INTRODUCTION

We call the first two the double whammy of measurement error. Most of the statistical methods described in this book are aimed at the first problem, namely, to correct for biases of estimation caused by measurement error. Later in this chapter, we will describe an example from radiation dosimetry and the profound loss of power for detecting risks that occurs with uncertainties in individual doses. Here, we briefly describe the third issue, the masking of features.