10 research outputs found
Linear regression models of boost in SWA-IgE at 9 weeks post-treatment.
*<p>p<0.05,</p>**<p>p<0.01.</p
Linear regression model of the boost in levels of plasma IL-5.
*<p>p<0.05,</p>***<p>p<0.001.</p
Linear regression models of the boost in eosinophil number at 9 weeks post-treatment.
*<p>p<0.05,</p>**<p>p<0.01,</p>***<p>p<0.001.</p
Logistic regression models of re-infection status.
*<p>p<0.05,</p>**<p>p<0.01,</p>***<p>p<0.001.</p
Baseline <i>S. haematobium</i> infection intensity and demographic characteristics of initial and post-treatment follow-up cohorts.
<p>Geometric mean and 95% confidence interval are shown for age and <i>S. haematobium</i> infection intensity.</p
Country-specific enrolment characteristics of patients and controls in the NIDIAG study on persistent digestive disorders.
<p>Country-specific enrolment characteristics of patients and controls in the NIDIAG study on persistent digestive disorders.</p
Diagnostic challenges encountered during the NIDIAG study on persistent digestive disorders and proposed solutions.
<p>Diagnostic challenges encountered during the NIDIAG study on persistent digestive disorders and proposed solutions.</p
Principal elements of the NIDIAG digestive study and the respective standard operating procedures (SOPs) used.
<p>Principal elements of the NIDIAG digestive study and the respective standard operating procedures (SOPs) used.</p
Set of standard operating procedures (SOPs) used in the NIDIAG study on persistent digestive disorders.
<p>Set of standard operating procedures (SOPs) used in the NIDIAG study on persistent digestive disorders.</p
Laboratory diagnostic techniques used and internally compared in the NIDIAG study on persistent digestive disorders.
<p>Laboratory diagnostic techniques used and internally compared in the NIDIAG study on persistent digestive disorders.</p