Author ' s response to reviews Title : Evaluating bias due to data linkage error in electronic healthcare records

Evaluating bias due to data linkage error in electronic healthcare records

BACKGROUND Linkage of electronic healthcare records is becoming increasingly important for research purposes. However, linkage error due to mis-recorded or missing identifiers can lead to biased results. We evaluated the impact of linkage error on estimated infection rates using two different methods for classifying links: highest-weight (HW) classification using probabilistic match weights and...

Author ' s response to reviews Title : Estimating the workload associated with symptoms - based ovarian cancer screening in primary care : an audit of electronic medical records

Author ' s response to reviews Title : Evaluation of data completeness in the electronic health record for

Felix Koepcke ([email protected]) Benjamin Trinczek ([email protected]) Raphael W Majeed ([email protected]) Björn Schreiweis ([email protected]) Joachim Wenk ([email protected]) Thomas Leusch ([email protected]) Thomas Ganslandt ([email protected]) Christian Ohmann (ch...

Author ' s response to reviews Title : Mortality following acute pancreatitis : social deprivation , hospital size and time of admission : record linkage study

Title:Mortality following acute pancreatitis: social deprivation, hospital size and time of admission: record linkage study

Spatial Regression in the Presence of Misaligned data

In this paper, four approaches are presented to the problem of fitting a linear regression model in the presence of spatially misaligned data. These approaches are plug-in method‎, ‎simulation‎, ‎regression calibration and maximum likelihood‎. In the first two approaches‎, ‎with modeling the correlation between the explanatory variable, prediction of explanatory variable is determined at sites...