All Outputs (2)

Towards Accurate Predictions of Customer Purchasing Patterns (2017)
Conference Proceeding
Valero-Fernandez, R., Collins, D. J., Lam, K., Rigby, C., & Bailey, J. (2017). Towards Accurate Predictions of Customer Purchasing Patterns. . https://doi.org/10.1109/CIT41763.2017

range of algorithms was used to classify online retail customers of a UK company using historical transaction data. The predictive capabilities of the classifiers were assessed using linear regression, Lasso and regression trees. Unlike most related... Read More about Towards Accurate Predictions of Customer Purchasing Patterns.

The use of regular text messaging over one year to collect primary outcome data in a randomised controlled trial (2017)
Conference Proceeding
Ogollah, R., Lewis, M., Konstantinou, K., Lawton, S., Garner, J., & Foster, N. (2017). The use of regular text messaging over one year to collect primary outcome data in a randomised controlled trial. . https://doi.org/10.1186/s13063-017-1902-y

Background Frequent data collection is desirable in randomised controlled trials (RCTs) where time‐to‐event is the primary outcome, in order to accurately capture the event of interest with reduced risk of recall bias. However, an inevitable problem... Read More about The use of regular text messaging over one year to collect primary outcome data in a randomised controlled trial.