WWARN offers a wide range of tools and resources to help you analyse your antimalarial resistance data.
Once you’ve collected your data from your clinical trial, the next step is to analyse your results. WWARN offers a wide range of tools and resources to help you analyse your antimalarial resistance data.
WWARN's Data Management & Statistical Analysis Plan (DMSAP)
Every malaria clinical study should include a Statistical Analysis Plan (SAP) that incorporates descriptions of:
- Primary and secondary objectives, along with any possible changes
- Subject demographics and baseline characteristics
- Sample size, randomisation and blinding (if applicable)
- Method for analysis of efficacy endpoints
- Interim statistical analysis, methods for handling missing data.
WWARN offers a freely available DMSAP that includes:
- Specific plans for each data type –clinical, pharmacology, in vitro and molecular
- Clear and transparent methodology by which contributed raw data are cleaned and transformed to standard formats prior to analysis and storage in the security-protected Data Repository.
Collaborators receive a full report detailing this process and the results. On each Scientific Group page you can download the DMSAP and sample study reports.
Tools to help your analysis:
- Parasite Clearance Estimator (PCE): access an accurate and consistent method of clearance estimation, the rate at which the malaria parasite is cleared from the patient’s body
- IVART: generate reproducible IC50 estimates, a measure of drug efficacy
- Obare Method Calculator - a tool to support researchers using microscopy in malaria research by calculating the mean parasite density and assessing whether two blood samples are concordant
- Introduction to PK Analysis & Population Pharmacometrics: discover presentations that will help you understand the essentials.
Contact us with your questions: info [at] wwarn [dot] org