% of the total, we used the Leginon automated data collection system (Suloway et al., 2005) to obtain 6,000 CCD frames, yielding ∼60,000 side views suitable for analysis.
All information collected is entered directly into a computer using an automated data scan system developed specifically for the project.
Under the Health Insurance Portability and Accountability Act (HIPAA) of 1996, this research, using encrypted automated data, did not require approval by a Privacy Board or Institutional Review Board.
We hope to overcome such challenges in the future using automated data retrieval through electronic queries of existing systems (i.e. MARS and the Pathology Information system).
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