Confidence estimation via the parametric bootstrap in logistic joinpoint regression
- 9 March 2009
- journal article
- research article
- Published by Elsevier in Journal of Statistical Planning and Inference
- Vol. 139 (9) , 3132-3141
- https://doi.org/10.1016/j.jspi.2009.02.017
Abstract
No abstract availableKeywords
This publication has 19 references indexed in Scilit:
- Model selection in logistic joinpoint regression with applications to analyzing cohort mortality patternsStatistics in Medicine, 2007
- Bootstrapping Parametric Models of MortalityScandinavian Actuarial Journal, 2004
- Selecting the Number of Knots for Penalized SplinesJournal of Computational and Graphical Statistics, 2002
- Bayesian analysis of logistic regression with an unknown change point and covariate measurement errorStatistics in Medicine, 2001
- Inconsistency of the Bootstrap when a Parameter is on the Boundary of the Parameter SpaceEconometrica, 2000
- Estimation of a Change Point in Multiple Regression ModelsThe Review of Economics and Statistics, 1997
- Iterated Partial Sum Sequences of Regression Residuals and Tests for Changepoints with Continuity ConstraintsJournal of the Royal Statistical Society Series B: Statistical Methodology, 1997
- Flexible smoothing with B-splines and penaltiesStatistical Science, 1996
- Tests for parameter changes at unknown times in linear regression modelsJournal of Statistical Planning and Inference, 1991
- On Asymptotic Distribution Theory in Segmented Regression Problems-- Identified CaseThe Annals of Statistics, 1975