Stratified Cox Combined-Likelihood Compound Inference for KK Designs
Source:R/inference_survival_KK_strat_cox.R
InferenceSurvivalKKStratCoxPHOneLik.RdFits a single combined partial likelihood for KK matching-on-the-fly designs
with survival responses: matched pairs contribute a stratified Cox term (one
stratum per pair, canceling shared-frailty effects within the pair) and
reservoir subjects contribute a standard unstratified Cox term, summed into
one joint partial log-likelihood and optimized jointly for a single shared
treatment coefficient. This differs from the two-stage IVWC sibling
InferenceSurvivalKKStratCoxPHIVWC,
which fits the matched and reservoir sub-models separately and combines the
two log-hazard-ratio estimates by inverse-variance weighting; this class
instead estimates one coefficient from the combined likelihood directly,
which additionally supports likelihood-ratio tests and parametric
likelihood bootstrap (likelihood_tier = "partial").
References
Cox, D. R. (1972). "Regression Models and Life-Tables." Journal of the Royal Statistical Society, Series B, 34(2), 187-220.
Lee, E. W., Wei, L. J., and Amato, D. A. (1992). "Cox-Type Regression Analysis for Large Numbers of Small Groups of Correlated Failure Time Observations." In Survival Analysis: State of the Art, 237-247. Springer. doi:10.1007/978-94-015-7983-4_14
Super class
Inference -> InferenceSurvivalKKStratCoxPHOneLik
Methods
Public methods
InferenceSurvivalKKStratCoxPHOneLik$set_custom_randomization_statistic_function()InferenceSurvivalKKStratCoxPHOneLik$set_custom_randomization_statistic_cpp()InferenceSurvivalKKStratCoxPHOneLik$approximate_randomization_distribution_beta_hat_T()InferenceSurvivalKKStratCoxPHOneLik$supports_rand_pval_for_incidence()InferenceSurvivalKKStratCoxPHOneLik$compute_rand_two_sided_pval()
+ inherited public methods from Inference
Inference$capabilities()Inference$compute_asymp_confidence_interval()Inference$compute_asymp_two_sided_pval()Inference$compute_estimate()Inference$compute_exact_confidence_interval()Inference$compute_exact_two_sided_pval_for_treatment_effect()Inference$duplicate()Inference$get_analysis_data()Inference$get_covariates()Inference$get_design_object()Inference$get_model_formula()Inference$get_nonestimable_reason()Inference$get_nonestimable_stage()Inference$get_optimization_alg()Inference$get_response()Inference$get_response_type()Inference$get_treatment()Inference$initialize()Inference$is_nonestimable()Inference$set_optimization_alg()Inference$set_seed()Inference$supports()