Semiparametric Additive Model for Estimating Risk Difference in Multicenter Studies. Read more about Semiparametric Additive Model for Estimating Risk Difference in Multicenter Studies.
Multiplicative rates model for recurrent events in case-cohort studies. Read more about Multiplicative rates model for recurrent events in case-cohort studies.
A Massive Data Framework for M-Estimators with Cubic-Rate. Read more about A Massive Data Framework for M-Estimators with Cubic-Rate.
BTAD : Biomarker Threshold Adaptive Designs for Survival Endpoints (C++) Read more about BTAD : Biomarker Threshold Adaptive Designs for Survival Endpoints (C++)
AEBSD: Sample size of AEBSD and Comparison with BSD (R) Read more about AEBSD: Sample size of AEBSD and Comparison with BSD (R)
Semiparametric inference for a two-stage outcome-dependent sampling design with interval-censored failure time data. Read more about Semiparametric inference for a two-stage outcome-dependent sampling design with interval-censored failure time data.
Tests of trend between disease outcomes and ordinal covariates discretized from underlying continuous variables: simulation studies and applications to NHANES 2007-2008. Read more about Tests of trend between disease outcomes and ordinal covariates discretized from underlying continuous variables: simulation studies and applications to NHANES 2007-2008.
K-Sample comparisons using propensity analysis. Read more about K-Sample comparisons using propensity analysis.
A practical Bayesian adaptive design incorporating data from historical controls. Read more about A practical Bayesian adaptive design incorporating data from historical controls.
Biomarker threshold adaptive designs for survival endpoints. Read more about Biomarker threshold adaptive designs for survival endpoints.
