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Daniel F Heitjan

Showing results (41-50 of 123) with videos related to

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Clinical Trials (London, England)|October 19, 2007
Predicting event times in clinical trials when randomization is masked and blockedJ Mark Donovan, Michael R Elliott, Daniel F Heitjan
Journal of Biopharmaceutical Statistics|May 27, 2006
Predicting event times in clinical trials when treatment arm is maskedJ Mark Donovan, Michael R Elliott, Daniel F Heitjan
Psychological Methods|November 16, 2023
Tutorial: Assessing the impact of nonignorable missingness on regression analysis using Index of Local Sensitivity to NonignorabilityBocheng Jing, Yi Qian, Daniel F Heitjan, et al.
Statistics in Medicine|October 12, 2021
Estimating the optimal timing of surgery by imputing potential outcomesXiaofei Chen, Daniel F Heitjan, Gerald Greil, et al.
International Journal of Methods in Psychiatric Research|June 18, 2015
Model-based imputation of latent cigarette counts using data from a calibration studySandra D Griffith, Saul Shiffman, Yimei Li, et al.
Biometrics|June 8, 2020
Estimating the optimal timing of surgery from observational dataXiaofei Chen, Daniel F Heitjan, Gerald Greil, et al.
The Annals of Applied Statistics|January 17, 2014
Truth and Memory: Linking Instantaneous and Retrospective Self-Reported Cigarette ConsumptionHao Wang, Saul Shiffman, Sandra D Griffith, et al.
Biostatistics (Oxford, England)|December 1, 2012
Assessing the fit of parametric cure modelsE Paul Wileyto, Yimei Li, Jinbo Chen, et al.
Statistical Methods in Medical Research|February 23, 2018
Estimating cost-effectiveness from claims and registry data with measured and unmeasured confoundersElizabeth A Handorf, Daniel F Heitjan, Justin E Bekelman, et al.
Statistics in Medicine|May 13, 2017
Proximity and gravity: modeling heaped self-reportsChelsea McCarty Allen, Sandra D Griffith, Saul Shiffman, et al.
Pageof 13

Showing results (41-50 of 123) with videos related to

Sort By:
Pageof 13
Clinical Trials (London, England)|October 19, 2007
Predicting event times in clinical trials when randomization is masked and blockedJ Mark Donovan, Michael R Elliott, Daniel F Heitjan
Journal of Biopharmaceutical Statistics|May 27, 2006
Predicting event times in clinical trials when treatment arm is maskedJ Mark Donovan, Michael R Elliott, Daniel F Heitjan
Psychological Methods|November 16, 2023
Tutorial: Assessing the impact of nonignorable missingness on regression analysis using Index of Local Sensitivity to NonignorabilityBocheng Jing, Yi Qian, Daniel F Heitjan, et al.
Statistics in Medicine|October 12, 2021
Estimating the optimal timing of surgery by imputing potential outcomesXiaofei Chen, Daniel F Heitjan, Gerald Greil, et al.
International Journal of Methods in Psychiatric Research|June 18, 2015
Model-based imputation of latent cigarette counts using data from a calibration studySandra D Griffith, Saul Shiffman, Yimei Li, et al.
Biometrics|June 8, 2020
Estimating the optimal timing of surgery from observational dataXiaofei Chen, Daniel F Heitjan, Gerald Greil, et al.
The Annals of Applied Statistics|January 17, 2014
Truth and Memory: Linking Instantaneous and Retrospective Self-Reported Cigarette ConsumptionHao Wang, Saul Shiffman, Sandra D Griffith, et al.
Biostatistics (Oxford, England)|December 1, 2012
Assessing the fit of parametric cure modelsE Paul Wileyto, Yimei Li, Jinbo Chen, et al.
Statistical Methods in Medical Research|February 23, 2018
Estimating cost-effectiveness from claims and registry data with measured and unmeasured confoundersElizabeth A Handorf, Daniel F Heitjan, Justin E Bekelman, et al.
Statistics in Medicine|May 13, 2017
Proximity and gravity: modeling heaped self-reportsChelsea McCarty Allen, Sandra D Griffith, Saul Shiffman, et al.
Pageof 13