Houston W J
Am J Orthod. 1983 May;83(5):382-90. doi: 10.1016/0002-9416(83)90322-6.
The sources of error in cephalometric measurement and their analyses are discussed. The importance of distinguishing bias and random errors is emphasized, and methods of control are discussed. Randomization of record measurement is one of the most important methods of avoiding bias, but it is rarely undertaken in cephalometric studies. Random errors are particularly important in the evaluation of individual radiographs, and a measurement that has a high error in relation to its total variability will be of little value in clinical assessment. In serial studies of facial change, the error variance is always a major part of the total variance and thus results have to be interpreted with caution. In cross-sectional studies it is not possible to specify exactly the acceptable limits of random errors, because this will depend on the difference between groups that would be of interest and on the number of cases. The judicious replication of measurements can be important in the control of random errors. In many papers, adequate error evaluation and control is lacking. In these circumstances, the results are of limited value because it is not possible to tell whether an apparent effect is the result of bias in measurement or whether a real effect is being obscured by random errors. It is incumbent on authors to consider how their measurement errors should affect the interpretation of results.
本文讨论了头影测量中的误差来源及其分析方法。强调了区分偏差和随机误差的重要性,并探讨了控制方法。记录测量的随机化是避免偏差的最重要方法之一,但在头影测量研究中很少采用。随机误差在个体X线片评估中尤为重要,相对于其总变异性而言误差较大的测量在临床评估中价值不大。在面部变化的系列研究中,误差方差始终是总方差的主要部分,因此对结果的解释必须谨慎。在横断面研究中,无法确切规定随机误差的可接受限度,因为这取决于感兴趣的组间差异和病例数。明智地重复测量对控制随机误差可能很重要。在许多论文中,缺乏充分的误差评估和控制。在这种情况下,结果的价值有限,因为无法判断明显的效应是测量偏差的结果,还是真实效应被随机误差掩盖。作者有责任考虑其测量误差应如何影响结果的解释。