Risk prediction models for endometrial cancer: development and validation in an international consortium

January 2023
Journal of the National Cancer Institute

Joy Shi, Peter Kraft, Bernard A. Rosner, Yolanda Benavente, Amanda Black, Louise A. Brinton, Chu Chen, Megan A. Clarke, Linda S. Cook, Laura Costas, Luigino Dal Maso, Jo L. Freudenheim, Jon Frias-Gomez, Christine M. Friedenreich, Montserrat Garcia-Closas, Marc T. Goodman, Lisa Johnson, Carlo La Vecchia, Fabio Levi, Jolanta Lissowska, Lingeng Lu, Susan E. McCann, Kirsten B. Moysich, Eva Negri, Kelli O’Connell, Fabio Parazzini, Stacey Petruzella, Jerry Polesel, Jeanette Ponte, Timothy R. Rebbeck, Peggy Reynolds, Fulvio Ricceri, Harvey A. Risch, Carlotta Sacerdote, Veronica W. Setiawan, Xiao-Ou Shu, Amanda B. Spurdle, Britton Trabert, Penelope M. Webb, Nicolas Wentzensen, Lynne R. Wilkens, Wang Hong Xu, Hannah P. Yang, Herbert Yu, Mengmeng Du, Immaculata De Vivo

We develop and externally validate risk prediction models for endometrial cancer based on epidemiologic risk factors and epidemiologic plus genetic risk factors.

Effect of colonoscopy screening on risks of colorectal cancer and related death

October 2022
New England Journal of Medicine

Michael Bretthauer, Magnus Løberg, Paulina Wieszczy, Mette Kalager, Louise Emilsson, Kjetil Garborg, Maciej Rupinski, Evelien Dekker, Manon Spaander, Marek Bugajski, Øyvind Holme, Ann G. Zauber, Nastazja D. Pilonis, Andrzej Mroz, Ernst J. Kuipers, Joy Shi, Miguel A. Hernán, Hans-Olov Adami, Jaroslaw Regula, Geir Hoff, and Michal F. Kaminski, for the NordICC Study Group

We present the results from the NordICC trial, a pragmatic, randomized trial involving men and women aged 55 to 64 years of age from Poland, Norway, Sweden, and the Netherlands between 2009 and 2014 who were randomized to receive an invitation to undergo a single screening colonoscopy or to receive no invitation or screening.

Mendelian randomization with repeated measures of a time-varying exposure: an application of structural mean models

January 2022
Epidemiology

Joy Shi, Sonja A. Swanson, Peter Kraft, Bernard Rosner, Immaculata De Vivo, and Miguel A. Hernán

We describe instrumental variable analysis with a time-varying exposure, with an emphasis on the types of causal estimands that can be targeted, the assumptions required for identification, and the use of g-estimation of structural mean models to estimate these effects.

Effects of maternal vitamin D supplementation during pregnancy and lactation on infant acute respiratory infections: follow-up of a randomized trial in Bangladesh

July 2021
Journal of the Pediatric Infectious Diseases Society

Shaun K. Morris, Lisa G. Pell, Mohammed Ziaur Rahman, Abdullah Al Mahmud, Joy Shi, Tahmeed Ahmed, Michelle C. Dimitris, Jonathan B. Gubbay, M. Munirul Islam, Tahmid Kashem, Farhana K. Keya, Minhazul Mohsin, Eleanor Pullenayegum, Michelle Science, Shaila S. Shanta, Mariya K. Sumiya, Stanley Zlotkin, and Daniel E. Roth

The Maternal Vitamin D Supplementation During Pregnancy and Lactation to Prevent Acute Respiratory Infections (MDARI) study, which assessed the effect of maternal vitamin D supplementation during pregnancy and lactation on risk of acute respiratory infection (ARI) among infants up to 6 months of age.

The effect of maternal multiple micronutrient supplementation on female early infant mortality is fully mediated by increased gestation duration and intrauterine growth

February 2020
The Journal of Nutrition

Mary K. Quinn, Emily R. Smith, Paige L. Williams, Willy Urassa, Joy Shi, Gernard Msamanga, Wafaie W. Fawzi, Christopher R. Sudfeld

We assess the extent to which the effect of maternal micronutrient supplementation (MMS) in pregnancy on infant mortality is mediated by birth weight, gestation age and weight-for-gestational age.