Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Guanghan (Frank) Liu"'
Publikováno v:
Statistical Theory and Related Fields, Vol 0, Iss 0, Pp 1-14 (2023)
Missing data is unavoidable in longitudinal clinical trials, and outcomes are not always normally distributed. In the presence of outliers or heavy-tailed distributions, the conventional multiple imputation with the mixed model with repeated measures
Externí odkaz:
https://doaj.org/article/b7b55907b9734cb898124862c4a35a2a
Publikováno v:
Statistical Methods in Medical Research. 32:181-194
Missing data is inevitable in longitudinal clinical trials. Conventionally, the missing at random assumption is assumed to handle missingness, which however is unverifiable empirically. Thus, sensitivity analyses are critically important to assess th
Publikováno v:
Statistical methods in medical research.
There has been an increased interest in borrowing information from historical control data to improve the statistical power for hypothesis testing, therefore reducing the required sample sizes in clinical trials. To account for the heterogeneity betw
Autor:
Jason J. Z. Liao, Guanghan Frank Liu
Publikováno v:
Pharmaceutical Statistics. 18:555-567
Time-to-event data are common in clinical trials to evaluate survival benefit of a new drug, biological product, or device. The commonly used parametric models including exponential, Weibull, Gompertz, log-logistic, log-normal, are simply not flexibl
Publikováno v:
Biometrics
Censored survival data are common in clinical trial studies. We propose a unified framework for sensitivity analysis to censoring at random in survival data using multiple imputation and martingale, called SMIM. The proposed framework adopts the \del
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a73e592c129a6236d92b06cd24fe4158
Autor:
Guanghan Frank Liu, Jason J. Z. Liao
Cox proportional hazards (PH) model evaluates the effects of interested covariates under PH assumption without specified the baseline hazard. In clinical trial applications, however, the explicitly estimated hazard or cumulative survival function for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6979cc23d28acb6051b75670aa6e05f0