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K P Kleinman

Showing results (1-10 of 13) with videos related to

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Statistics in Medicine|December 5, 1998
A semi-parametric Bayesian approach to generalized linear mixed modelsK P Kleinman, J G Ibrahim
The Aging Male : the Official Journal of the International Society for the Study of the Aging Male|June 9, 2006
Prostate cancer: how much do we know and how do we know it?K P Kleinman, J B McKinlay
Biometrics|September 29, 1998
A semiparametric Bayesian approach to the random effects modelK P Kleinman, J G Ibrahim
Biometrics|April 17, 1998
A Bayesian framework for intent-to-treat analysis with missing dataK P Kleinman, J G Ibrahim, N M Laird
Epidemiology and Infection|June 21, 2005
A model-adjusted space-time scan statistic with an application to syndromic surveillanceK P Kleinman, A M Abrams, M Kulldorff, et al.
BMC Public Health|November 28, 2001
Using automated medical records for rapid identification of illness syndromes (syndromic surveillance): the example of lower respiratory infectionR Lazarus, K P Kleinman, I Dashevsky, et al.
Journal of Public Health (Oxford, England)|May 16, 2009
Using encounters versus episodes in syndromic surveillanceI Jung, M Kulldorff, K P Kleinman, et al.
Social Science & Medicine (1982)|September 7, 2000
Socioeconomic factors and incidence of erectile dysfunction: findings of the longitudinal Massachussetts Male Aging StudyI A Aytaç, A B Araujo, C B Johannes, et al.
Journal of Clinical Epidemiology|February 29, 2000
A new surrogate variable for erectile dysfunction status in the Massachusetts male aging studyK P Kleinman, H A Feldman, C B Johannes, et al.
The Journal of Urology|January 27, 2000
Incidence of erectile dysfunction in men 40 to 69 years old: longitudinal results from the Massachusetts male aging studyC B Johannes, A B Araujo, H A Feldman, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Statistics in Medicine|December 5, 1998
A semi-parametric Bayesian approach to generalized linear mixed modelsK P Kleinman, J G Ibrahim
The Aging Male : the Official Journal of the International Society for the Study of the Aging Male|June 9, 2006
Prostate cancer: how much do we know and how do we know it?K P Kleinman, J B McKinlay
Biometrics|September 29, 1998
A semiparametric Bayesian approach to the random effects modelK P Kleinman, J G Ibrahim
Biometrics|April 17, 1998
A Bayesian framework for intent-to-treat analysis with missing dataK P Kleinman, J G Ibrahim, N M Laird
Epidemiology and Infection|June 21, 2005
A model-adjusted space-time scan statistic with an application to syndromic surveillanceK P Kleinman, A M Abrams, M Kulldorff, et al.
BMC Public Health|November 28, 2001
Using automated medical records for rapid identification of illness syndromes (syndromic surveillance): the example of lower respiratory infectionR Lazarus, K P Kleinman, I Dashevsky, et al.
Journal of Public Health (Oxford, England)|May 16, 2009
Using encounters versus episodes in syndromic surveillanceI Jung, M Kulldorff, K P Kleinman, et al.
Social Science & Medicine (1982)|September 7, 2000
Socioeconomic factors and incidence of erectile dysfunction: findings of the longitudinal Massachussetts Male Aging StudyI A Aytaç, A B Araujo, C B Johannes, et al.
Journal of Clinical Epidemiology|February 29, 2000
A new surrogate variable for erectile dysfunction status in the Massachusetts male aging studyK P Kleinman, H A Feldman, C B Johannes, et al.
The Journal of Urology|January 27, 2000
Incidence of erectile dysfunction in men 40 to 69 years old: longitudinal results from the Massachusetts male aging studyC B Johannes, A B Araujo, H A Feldman, et al.
Pageof 2