Publications
Filters: Author is Zhao, Yue [Clear All Filters]
A multiple imputation method for sensitivity analyses of time-to-event data with possibly informative censoring." J Biopharm Stat 24, no. 2 (2014): 229-53.
"A multiple imputation method for sensitivity analyses of time-to-event data with possibly informative censoring." J Biopharm Stat 24, no. 2 (2014): 229-53.
"Sensitivity analysis for missing outcomes in time-to-event data with covariate adjustment." J Biopharm Stat 26, no. 2 (2016): 269-79.
"Sensitivity analysis for missing outcomes in time-to-event data with covariate adjustment." J Biopharm Stat 26, no. 2 (2016): 269-79.
"Sensitivity analysis for missing outcomes in time-to-event data with covariate adjustment." J Biopharm Stat 26, no. 2 (2016): 269-79.
"A multiple imputation method for sensitivity analyses of time-to-event data with possibly informative censoring." J Biopharm Stat 24, no. 2 (2014): 229-53.
"Sensitivity analysis for missing outcomes in time-to-event data with covariate adjustment." J Biopharm Stat 26, no. 2 (2016): 269-79.
"A multiple imputation method for sensitivity analyses of time-to-event data with possibly informative censoring." J Biopharm Stat 24, no. 2 (2014): 229-53.
"Sensitivity analysis for missing outcomes in time-to-event data with covariate adjustment." J Biopharm Stat 26, no. 2 (2016): 269-79.
"A multiple imputation method for sensitivity analyses of time-to-event data with possibly informative censoring." J Biopharm Stat 24, no. 2 (2014): 229-53.
"A multiple imputation method for sensitivity analyses of time-to-event data with possibly informative censoring." J Biopharm Stat 24, no. 2 (2014): 229-53.
"Sensitivity analysis for missing outcomes in time-to-event data with covariate adjustment." J Biopharm Stat 26, no. 2 (2016): 269-79.
"Sensitivity analysis for missing outcomes in time-to-event data with covariate adjustment." J Biopharm Stat 26, no. 2 (2016): 269-79.
"A multiple imputation method for sensitivity analyses of time-to-event data with possibly informative censoring." J Biopharm Stat 24, no. 2 (2014): 229-53.
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