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Emily M Mitchell

Showing results (1-10 of 23) with videos related to

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Epidemiology (Cambridge, Mass.)|October 22, 2015
It's About Time: A Survival Approach to Gestational Weight Gain and Preterm DeliveryEmily M Mitchell, Stefanie N Hinkle, Enrique F Schisterman
Statistics in Medicine|April 8, 2015
Positing, fitting, and selecting regression models for pooled biomarker dataEmily M Mitchell, Robert H Lyles, Enrique F Schisterman
Statistics in Medicine|August 18, 2016
Estimating relative risk of a log-transformed exposure measured in poolsEmily M Mitchell, Torie C Plowden, Enrique F Schisterman
American Journal of Epidemiology|March 5, 2015
Semiparametric regression models for a right-skewed outcome subject to poolingEmily M Mitchell, Robert H Lyles, Amita K Manatunga, et al.
Biometrical Journal. Biometrische Zeitschrift|January 30, 2016
Case-control data analysis for randomly pooled biomarkersNeil J Perkins, Emily M Mitchell, Robert H Lyles, et al.
International Journal of Environmental Research and Public Health|November 24, 2015
A Discriminant Function Approach to Adjust for Processing and Measurement Error When a Biomarker is Assayed in Pooled SamplesRobert H Lyles, Dane Van Domelen, Emily M Mitchell, et al.
Paediatric and Perinatal Epidemiology|February 27, 2016
Maternal Weight Gain During Pregnancy: Comparing Methods to Address Bias Due to Length of Gestation in Epidemiological StudiesStefanie N Hinkle, Emily M Mitchell, Katherine L Grantz, et al.
Statistics in Medicine|September 16, 2014
A highly efficient design strategy for regression with outcome poolingEmily M Mitchell, Robert H Lyles, Amita K Manatunga, et al.
Biometrics|March 12, 2016
An efficient design strategy for logistic regression using outcome- and covariate-dependent pooling of biospecimens prior to assayRobert H Lyles, Emily M Mitchell, Clarice R Weinberg, et al.
Epidemiology (Cambridge, Mass.)|September 28, 2016
Collinearity and Causal Diagrams: A Lesson on the Importance of Model SpecificationEnrique F Schisterman, Neil J Perkins, Sunni L Mumford, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
Epidemiology (Cambridge, Mass.)|October 22, 2015
It's About Time: A Survival Approach to Gestational Weight Gain and Preterm DeliveryEmily M Mitchell, Stefanie N Hinkle, Enrique F Schisterman
Statistics in Medicine|April 8, 2015
Positing, fitting, and selecting regression models for pooled biomarker dataEmily M Mitchell, Robert H Lyles, Enrique F Schisterman
Statistics in Medicine|August 18, 2016
Estimating relative risk of a log-transformed exposure measured in poolsEmily M Mitchell, Torie C Plowden, Enrique F Schisterman
American Journal of Epidemiology|March 5, 2015
Semiparametric regression models for a right-skewed outcome subject to poolingEmily M Mitchell, Robert H Lyles, Amita K Manatunga, et al.
Biometrical Journal. Biometrische Zeitschrift|January 30, 2016
Case-control data analysis for randomly pooled biomarkersNeil J Perkins, Emily M Mitchell, Robert H Lyles, et al.
International Journal of Environmental Research and Public Health|November 24, 2015
A Discriminant Function Approach to Adjust for Processing and Measurement Error When a Biomarker is Assayed in Pooled SamplesRobert H Lyles, Dane Van Domelen, Emily M Mitchell, et al.
Paediatric and Perinatal Epidemiology|February 27, 2016
Maternal Weight Gain During Pregnancy: Comparing Methods to Address Bias Due to Length of Gestation in Epidemiological StudiesStefanie N Hinkle, Emily M Mitchell, Katherine L Grantz, et al.
Statistics in Medicine|September 16, 2014
A highly efficient design strategy for regression with outcome poolingEmily M Mitchell, Robert H Lyles, Amita K Manatunga, et al.
Biometrics|March 12, 2016
An efficient design strategy for logistic regression using outcome- and covariate-dependent pooling of biospecimens prior to assayRobert H Lyles, Emily M Mitchell, Clarice R Weinberg, et al.
Epidemiology (Cambridge, Mass.)|September 28, 2016
Collinearity and Causal Diagrams: A Lesson on the Importance of Model SpecificationEnrique F Schisterman, Neil J Perkins, Sunni L Mumford, et al.
Pageof 3