Misclassification相关论文
Competing risks data arise naturally in observational cohort studies and clinical trials.Frequently,outcome determinatio......
There is increasing acknowledgement of the existence of patient subgroups within clinical research.As a consequence,many......
Pseudo-likelihood and bootstrapped pseudo-likelihood inference in logistic regression model with mis
Logistic regression is an important and widely used regression model for binary responses and is extensively used in man......
...
Consider an observed binary regressor D and an unobserved binary variable D*,both of which affect some other variable Y.......
oss time, thus emphasizing the need for the stochastic simulation in error modeling. Further investigations, incorporati......
Bayesian adjustment for over-estimation and under-estimation of gastric cancer incidence across Iran
AIM To correct the misclassification in registered gastric cancer incidence across Iranian provinces in cancer registry ......
In medical diagnosis, the problem of class imbalance is popular. Though there are abundant unlabeled data, it is very di......
Enterprises have vast amounts of customer behavior data in the era of big data. How to take advantage of these data to e......
BACKGROUND Misclassification of smoking habits leads to underestimation of true relationships between diseases and activ......
Binary measurement systems that classify parts as either pass or fail are widely used. Inspectors or inspection systems ......
Tests for a proportion that may be zero are described. The setting is an environment in which there can be misclassifica......
