Section 4: Experimental Design and Analyzing Serial Measurements

Instructor:

This section introduces the principles of experimental design as applied to biomedical research. A list of requirements for a good experiment are described along with the issues that determine the choice of an experimental design that will meet these requirements. Examples from published biomedical studies are used to illustrate the advantages and disadvantages of a number of commonly used experimental designs. Biomedical studies often involve multiple measurements taken from the same subject. Two common examples are crossover designs and longitudinal studies. This section will describe the advantages and disadvantages of conducting studies in this way and describe the special methods of analysis that are often useful for these studies. These methods include the use of summary measures, such as within-patient rates of change or area under the curve, for analyzing dose-response and time-response data with repeated measurements. This section will also describe the need for modeling within-subject correlation patterns and will describe the effects of subject dropout or noncompliance.

Handouts

Learning Objectives

  1. To discuss the principles of experimental design as applied to biomedical research.
  2. To describe the issues involved in choosing an appropriate experimental design.
  3. To illustrate commonly used designs with examples drawn from current biomedical journal articles.
  4. To describe the advantages and disadvantages of conducting studies with repeated measurements.
  5. To describe the methods of analysis required by these designs.
  6. To discuss the issues in handling dropout or noncompliance.

Required Reading

Topic attachments
I Attachment Action Size Date Who Comment
StatThinkDesignSerial.pdfpdf StatThinkDesignSerial.pdf manage 252.1 K 28 Oct 2004 - 12:23 ChunLi Design and Serial Measurements
Topic revision: r6 - 04 Nov 2004, FrankHarrell
 

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