Results 161 to 170 of about 1,015,610 (277)

Hi-C3: a statistical inference-based model for reconstructing higher-order cell-cell communication networks. [PDF]

Brief Bioinform
Tong Y, Hong R, Li M, Yang N, Deng W, Tang H, Zeng T, Liu R.   +7 more
europepmc   +1 more source

New Onset of Fibromyalgia After Exposure to a Combat Environment: A Longitudinal Cohort Study

Arthritis Care &Research, EarlyView.
Objective Traumatic life events are hypothesized to be triggers for the onset of fibromyalgia. Posttraumatic stress disorder (PTSD) is a common comorbidity of fibromyalgia. However, limited prospective data are available on the development of fibromyalgia after exposure to high‐magnitude stress.
Jay B. Higgs, Willie J. Hale, Casey L. Straud, Jim Mintz, Stacey Young‐McCaughan, Kimberly D. Gomes, Chelsea J. Sterne, Katrina M. Lawrence‐Wolff, Alan J. Bartholomew, Kevin M. Kelly, Douglas M. Maurer, Catherine Vriend, Brett T. Litz, Douglas E. Williamson, Alan L. Peterson, for the STRONG STAR Consortium   +15 more
wiley   +1 more source

Statistical inference for same data meta-analysis in neuroimaging multiverse analyzes. [PDF]

Imaging Neurosci (Camb)
Lefort-Besnard J, Nichols TE, Maumet C.
europepmc   +1 more source

The Use of Statistical Inference in the Water Supply Network Managing Operation Process

, 2019
Izabela Piegdoń
openalex   +1 more source

Immune Checkpoint Inhibitor–Related Myositis and Associated Triad Overlap Syndrome

Arthritis Care &Research, EarlyView.
Objective Immune checkpoint inhibitor (ICI) myositis is a rare but a highly morbid condition, particularly with the ICI myositis triad syndrome of myositis, myocarditis, and myasthenia gravis. We report the clinical characteristics of ICI myositis and all‐cause mortality in these patients.
Selene Rubino, Grant W. Cannon, Brian C. Sauer, Jorge Rojas, Gregory J. Stoddard, Gary A. Kunkel, Jessica A. Walsh, Bryant R. England, Joshua F. Baker, Tawnie J. Braaten   +9 more
wiley   +1 more source

Test Statistics and Statistical Inference for Data With Informative Cluster Sizes. [PDF]

Biom J
Kim S, Martens MJ, Ahn KW.
europepmc   +1 more source

Identifying responders versus non‐responders: Incorporation of controls is required for sound statistical inference

, 2020
Jaume Padilla, Emily Leary, Jacqueline K. Limberg   +2 more
openalex   +2 more sources

Prevalence of Systemic Lupus Erythematosus in Australia, 2010–2022: A Population‐Based Study Using Linked National Administrative Health Data

Arthritis Care &Research, Accepted Article.
Objectives Systemic lupus erythematosus (SLE) is a heterogenous inflammatory condition, with widely varying global prevalence estimates. Frequency of SLE in the general population of Australia has been reported to be notably lower than contemporary estimates in countries such as the US or UK at 19‐39 per 100,000 as opposed to 65‐97 per 100,000.
Lucinda Roper, Rachel Black, Joanna Tieu, Winnie Chen, Matthew Parker, Catherine Hill, Natasha Nassar, Mandana Nikpour   +7 more
wiley   +1 more source

Statistical inference for heterogeneous treatment effect with right-censored data from synthesizing randomized clinical trials and real-world data. [PDF]

Biometrics
Mao G, Yang S, Wang X.
europepmc   +1 more source

Developing and Evaluating a Laboratory‐Based Frailty Index (FI‐Lab) for the Prediction of Long‐Term Health Outcomes in Systemic Lupus Erythematosus

Arthritis Care &Research, Accepted Article.
Objective We aimed to construct and evaluate the first laboratory‐based frailty index (FI‐Lab) for predicting adverse outcomes in systemic lupus erythematosus (SLE) and to compare its predictive ability to that of an existing clinical frailty index (FI).
Grace Burns, Samuel D. Searle, Alexandra Legge   +2 more
wiley   +1 more source