Epidemiology

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aPercentages and IQRw are based on weighted data to account for sampling design. bRates are reported per 100,000 population.

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Your message has been successfully sent to your colleague. Some error has occurred while processing your request. Please try after some time. End Note Procite Reference Manager Save my selection Letters Epidemiology | DOI: 10.1097/EDE.0000000000001590 Free SDC Given current evidence, clinical guidelines1 consider obesity (body mass index [BMI] ≥ 30), but not overweight (BMI 25–29.9), to be a risk factor for all-cause mortality.

Send a copy to your email Your message has been successfully sent to your colleague. Some error has occurred while processing your request. Please try after some time. End Note Procite Reference Manager Save my selection Editorials: PDF Only Greenland, Sander; Pearl, Judea; Robins, James M.

The model that dominates classical approaches to measurement and scale development, sometimes referred to as a reflective model, typically presupposes an underlying univariate latent variable that gives rise to measured indicators.1–4 The latent variable is then thought to correspond to some psychosocial construct of interest. It is often assumed that the underlying latent variable has causal efficacy,4,5 even though all we observe are its indicators.

Colleague's Email: Send a copy to your email Your message has been successfully sent to your colleague. Some error has occurred while processing your request. Please try after some time. End Note Procite Reference Manager Save my selection Methods A Conversation Between Trialists and Epidemiologists Mansournia, Mohammad Ali; Higgins, Julian P. T.; Sterne, Jonathan A. C.; Hernán, Miguel A.

Methods Lash, Timothy L.a; Schisterman, Enrique F.b Author Information From the aDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA; bEpidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD. Editor’s Note: Related articles appear on pp. 50, 58, and 67. Disclosure: The authors report no conflicts of interest.

Original Article: PDF Only Lopez, Michael J.1,2; Mack, Christina3,4; Bliss, Thompson1; Wasserman, Erin B.3; Myers, Emily1; Solomon, Gary1; Lynch, John6; Casolaro, Anthony7; Osterholm, Michael8; Hanfling, Dan MD9; Mayer, Thom MD10; Sills, Allen K.1 Author Information 1 National Football League, New York, NY 2 Department of Mathematics and Statistics, Skidmore College 3 IQVIA, Real World Solutions, Durham, NC 4 Department of Epidemiology, University of North Carolina-Chapel Hill, Chapel Hill,...