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The model was constructed using a forward stepwise method with the likelihood ratio test.
The final multivariate models were constructed using a forward stepwise model selection approach.
To identify independent predictive factors for maternal near miss/ death, a logistical regression model was constructed using a forward stepwise hierarchical selection, including only those variables for which p < 0.25 in the bivariate analysis.
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A forward solution for each source location was constructed using a boundary-element method.
All adjusted models were constructed using the forward variable selection method and a forward selection criterion for model fit of P =0.1 was used.
The reduced model was constructed using stepwise forward model selection based on the log-likelihood ratio test at a p value<0.1, and it excluded variables at p values>0.2.
RIP1 ΔDD was constructed using the forward primer 5′-ACGATGACGATAAAGAATTCAGGATGCAA-3′, and the reverse primer 5′-AGGTGCTCGAGCGTCAGACTAGTGGTATT-3′ to PCR a fragment from nt 1-1751 (NM_003804).
pLat52 Rab11DN was constructed using the forward (5'-CCCCCCAAGCTT GTCGandTACTCGACTCAGAA-3') and reverse (5'-CGC GGATCCATGGTTGATTATAATGAAATAGCCTTTTTATAG-3') primers carrying SalI and BamHI restriction sites (underlined) respectively.
A multivariable model for the outcome variable was constructed using manual stepwise forward logistic regression analysis.
All models were constructed using backward and forward stepwise variable selection.
Multivariable models were constructed using forward stepwise selection methods.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com