Bayesian analysis under accelerated failure time models with error-prone time-to-event outcomes.
- Published in:
- Lifetime Data Analysis, 2022, v. 28, n. 1, p. 139, doi. 10.1007/s10985-021-09543-3
- By:
- Publication type:
- Article
Works matching IS 13807870 AND DT 2022 AND VI 28 AND IP 1
Results: 7
1
2
Nonparametric inference in the accelerated failure time model using restricted means.
- Published in:
- Lifetime Data Analysis, 2022, v. 28, n. 1, p. 23, doi. 10.1007/s10985-021-09541-5
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- Publication type:
- Article
3
An additive hazards frailty model with semi-varying coefficients.
- Published in:
- Lifetime Data Analysis, 2022, v. 28, n. 1, p. 116, doi. 10.1007/s10985-021-09540-6
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- Publication type:
- Article
4
Prognostic accuracy for predicting ordinal competing risk outcomes using ROC surfaces.
- Published in:
- Lifetime Data Analysis, 2022, v. 28, n. 1, p. 1, doi. 10.1007/s10985-021-09539-z
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- Publication type:
- Article
5
Sample size calculation for clustered survival data under subunit randomization.
- Published in:
- Lifetime Data Analysis, 2022, v. 28, n. 1, p. 40, doi. 10.1007/s10985-021-09538-0
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- Publication type:
- Article
6
Semiparametric analysis of multivariate panel count data with nonlinear interactions.
- Published in:
- Lifetime Data Analysis, 2022, v. 28, n. 1, p. 89, doi. 10.1007/s10985-021-09537-1
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- Publication type:
- Article
7
Maximum likelihood estimation for length-biased and interval-censored data with a nonsusceptible fraction.
- Published in:
- Lifetime Data Analysis, 2022, v. 28, n. 1, p. 68, doi. 10.1007/s10985-021-09536-2
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- Publication type:
- Article