Biomarker Validation: Common Data Analysis Concerns

Biomarker boom slowed by validation concerns.

By many accounts, the brave new worlds of genomics and proteomics— and their accompanying technologies— have ushered in a new era of cancer biomarker research. Researchers in cancer detection, diagnosis, and treatment all have a vested interest in discovering these proteins and small molecules that are telltale signs of early cancer, characteristics that make a type of cancer unique, or markers...

COMMON WEIGHTS DETERMINATION IN DATA ENVELOPMENT ANALYSIS

In models of data envelopment analysis (DEA), an optimal set of weights is generally assumed to represent the assessed decision making unit (DMU) in the best light in comparison to all the other DMUs, and so there is an optimal set of weights corresponding to each DMU. The present paper, proposes a three stage method to determine one common set of weights for decision making units. Then, we use...

A Common Weight Data Envelopment Analysis Approach for Material Selection

Material selection is one of the major problems in manufacturing environments since the improper selected material may lead to fail in the production processes and result in customer dissatisfaction and cost inefficiency. Every material has different properties which should be considered as major criteria during the material selection procedure. Selection criteria could be quantitative or quali...

Measuring congestion in data envelopment analysis with common weights

Portfolio Selection using Data Envelopment Analysis with common weights

The stock evaluation process plays an important role in portfolio selection because it is the prerequisite for investment and directly influences on the stock allocation. This paper presents a methodology based on Data Envelopment Analysis for portfolio selection, decision making units which can be stocks or other financial assets. First, DMUs efficiencies are computed based on input/output com...