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Michael E Griswold

Showing results (1-10 of 139) with videos related to

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Statistical Methods in Medical Research|September 3, 2015
Natural interpretations in Tobit regression models using marginal estimation methodsWei Wang, Michael E Griswold
American Journal of Epidemiology|April 22, 2026
Smoking hot joint models for attrition bias-XMAR-ks the spotMichael E Griswold, Ravi Varadhan
Statistics in Medicine|July 25, 2016
Estimating overall exposure effects for the clustered and censored outcome using random effect Tobit regression modelsWei Wang, Michael E Griswold
Epidemiology (Cambridge, Mass.)|May 29, 2025
Time and Age as Longitudinal Timescales: Multiple Useful Models are IlluminatingMichael E Griswold, M Maria Glymour
Annals of Internal Medicine|March 17, 2010
Propensity score adjustment with multilevel data: setting your sites on decreasing selection biasMichael E Griswold, A Russell Localio, Cynthia Mulrow
Annals of Internal Medicine|November 12, 2019
Advancing Personalized Medicine Through PredictionA Russell Localio, Cynthia D Mulrow, Michael E Griswold
Annals of Internal Medicine|July 11, 2017
Sensitivity Analysis for Unmeasured Confounding: E-Values for Observational StudiesA Russell Localio, Catherine B Stack, Michael E Griswold
Journal of the American Geriatrics Society|June 23, 2015
Response to Mehmet I. NaharciB Gwen Windham, Brittany N Simpson, Michael E Griswold
Computer Methods and Programs in Biomedicine|November 26, 2016
A SAS macro for the joint modeling of longitudinal outcomes and multiple competing risk dropoutsWei Wang, Wanmei Wang, Thomas H Mosley, et al.
Annals of Internal Medicine|March 7, 2007
Reproducible research: moving toward research the public can really trustChristine Laine, Steven N Goodman, Michael E Griswold, et al.
Pageof 14

Showing results (1-10 of 139) with videos related to

Sort By:
Pageof 14
Statistical Methods in Medical Research|September 3, 2015
Natural interpretations in Tobit regression models using marginal estimation methodsWei Wang, Michael E Griswold
American Journal of Epidemiology|April 22, 2026
Smoking hot joint models for attrition bias-XMAR-ks the spotMichael E Griswold, Ravi Varadhan
Statistics in Medicine|July 25, 2016
Estimating overall exposure effects for the clustered and censored outcome using random effect Tobit regression modelsWei Wang, Michael E Griswold
Epidemiology (Cambridge, Mass.)|May 29, 2025
Time and Age as Longitudinal Timescales: Multiple Useful Models are IlluminatingMichael E Griswold, M Maria Glymour
Annals of Internal Medicine|March 17, 2010
Propensity score adjustment with multilevel data: setting your sites on decreasing selection biasMichael E Griswold, A Russell Localio, Cynthia Mulrow
Annals of Internal Medicine|November 12, 2019
Advancing Personalized Medicine Through PredictionA Russell Localio, Cynthia D Mulrow, Michael E Griswold
Annals of Internal Medicine|July 11, 2017
Sensitivity Analysis for Unmeasured Confounding: E-Values for Observational StudiesA Russell Localio, Catherine B Stack, Michael E Griswold
Journal of the American Geriatrics Society|June 23, 2015
Response to Mehmet I. NaharciB Gwen Windham, Brittany N Simpson, Michael E Griswold
Computer Methods and Programs in Biomedicine|November 26, 2016
A SAS macro for the joint modeling of longitudinal outcomes and multiple competing risk dropoutsWei Wang, Wanmei Wang, Thomas H Mosley, et al.
Annals of Internal Medicine|March 7, 2007
Reproducible research: moving toward research the public can really trustChristine Laine, Steven N Goodman, Michael E Griswold, et al.
Pageof 14