Begg C B, McNeil B J
Department of Biostatistics, Dana-Farber Cancer Institute, Boston, MA 02115.
Radiology. 1988 May;167(2):565-9. doi: 10.1148/radiology.167.2.3357976.
The assessment of new radiologic tests can be seriously hampered by the presence of systematic bias. Biases can arise from incomplete verification of the sample population; omission of uninterpretable tests; absence of a definitive reference test; extraneous factors affecting interpretation; and extrapolation factors including variations in test efficacy among patients, hospitals, and the radiologists who interpret the tests. The authors review these biases that affect the results of efficacy studies and provide guidelines to avoid these problems.
系统偏差的存在可能会严重阻碍对新放射学检查的评估。偏差可能源于样本群体验证不完整;遗漏无法解读的检查;缺乏明确的参考检查;影响解读的外部因素;以及外推因素,包括患者、医院和解读检查的放射科医生之间检查效能的差异。作者回顾了这些影响效能研究结果的偏差,并提供了避免这些问题的指南。