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David C Hoaglin

Showing results (11-20 of 47) with videos related to

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BMC Medical Research Methodology|October 23, 2020
Estimation in meta-analyses of response ratiosIlyas Bakbergenuly, David C Hoaglin, Elena Kulinskaya
American Journal of Clinical Pathology|July 28, 2010
Chairpersons of pathology in the United States: limited benchmarks for publicationsJohn Hedley-Whyte, Debra R Milamed, David C Hoaglin
Research Synthesis Methods|May 10, 2021
A Q statistic with constant weights for assessing heterogeneity in meta-analysisElena Kulinskaya, David C Hoaglin, Ilyas Bakbergenuly, et al.
Statistics in Medicine|November 29, 2013
An empirical comparison of univariate and multivariate meta-analyses for categorical outcomesThomas A Trikalinos, David C Hoaglin, Christopher H Schmid
Multiple Sclerosis and Related Disorders|February 24, 2024
Evaluating the Clinical Utility of Epstein-Barr Virus Antibodies as Biomarkers in Multiple Sclerosis: A Systematic ReviewAbigail Bose, Farnaz Khalighinejad, David C Hoaglin, et al.
Statistics in Medicine|July 23, 2003
Implementation and applications of bootstrap methods for the National Immunization SurveyPhilip J Smith, David C Hoaglin, Michael P Battaglia, et al.
European Journal of Medical Research|June 22, 2013
Use of mixed-treatment-comparison methods in estimating efficacy of treatments for heavy menstrual bleedingDavid C Hoaglin, Anna Filonenko, Mark E Glickman, et al.
Statistical Methodology|July 29, 2014
Efficient network meta-analysis: a confidence distribution approachGuang Yang, Dungang Liu, Regina Y Liu, et al.
Journal of Health and Human Services Administration|February 2, 2008
Quality of life in people with multiple sclerosis: data from the Sonya Slifka Longitudinal Multiple Sclerosis StudyNing Wu, Sarah L Minden, David C Hoaglin, et al.
Pharmaceutical Statistics|November 28, 2020
Adjusting win statistics for dependent censoringGaohong Dong, Bo Huang, Duolao Wang, et al.
Pageof 5

Showing results (11-20 of 47) with videos related to

Sort By:
Pageof 5
BMC Medical Research Methodology|October 23, 2020
Estimation in meta-analyses of response ratiosIlyas Bakbergenuly, David C Hoaglin, Elena Kulinskaya
American Journal of Clinical Pathology|July 28, 2010
Chairpersons of pathology in the United States: limited benchmarks for publicationsJohn Hedley-Whyte, Debra R Milamed, David C Hoaglin
Research Synthesis Methods|May 10, 2021
A Q statistic with constant weights for assessing heterogeneity in meta-analysisElena Kulinskaya, David C Hoaglin, Ilyas Bakbergenuly, et al.
Statistics in Medicine|November 29, 2013
An empirical comparison of univariate and multivariate meta-analyses for categorical outcomesThomas A Trikalinos, David C Hoaglin, Christopher H Schmid
Multiple Sclerosis and Related Disorders|February 24, 2024
Evaluating the Clinical Utility of Epstein-Barr Virus Antibodies as Biomarkers in Multiple Sclerosis: A Systematic ReviewAbigail Bose, Farnaz Khalighinejad, David C Hoaglin, et al.
Statistics in Medicine|July 23, 2003
Implementation and applications of bootstrap methods for the National Immunization SurveyPhilip J Smith, David C Hoaglin, Michael P Battaglia, et al.
European Journal of Medical Research|June 22, 2013
Use of mixed-treatment-comparison methods in estimating efficacy of treatments for heavy menstrual bleedingDavid C Hoaglin, Anna Filonenko, Mark E Glickman, et al.
Statistical Methodology|July 29, 2014
Efficient network meta-analysis: a confidence distribution approachGuang Yang, Dungang Liu, Regina Y Liu, et al.
Journal of Health and Human Services Administration|February 2, 2008
Quality of life in people with multiple sclerosis: data from the Sonya Slifka Longitudinal Multiple Sclerosis StudyNing Wu, Sarah L Minden, David C Hoaglin, et al.
Pharmaceutical Statistics|November 28, 2020
Adjusting win statistics for dependent censoringGaohong Dong, Bo Huang, Duolao Wang, et al.
Pageof 5