A new LSE-GPQ method is proposed for exact inference on log-logistic reliability functions with improved small-sample coverage.
Chapman and Hall/CRC, 2023
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Bayesian bivariate meta-analysis of treatment and treatment-log(time) interaction coefficients from per-study Cox models to derive time-varying hazard ratios for survival data with non-proportional hazards.
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A Novel Exact Inference Approach for Log-Logistic Reliability Functions with Applications to Time-to-Event Data
A new LSE-GPQ method is proposed for exact inference on log-logistic reliability functions with improved small-sample coverage.
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Meta-analysis and network meta-analysis of time-to-event outcomes with non-proportional hazards: a Bayesian time-varying hazard ratio approach
Bayesian bivariate meta-analysis of treatment and treatment-log(time) interaction coefficients from per-study Cox models to derive time-varying hazard ratios for survival data with non-proportional hazards.