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By systematically relaxing our underlying modelling assumptions we identify their relative contribution to the remaining error and then remedy it.
Where we have made modelling assumptions, we took an optimistic view of the future trends in SBA attendance.
Using a minimum of modelling assumptions, we find that proportional investment in gametocytogenesis increases sharply with host anaemia and also increases at low parasite densities.
Using a minimum of modelling assumptions, we test whether and how proportional investment in gametocytes depends on the densities of parasites and mature or immature RBC.
When we have, necessarily, made simplifying modelling assumptions, we have tended to be optimistic about future trends in SBA attendance, so that our projections represent optimistically low estimates for the number of women giving birth without a skilled birth attendant.
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To ensure that our estimates were not sensitive to modeling assumptions, we also estimated excess deaths by using an alternative approach to calculate background deaths.
To further explore how sensitive results are to model assumptions, we alternatively ran the stage 1 analysis with the post-colonization migration prior allowed to be [0.0, 1.0] instead of zero under the colonization model (H 2 ), as well as allowing post-isolation migration (M2) to be zero under the soft vicariance model (H 1 ).
After checking model assumptions, we calculated corrected AIC values (cAIC) to select the best fitting model (lowest cAIC).
Furthermore, by considering multiple variations in model assumptions, we have demonstrated that a clearer result of trustworthy model predictions can be found.
To confirm the proportional hazards model assumptions, we tested for martingale residuals for study exposure and the two baseline adjusted variables (azathioprine use and corticosteroid use).
After testing model assumptions, we first used linear regression to examine the association of prepregancy BMI and gestational weeks at delivery as a continuous variable.
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CEO of Professional Science Editing for Scientists @ prosciediting.com