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http://dx.doi.org/10.1038/s41467-024-48894-x | DOI Listing |
Nat Commun
June 2024
Institute of Photoelectronic Thin Film Devices and Technology, Solar Energy Research Center, Key Laboratory of Photoelectronic Thin Film Devices and Technology of Tianjin, Ministry of Education Engineering Research Center of Thin Film Photoelectronic Technology, Renewable Energy Conversion and Storage Center, Nankai University, 300350, Tianjin, China.
Sleep Med
February 2024
Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA, USA.
Stat Med
May 2023
Beijing International Center for Mathematical Research, Peking University, Beijing, China.
The ICH E9 (R1) addendum proposes five strategies to define estimands by addressing intercurrent events. However, mathematical forms of these targeted quantities are lacking, which might lead to discordance between statisticians who estimate these quantities and clinicians, drug sponsors, and regulators who interpret them. To improve the concordance, we provide a unified four-step procedure for constructing the mathematical estimands.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
January 2019
Philips Research North America, Cambridge, MA, 02141, USA.
Background: Congestive heart failure is one of the most common reasons those aged 65 and over are hospitalized in the United States, which has caused a considerable economic burden. The precise prediction of hospitalization caused by congestive heart failure in the near future could prevent possible hospitalization, optimize the medical resources, and better meet the healthcare needs of patients.
Methods: To fully utilize the monthly-updated claim feed data released by The Centers for Medicare and Medicaid Services (CMS), we present a dynamic random survival forest model adapted for periodically updated data to predict the risk of adverse events.
Gut Microbes
September 2016
a Centre de Recherche en Infectiologie, CHU de Québec-Université Laval, Québec , Canada.
Antibiotics profoundly affect the gut microbiome and modulate microbial communities. We recently observed that antimicrobial drugs also impact the abundance and distribution of antibiotic resistance genes. In this addendum, we reanalyze our ∼1 trillion nucleotide shotgun metagenomic dataset to quantify comprehensive genomic differences at the sequence level before and after antibiotic treatment.
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