To cite: Shahian DM, Normand S-LT. BMJ Qual Saf 2015;24:95–99. Healthcare performance measurement is a complex undertaking, often presenting a number of potential alternative approaches and methodological nuances. Important considerations include richness and quality of data sources; data completeness; choice of metrics and target population; sample size; patientand provider-level data collecti...

Identification of outliers in multivariate data is not trivial. especially when there exists several outliers in the data. The classical identification method based on the sample mean and sample covariance matrix cannot always find them, because the classicd rnean and covariance matris are themselves affected by outliers. This problem is termed as masting7 because the outliers get maslied by ea...

Pre-test estimator has been studied to estimate the mean of a normal distribution when non-sample prior information is avaliable. Our aim is to consider pre-test estimator of the mean in thepresence of outliers. A well known procedure to define pre-test estimator of the mean is using thesample mean. However, the sample mean is not a robust location parameter. In order to overcom...

Increasing values and spread in leakage current makes it impossible to distinguish between faulty and fault-free chips using single threshold method. Neighboring chips on a wafer have similar fault-free properties. By obtaining differences in IDDQ values it is possible to discriminate faulty dice. In this paper, a technique in which comparison of IDDQ of a die with that of its neighboring dice ...

MOTIVATION Microarray experiments can be used to help study the role of chromosomal translocation in cancer development through cancer outlier detection. The aim is to identify genes that are up- or down-regulated in a subset of cancer samples in comparison to normal samples. RESULTS We propose a likelihood-based approach which targets detecting the change of point in mean expression intensit...

We introduce a novel framework for image-based 3D reconstruction of urban buildings based on symmetry priors. Starting from image-level edges, we generate a sparse and approximate set of consistent 3D lines. These lines are then used to simultaneously detect symmetric line arrangements while refining the estimated 3D model. Operating both on 2D image data and intermediate 3D feature representat...

As a widely used data mining technique, outlier detection is a process which aims to find anomalies with good explanations. Most existing methods are designed for numeric data. However, they will meet problems in real-life applications, which always contain categorical data. In this paper, we introduce a novel outlier mining method based on hypergraph model for categorical data. Since hypergrap...