2 citations · 2 across the 4 of their papers we have counts for
6 papers
TreatmentEstimatoR: a Dashboard for Estimating Treatment Effects from Observational Health Data
Collin Sakal, Hon Hwang, Juan C Quiroz +1
Observational health data can be leveraged to measure the real-world use and potential benefits or risks of existing medical interventions. However, lack of programming proficiency…
Comparing Broadband ISP Performance using Big Data from M-Lab
Xiaohong Deng, Yun Feng, Thanchanok Sutjarittham +3
Comparing ISPs on broadband speed is challenging, since measurements can vary due to subscriber attributes such as operation system and test conditions such as access capacity, ser…
Dynamic prediction of time to event with survival curves
Jie Zhu, Blanca Gallego
With the ever-growing complexity of primary health care system, proactive patient failure management is an effective way to enhancing the availability of health care resource. One…
Targeted Estimation of Heterogeneous Treatment Effect in Observational Survival Analysis
Jie Zhu, Blanca Gallego
The aim of clinical effectiveness research using repositories of electronic health records is to identify what health interventions 'work best' in real-world settings. Since there…
Evaluating the Impact of Using GRASP Framework on Clinicians and Healthcare Professionals Decisions in Selecting Clinical Predictive Tools
Mohamed Khalifa, Farah Magrabi, Blanca Gallego
Background. When selecting predictive tools, clinicians and healthcare professionals are challenged with an overwhelming number of tools, most of which have never been evaluated fo…
Developing an Evidence-Based Framework for Grading and Assessment of Predictive Tools for Clinical Decision Support
Mohamed Khalifa, Farah Magrabi, Blanca Gallego
Background: Clinical predictive tools quantify contributions of relevant patient characteristics to derive likelihood of diseases or predict clinical outcomes. When selecting a pre…