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Raji Balasubramanian

Showing results (1-10 of 86) with videos related to

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The International Journal of Biostatistics|July 4, 2012
Comparative evaluation of classifiers in the presence of statistical interactions between features in high dimensional data settingsYu Guo, Raji Balasubramanian
Statistics in Medicine|May 19, 2016
Study design for non-recurring, time-to-event outcomes in the presence of error-prone diagnostic tests or self-reportsXiangdong Gu, Raji Balasubramanian
Biometrics|June 8, 2004
Analyzing time-to-event data in a clinical trial when an unknown proportion of subjects has experienced the event at entryRaji Balasubramanian, Stephen W Lagakos
Biometrics|April 29, 2009
Estimating HIV incidence based on combined prevalence testingRaji Balasubramanian, Stephen W Lagakos
The Annals of Applied Statistics|February 3, 2016
SEMIPARAMETRIC TIME TO EVENT MODELS IN THE PRESENCE OF ERROR-PRONE, SELF-REPORTED OUTCOMES-WITH APPLICATION TO THE WOMEN'S HEALTH INITIATIVEXiangdong Gu, Yunsheng Ma, Raji Balasubramanian
Bioinformatics (Oxford, England)|July 17, 2004
A graph-theoretic approach to testing associations between disparate sources of functional genomics dataRaji Balasubramanian, Thomas LaFramboise, Denise Scholtens, et al.
Annals of Epidemiology|October 13, 2019
The missing indicator approach for censored covariates subject to limit of detection in logistic regression modelsSy Han Chiou, Rebecca A Betensky, Raji Balasubramanian
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|February 16, 2019
A Modified Random Survival Forests Algorithm for High Dimensional Predictors and Self-Reported OutcomesHui Xu, Xiangdong Gu, Mahlet G Tadesse, et al.
BMC Bioinformatics|September 7, 2010
Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification algorithmsYu Guo, Armin Graber, Robert N McBurney, et al.
The R Journal|February 3, 2016
Stratified Weibull Regression Model for Interval-Censored DataXiangdong Gu, David Shapiro, Michael D Hughes, et al.
Pageof 9

Showing results (1-10 of 86) with videos related to

Sort By:
Pageof 9
The International Journal of Biostatistics|July 4, 2012
Comparative evaluation of classifiers in the presence of statistical interactions between features in high dimensional data settingsYu Guo, Raji Balasubramanian
Statistics in Medicine|May 19, 2016
Study design for non-recurring, time-to-event outcomes in the presence of error-prone diagnostic tests or self-reportsXiangdong Gu, Raji Balasubramanian
Biometrics|June 8, 2004
Analyzing time-to-event data in a clinical trial when an unknown proportion of subjects has experienced the event at entryRaji Balasubramanian, Stephen W Lagakos
Biometrics|April 29, 2009
Estimating HIV incidence based on combined prevalence testingRaji Balasubramanian, Stephen W Lagakos
The Annals of Applied Statistics|February 3, 2016
SEMIPARAMETRIC TIME TO EVENT MODELS IN THE PRESENCE OF ERROR-PRONE, SELF-REPORTED OUTCOMES-WITH APPLICATION TO THE WOMEN'S HEALTH INITIATIVEXiangdong Gu, Yunsheng Ma, Raji Balasubramanian
Bioinformatics (Oxford, England)|July 17, 2004
A graph-theoretic approach to testing associations between disparate sources of functional genomics dataRaji Balasubramanian, Thomas LaFramboise, Denise Scholtens, et al.
Annals of Epidemiology|October 13, 2019
The missing indicator approach for censored covariates subject to limit of detection in logistic regression modelsSy Han Chiou, Rebecca A Betensky, Raji Balasubramanian
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|February 16, 2019
A Modified Random Survival Forests Algorithm for High Dimensional Predictors and Self-Reported OutcomesHui Xu, Xiangdong Gu, Mahlet G Tadesse, et al.
BMC Bioinformatics|September 7, 2010
Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification algorithmsYu Guo, Armin Graber, Robert N McBurney, et al.
The R Journal|February 3, 2016
Stratified Weibull Regression Model for Interval-Censored DataXiangdong Gu, David Shapiro, Michael D Hughes, et al.
Pageof 9