Results 221 to 230 of about 1,423,030 (279)
Volabolomic Fingerprinting for Post-Mortem Interval Estimation: A Novel Physiological Approach. [PDF]
Mazzatenta A +3 more
europepmc +1 more source
Sex Differences in Medication Discontinuation in Axial Spondyloarthritis
Objective We examined sex differences in medication discontinuation among patients with axial spondyloarthritis (axSpA) initiating tumor necrosis factor inhibitors (TNFi), interleukin‐17 inhibitors (IL‐17i), or JAK inhibitors (JAKi). Methods Using data from the Rheumatology Informatics System for Effectiveness (RISE) Registry (2003–2025), we assessed ...
Rachael Stovall +9 more
wiley +1 more source
Objective The purpose was to evaluate a biomarker score consisting of MUC5B rs35705950 promoter variant, plasma matrix metalloproteinase‐7 (MMP‐7), and serum anti–malondialdehyde‐acetaldehyde (anti‐MAA) antibody for rheumatoid arthritis (RA)–associated interstitial lung disease (ILD) risk stratification.
Kelsey Coziahr +16 more
wiley +1 more source
Postmortem interval estimation of time since death: impact of non-histone binding proteins, immunohistochemical, and histopathological changes in vivo. [PDF]
Albloshi AMK.
europepmc +1 more source
Confidence Interval Estimation for Cutting Tool Wear Prediction in Turning Using Bootstrap-Based Artificial Neural Networks. [PDF]
Colantonio L +3 more
europepmc +1 more source
Handheld hyperspectral imaging as a tool for the post-mortem interval estimation of human skeletal remains. [PDF]
Schmidt VM +11 more
europepmc +1 more source
Some of the next articles are maybe not open access.
SSRN Electronic Journal, 2010
This paper considers estimation of an unknown distribution parameter in situations where we believe that the parameter belongs to a finite interval. We propose for such situations an interval shrinkage approach which combines in a coherent way an unbiased conventional estimator and non-sample information about the range of plausible parameter values ...
Vasyl Golosnoy, Roman Liesenfeld
openaire +1 more source
This paper considers estimation of an unknown distribution parameter in situations where we believe that the parameter belongs to a finite interval. We propose for such situations an interval shrinkage approach which combines in a coherent way an unbiased conventional estimator and non-sample information about the range of plausible parameter values ...
Vasyl Golosnoy, Roman Liesenfeld
openaire +1 more source
2023
Abstract This chapter begins by pointing out that, while we don’t usually care much about model parameters that don’t have intrinsic scientific meaning, it is often important for us to quantify how much uncertainty we have about those that do. This leads to the more intricate inferential task of interval estimation.
openaire +1 more source
Abstract This chapter begins by pointing out that, while we don’t usually care much about model parameters that don’t have intrinsic scientific meaning, it is often important for us to quantify how much uncertainty we have about those that do. This leads to the more intricate inferential task of interval estimation.
openaire +1 more source

