Page 2 - Missing Data News Today

Having scheduled check-ins for an ongoing trial arguably helps patients feel more informed and in charge of their health.

Diabetic patients can receive multiple/different treatments. However, there is no universal solution for all patients, i.e., one prescription can treat some patients, but it may not be effective for others. Therefore, if we can stratify those patients into several sub-classes, the patients in each sub-class can receive the optimal treatment. There are two main challenges: (1) counterfactual inference when a patient can only take one treatment at a time, i.e., a long time is required to collect a...

In practice, missing data are very common in real data processing. The reasons may comprise data entry errors, information hiding, or fraud. In this article, we will discuss in which cases incorrect handling of missing data by simple methods will lead to errors in models and decision-making.

Small changes to the way COVID-19 vaccine side-effect rates are framed and communicated have meaningful impacts on individuals' vaccination intentions.

With farmers in the national spotlight amid soaring production costs, crop risk mitigation practices like crop insurance and futures options are more important than ever for the nation’s producers of

The massive system already has major loopholes advocated by gun manufacturers to maintain easier access to firearms. The Senate’s proposed gun reform measures could fall victim to those same limitations.

High Court orders investigation into ‘missing’ birth, death registration data

In the big data era, huge amounts of data are being collected as a result of the day-to-day operation of organisations. While this increased availability of data brings potential value to organisations and society it also brings challenges. The usefulness or quality of this data and accounting for that quality in data driven decision making is a concern. Relevant problems associated with the quality of data include missing data, incorrect data, and the inclusion of outliers. The specific nature ...

High risk of bias associated with missing outcome data (MOD) in meta-analyses (MAs) of the effects of lifestyle interventions during pregnancy on postpartum weight retention (PPWR) casts doubt on whether such interventions can be relied upon as truly effective. This systematic overview of three MAs (19 RCTs), each with high MOD rates in the subset of RCTs included, examined how MOD were addressed in the estimation of summary intervention effects. All MAs reported beneficial and statistically sig...

1. Lost in the Post It became apparent on the 20th November that two compact discs containing the personal and financial details of some twenty-five mil...