Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Stanley A. Lubanski"'
Autor:
Margaret B. Nolan, Thomas M. Piasecki, Stevens S. Smith, Timothy B. Baker, Michael C. Fiore, Robert T. Adsit, Daniel M. Bolt, Karen L. Conner, Steven L. Bernstein, Oliver D. Eng, David Lazuk, Alec Gonzalez, Todd Hayes-Birchler, Douglas E. Jorenby, Heather D'Angelo, Julie A. Kirsch, Brian S. Williams, Sean Kent, Hanna Kim, Stanley A. Lubanski, Menggang Yu, Youmi Suk, Yuxin Cai, Nitu Kashyap, Jomol Mathew, Gabriel McMahan, Betsy Rolland, Hilary A. Tindle, Graham W. Warren, Noor Abu-el-rub, Lawrence C. An, Andrew D. Boyd, Darlene H. Brunzell, Victor A. Carrillo, Li-Shiun Chen, James M. Davis, Vikrant G. Deshmukh, Deepika Dilip, Adam O. Goldstein, Patrick K. Ha, Eduardo Iturrate, Thulasee Jose, Niharika Khanna, Andrea King, Elizabeth Klass, Michelle Lui, Robin J. Mermelstein, Chester Poon, Elisa Tong, Karen M. Wilson, Wendy E. Theobald, Wendy S. Slutske
Publikováno v:
Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, vol 32, iss 1
Background: There is mixed evidence about the relations of current versus past cancer with severe COVID-19 outcomes and how they vary by patient and cancer characteristics. Methods: Electronic health record data of 104,590 adult hospitalized patients
Publikováno v:
Complementary Research Methods for Educational Leadership and Policy Studies ISBN: 9783319935386
The challenge of making causal inferences from observational data consists not only in mastering the statistical matching techniques but also in meeting the causal assumptions. In this chapter, we have explained what the causal estimands are and how
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8dbbb72bb0a149510dc2a672ce4595ed
https://doi.org/10.1007/978-3-319-93539-3_9
https://doi.org/10.1007/978-3-319-93539-3_9