Development and validation of claims-based algorithms for estimating gestational age of spontaneous abortion and termination.

Autor: Zhu Y; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA., Hernandez-Diaz S; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA., Bateman BT; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA, USA., Gray KJ; Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Washington Medical Center, Seattle, WA, United States., Alt EM; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.; Department of Biostatistics, University of North Carolina at Chapel Hill., Straub L; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA., Taylor LG; Division of Epidemiology, Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, United States Food and Drug Administration, Silver Spring, MD, USA., Ouellet-Hellstrom R; Division of Epidemiology, Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, United States Food and Drug Administration, Silver Spring, MD, USA., Ma Y; Division of Epidemiology, Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, United States Food and Drug Administration, Silver Spring, MD, USA., Qiang Y; Division of Epidemiology, Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, United States Food and Drug Administration, Silver Spring, MD, USA., Vine S; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA., Mogun H; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA., Hua W; Department of Biostatistics, University of North Carolina at Chapel Hill., Huybrechts KF; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.

Publikováno v: American journal of epidemiology [Am J Epidemiol] 2024 Sep 24. Date of Electronic Publication: 2024 Sep 24.

Rejoinder to the discussion on "LEAP: the latent exchangeability prior for borrowing information from historical data".

Autor: Alt EM; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27516, United States., Chang X; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27516, United States., Jiang X; Amgen, Inc., One Amgen Center Drive, Thousand Oaks, CA 91320, United States., Liu Q; Amgen, Inc., One Amgen Center Drive, Thousand Oaks, CA 91320, United States., Mo M; Amgen, Inc., One Amgen Center Drive, Thousand Oaks, CA 91320, United States., Xia HA; Amgen, Inc., One Amgen Center Drive, Thousand Oaks, CA 91320, United States., Ibrahim JG; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27516, United States.

Publikováno v: Biometrics [Biometrics] 2024 Jul 01; Vol. 80 (3).

Discussion of "Optimal test procedures for multiple hypotheses controlling the familywise expected loss" by Willi Maurer, Frank Bretz, and Xiaolei Xun.

Autor: LaVange LM; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA., Alt EM; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA., Ibrahim JG; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Publikováno v: Biometrics [Biometrics] 2023 Dec; Vol. 79 (4), pp. 2802-2805. Date of Electronic Publication: 2023 Jul 24.

The scale transformed power prior for use with historical data from a different outcome model.

Autor: Alt EM; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA., Nifong B; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA., Chen X; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA., Psioda MA; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA., Ibrahim JG; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Publikováno v: Statistics in medicine [Stat Med] 2023 Jan 15; Vol. 42 (1), pp. 1-14. Date of Electronic Publication: 2022 Nov 01.

A hierarchical prior for generalized linear models based on predictions for the mean response.

Autor: Alt EM; Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital and Harvard Medical School, 1620 Tremont St., Suite 3030, Boston, MA 02120, USA., Psioda MA; Department of Biostatistics, University of North Carolina, 135 Dauer Drive, Chapel Hill, NC 27599, USA., Ibrahim JG; Department of Biostatistics, University of North Carolina, 135 Dauer Drive, Chapel Hill, NC 27599, USA.

Publikováno v: Biostatistics (Oxford, England) [Biostatistics] 2022 Oct 14; Vol. 23 (4), pp. 1165-1181.