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The variable effects of interventions across different agriculture-forest landscapes point to the need to better understand the forms and functions of interventions and to problems associated with assessing their relative efficacy.
With fractional polynomials the hazard functions of interventions compared in a randomized controlled trial are modeled, and the difference between the parameters of these fractional polynomials within a trial are synthesized (and indirectly compared) across studies.
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However, effects on immune functioning of interventions identical or similar to CBSM have been investigated more extensively with HIV/AIDS patients, and the results are discouraging.
Besides intervention design factors, broad contextual factors and health system factors also influence CHW performance and are often either unchangeable by an intervention or preconditions for the functioning of interventions (results will be published elsewhere).
A logistic mixed effect regression model was fit to evaluate suppression of VL to undetectable as a function of intervention group while controlling for observation period.
The Chi Square statistic was used to determine differences in the proportion of positive outcomes as a function of intervention type.
The information indicated how the desired function of intervention components (structured reviews, practitioner training and patient information) could be fulfilled whilst tailoring their form of delivery to the needs of different practices, practitioners and patients.
ANCOVAS of T2 scores as a function of intervention condition and age-group with T0 scores as covariates (Table 4) confirmed the influence of the interaction variable to depressive symptoms and behavioural problems at T2.
In the analysis we will use stratified logistic regression methods to model the log odds of abstinence (i.e., 6-month prolonged abstinence) or treatment utilization as an additive function of intervention and the healthcare program/age group strata.
Outcome variables were modelled as a function of intervention status (intervention group and comparison group), time point (baseline and endline), and the interaction of these two variables – controlling for provider cadre (clinical vs. non-clinical) and adjusting for clustering of data within each facility [ 23].
Thus, the functions of or interventions against any of the other HIV proteins or the LTR can be assessed in EcoHIV-infected mice, as exemplified in Fig. 3.
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