The study objectives were to validate and apply an HPLC-MS/MS method to quantify TMP-SMX in dried plasma spots (DPS) and dried urine spots (DUS), and perform a comparability analysis with liquid matrices.
An initial comparability analysis ensured homogeneity between the populations of the intervention and control groups.
13, 14 The item bank consists of 29 multiple-choice questions or items that can be applied to multiple study designs and covers eleven domains: sample definition and selection, interventions/exposure, outcomes, creation of treatment groups, blinding, soundness of information, follow-up, analysis comparability, analysis outcome, interpretation, and presentation and reporting.
The treatment group comparability analysis, primary efficacy analysis, secondary efficacy analyses, and biomarker assessments were by treatment group based on the modified intent-to-treat population, consisting of randomized subjects who received at least one dose of study drug and had the postbaseline primary efficacy measurement.
In case of non-comparability, analysis of covariance (ANCOVA) was performed, introducing into the model the variable or variables that were non-comparable at baseline.
To ensure comparability over time, the comparative analysis was restricted to four provinces covered by all three surveys (Banteay Meanchey, Battambang, Sihanouk Ville, and Phnom Penh) and Kampong Cham province, which was covered by the 2001 and 2005 surveys.
For closer comparability, the analysis was run in the symmetrical space and for the left and right hemispheres separately.
In order to establish their comparability, an analysis of variance (ANOVA) was performed using the raw scores of a proficiency test.
At the local level risk models and hazard datasets lack spatial detail required to capture the underlying drivers, and loss data lack good geospatial referencing, which makes comparability and analysis difficult over time and space (Cutter and Gall 2015).
We performed exploratory analyses to examine features that could affect our approach to combining data: comprehensiveness of spatial coverage, comparability of analysis methods, and consistency in sampling protocols.
For instance, the development of modeling tools able to account for the combination of potential risk factors, as well as their health and economic effects, requires the translation of a diverse range of socioeconomic, biological, cultural, and epidemiological information into a common language for data collation, comparability, and analysis.
