A Bayesian Chi-Squared Goodness-of-Fit Test for Censored Data Models
From MaRDI portal
Publication:3576918
DOI10.1111/j.1541-0420.2009.01294.xzbMath1192.62074OpenAlexW1965632115WikidataQ33488984 ScholiaQ33488984MaRDI QIDQ3576918
Ann Moosman, Jing Cao, Valen E. Johnson
Publication date: 3 August 2010
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/j.1541-0420.2009.01294.x
Nonparametric hypothesis testing (62G10) Censored data models (62N01) Bayesian inference (62F15) Numerical analysis or methods applied to Markov chains (65C40) Testing in survival analysis and censored data (62N03) Reliability and life testing (62N05)
Related Items
Cites Work
- Unnamed Item
- Unnamed Item
- Generalized Pearson-Fisher chi-square goodness-of-fit tests, with applications to models with life history data
- Goodness of fit tests in models for life history data based on cumulative hazard rates
- Bayesianly justifiable and relevant frequency calculations for the applied statistician
- Stochastically extremal distributions of order statistics for dependent samples
- Bounds on distribution functions of order statistics for dependent variates
- A Weibull regression model with gamma frailties for multivariate survival data
- Chi-squared goodness-of-fit theory under proportional censorship
- Assessing gamma frailty models for clustered failure time data
- A Bayesian \(\chi^2\) test for goodness-of-fit
- Pearson-Type Goodness-of-Fit Tests: The Univariate Case
- Chi-Squared Goodness-of-Fit Tests: Cell Selection and Power
- A Chi-Squared Goodness-of-Fit Test for Randomly Censored Data
- Bayesian Analysis of Proportional Hazards Models Built from Monotone Functions
- Semiparametric Bayesian Analysis of Survival Data
- Pearson‐type goodness‐of‐fit tests for regression
- P Values for Composite Null Models
- Asymptotic Distribution of P Values in Composite Null Models
- Bayes Factors
- Bayesian model assessment using pivotal quantities