Research data closer to expectation than compatible with random sampling.

The first step in planning and conducting any research is identifying the research question, that is a testable statement of the question which the research aims to answer. In this article three distinct types of research question are identified: Descriptive questions (for example Who? What? Where? When?); Questions of relationships (How are two or more things related?); Questions of comparison (often these questions will ask about cause and effect). Examples are given of each type of research question. The process of devising a research question is described, in particular searching for relevant information, and evaluating the quality of the information obtained. A list of useful resources is provided.

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PubMed2004

Optimal design of experiments with anticipated pattern of missing observations.

We propose a general method of designing an experiment when there are potentially failing trials. We use polynomial models and the Michaelis-Menten model as examples and construct different types of optimal designs under a broad class of response probability functions. We show that the usual optimal designs, that assume all observations are available at the end of the experiment, can be quite inefficient if the anticipated missingness pattern is not accounted for at the design stage. We also investigate robustness properties of the proposed designs to specification of their nominal values and the response probability functions.

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PubMed2004

Pharmacist input increases with new JCAHO surveys.

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