Part I: Estimation in regression models with errors in covariates 1Measurement error models Consider an ordinary model of nonlinear regression Here, ξi ∈ Rd are known (observable) values of regressors;…

4Nonlinear and generalized linear models In previous chapters, we studied some types of nonlinear regression (1.1) and considered the binary logistic regression models (1.2) and (1.3). It turns out that…

3Polynomial regression with known variance of classical error In Chapter 1, it was mentioned that the binary observation model (1.2), (1.4), and (1.5) is widespread in radio-epidemiology. This binary model…

2Linear models with classical error In this chapter, we illustrate the problems arising when estimating regression parameters with classical measurement errors using an example of the simplest regression model, the…

7Radiation risk estimation for persons exposed by radioiodine as a result of the Chornobyl accident As a result of the Chornobyl accident in 1986, much of the territories of Ukraine,…

6Estimation of radiation risk under classical or Berkson multiplicative error in exposure doses As well known, today the most common methods for estimation of radiation risks that associated with human…

Part II: Radiation risk estimation under uncertainty in exposure doses 5Overview of risk models realized in program package EPICURE EPICURE is a package of applied interactive computer programs designed on…