Effect of experimental design on sample size

An increasing practical problem in the evaluation of the accuracy of new imaging systems, as well as the effect of modifications in the display of current imaging systems, is the effort entailed in performing the necessary readings. Although some constraints are dictated by the specific evaluation being conducted, some aspects of the experiment can be determined by the investigator. These include, but are not limited to, the method used to select the cases (selected, stratified, or random) and whether continuous variables that are being evaluated (i.e., pixel size, brightness, contrast) are grouped into discrete categories. The selection of the experimental design has an impact on the sample size required to answer the study question and thus impacts on the cost and effort required to do the study.

[1]  H E Rockette,et al.  Effect of observer instruction on ROC study of chest images. , 1990, Investigative radiology.

[2]  V. Zurawski,et al.  Radioimmunometric assay for a monoclonal antibody-defined tumor marker, CA 19-9. , 1983, Clinical chemistry.

[3]  W Zucchini,et al.  On the statistical analysis of ROC curves. , 1989, Statistics in medicine.

[4]  J. Hanley,et al.  A method of comparing the areas under receiver operating characteristic curves derived from the same cases. , 1983, Radiology.

[5]  D K McClish Determining a Range of False-positive Rates for Which ROC Curves Differ , 1990, Medical decision making : an international journal of the Society for Medical Decision Making.

[6]  R. Bast,et al.  A radioimmunoassay using a monoclonal antibody to monitor the course of epithelial ovarian cancer. , 1983, The New England journal of medicine.

[7]  J A Hanley,et al.  Paired receiver operating characteristic curves and the effect of history on radiographic interpretation. CT of the head as a case study. , 1983, Radiology.

[8]  Mitchell H. Gail,et al.  A family of nonparametric statistics for comparing diagnostic markers with paired or unpaired data , 1989 .

[9]  M H Gail,et al.  Use of logrank tests and group sequential methods at fixed calendar times. , 1985, Biometrics.

[10]  C B Begg,et al.  A General Regression Methodology for ROC Curve Estimation , 1988, Medical decision making : an international journal of the Society for Medical Decision Making.

[11]  J. Hanley,et al.  The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.