Variability: One Statistician’s View

Randomised Control Trials for the Impact Evaluation of Development Initiatives: A Statistician’s Point of View

A Statistician’s View of Data Analysis *

A brief overview of statistical data analysis is provided with a view towards examining its role in the analysis of astronomy data. Invited paper presented at the International Workshop on Data Analysis in Astronomy, Erice, Italy, April 17-30, 1986. * Work partially supported by the Department of Energy, contract DEA03-76SF00515.

A Statistical Perspective on Data Mining

Technological advances have led to new and automated data collection methods. Datasets once at a premium are often plentiful nowadays and sometimes indeed massive. A new breed of challenges are thus presented – primary among them is the need for methodology to analyze such masses of data with a view to understanding complex phenomena and relationships. Such capability is provided by data mining...

Guidelines for quantitative rt-PCR.

Something I notice often in supervising new graduate students is their frustration with the irreproducibility of their biological data. For example, I am asked frequently ‘‘how many biological replicates do I need for qRT-PCR’’? The answer, of course, lies first with the students themselves. They need as many replicates as will persuade them of the validity of their observations. However, for m...

Coordinating Multi-Team Variability Modeling in Product Line Engineering

In product line engineering variability models capture the commonalities and variability of core assets and guide product derivation. In large-scale systems the knowledge that is required for creating and evolving variability models is typically distributed among different heterogeneous stakeholders. For example, sales people usually think in terms of features and monetary resources while devel...