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American Journal of Epidemiology|November 5, 2013
Invited commentary: Identifying the improbable, the value of incremental insightsPenelope P Howards
American Journal of Epidemiology|January 16, 2008
Invited commentary: the use of imperfect data--compromise or compromising?Penelope P Howards
Acta Obstetricia Et Gynecologica Scandinavica|January 18, 2018
An overview of confounding. Part 1: the concept and how to address itPenelope P Howards
Acta Obstetricia Et Gynecologica Scandinavica|January 18, 2018
An overview of confounding. Part 2: how to identify it and special situationsPenelope P Howards
Fertility and Sterility|June 26, 2007
Disentangling causal paths between obesity and in vitro fertilization outcomes: an intractable problem?Penelope P Howards, Maureen A Cooney
Archives of Environmental & Occupational Health|April 5, 2019
Anti-Müllerian hormone levels in nurses working night shiftsCandice Y Johnson, Lauren J Tanz, Christina C Lawson, et al.
BMC Women'S Health|December 2, 2014
Piloting a computer assisted telephone interview: the FUCHSIA Women's StudyHelen B Chin, Candice Y Johnson, Konny H Kim, et al.
Epidemiology (Cambridge, Mass.)|November 20, 2021
Misclassification of Neonatal Abstinence Syndrome Surveillance Estimates: Is Considering the Positive Predictive Value Enough?Katie Labgold, Lindsay J Collin, Penelope P Howards
American Journal of Epidemiology|December 8, 2006
Conditions for bias from differential left truncationPenelope P Howards, Irva Hertz-Picciotto, Charles Poole
Epidemiology (Cambridge, Mass.)|September 20, 2007
Potential confounding by exposure history and prior outcomes: an example from perinatal epidemiologyPenelope P Howards, Enrique F Schisterman, Patrick J Heagerty
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