Bootstrap confidence intervals for loess-based calibration curves.
2014
Peter C Austin, and
Ewout W Steyerberg
Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada; Institute of Health Management, Policy and Evaluation, University of Toronto; Schulich Heart Research Program, Sunnybrook Research Institute, Toronto, Canada. peter.austin@ices.on.ca.
UI
MeSH Term
Description
Entries
D000465
Algorithms
A procedure consisting of a sequence of algebraic formulas and/or logical steps to calculate or determine a given task.
Algorithm
D016015
Logistic Models
Statistical models which describe the relationship between a qualitative dependent variable (that is, one which can take only certain discrete values, such as the presence or absence of a disease) and an independent variable. A common application is in epidemiology for estimating an individual's risk (probability of a disease) as a function of a given risk factor.
A principle of estimation in which the estimates of a set of parameters in a statistical model are those quantities minimizing the sum of squared differences between the observed values of a dependent variable and the values predicted by the model.
January 2020,
Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America,
January 2019,
Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America,