Avoiding Statistical Mistakes

Avoiding the mistakes of the past.

Avoiding Signifi cant Monetary Policy Mistakes

We deduce properties of optimal monetary policies based on modern theory and standard empirical fi ndings. In light of this analysis, we examine FOMC policy procedures and conclude that they put too much emphasis on short-term economic stabilization and too little emphasis on longer-term price stability. We propose a form of infl ation targeting to address this problem. The views expressed here...

Maintaining your focus in focus groups: avoiding common mistakes.

Focus groups are used frequently in nursing research as a method for collecting qualitative data. However, due to inadequate planning or execution, the results can be of poor quality or even worthless. A well-defined purpose, carefully planned environment, and well trained personnel are discussed as the cornerstones to focus group success. This article sets the stage with a description of a wel...

common statistical mistakes: reporting only p-values for results

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Avoiding Bias in Boolean Network Statistical Studies

Stuart Kauffman and others have proposed Random Boolean networks (RBN) as models of genetic regulation in living cells. Common practice in statistical studies of RBN ensembles has been to sample Boolean rules without explicit concern for their effective connectance . We show that this practice may lead to substantial bias in estimating important dynamical features of the sparselyconnected nets ...