Four chart reviewers underwent training with pilot data to resolve discrepancies and to improve accuracy and agreement in abstraction.
Using 25 field administrators in 2014, the survey lasted for about 3 months (March May) which included training, pilot survey and data entry.
This data set was used as a test set to estimate the performance when predicting the difference between stage I and advanced stage disease, and between platin-sensitive and platin-resistant disease using models trained on the pilot data set.
Subsequently, an LS-SVM with linear kernel was trained using the reduced pilot data and applied to predict the class of the samples in the independent data set.
They participated in a short training session and did a supervised pilot data collection to ensure lower interviewer variability.
VM and AM assisted with interviewer training, pilot testing of the survey instrument, and data interpretation.
We have shown with pilot data that with appropriate training, our data abstractors achieve a high degree of inter-rater agreement (97%).
All researchers were involved in the development of the study, were trained in the study instruments and conducted pilot data collection prior to working with the selected sample.
Six data collectors were trained according to the WHO/HAI methodology and pilot data collection was conducted.
These pilot data indicate that high velocity power training may influence multiple levels of quality of life over and above the benefits gained through traditional strength training.
