Results 281 to 290 of about 1,294,751 (338)

Dissecting the causal effects of smoking, alcohol consumption, and related DNA methylation markers on electrocardiographic indices. [PDF]

Clin Epigenetics
Zheng Z, Song Y, Li X, Luo T, Tan X.
europepmc   +1 more source

Low morphology does not lower success after intrauterine insemination unless inseminating motile sperm count is low. [PDF]

PLoS One
Burks H, Peck JD, Hansen KR, Stoner J, Craig LB.   +4 more
europepmc   +1 more source

Nocturia as a clinical marker of loss of function and resilience or risk factor for frailty in older adults? Results of the Berlin Aging Study II. [PDF]

Geroscience
König M, Malsch C, Mariño J, Vetter VM, Komleva Y, Demuth I, Steinhagen-Thiessen E.   +6 more
europepmc   +1 more source

Comparison of machine learning and validation methods for high-dimensional accelerometer data to detect foot lesions in dairy cattle. [PDF]

PLoS One
Riaz MU, O'Grady L, McAloon CG, Logan F, Gormley IC.   +4 more
europepmc   +1 more source

Establishing reference values for age-related fecal calprotectin in healthy children aged 0-4 years: a systematic review and meta-analysis. [PDF]

PeerJ
Zeng J, Yu W, Gao X, Yu Y, Zhou Y, Pan X.   +5 more
europepmc   +1 more source

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Robust generalized confidence intervals

Communications in Statistics - Simulation and Computation, 2016
ABSTRACTMost interval estimates are derived from computable conditional distributions conditional on the data.
Shifeng Xiong, Weiyan Mu
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Robust Confidence Intervals for the Bernoulli Parameter [PDF]

Communications in Statistics - Theory and Methods, 2009
Despite the simplicity of the Bernoulli process, developing good confidence interval procedures for its parameter—the probability of success p—is deceptively difficult. The binary data yield a discrete number of successes from a discrete number of trials, n.
Sin-Long Liu, Wheyming Tina Song, Chia-Jung Chang   +2 more
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Model robust confidence intervals

Journal of Statistical Planning and Inference, 1982
Abstract Confidence intervals are constructed for real-valued parameter estimation in a general regression model with normal errors. When the error variance is known these intervals are optimal (in the sense of minimizing length subject to guaranteed probability of coverage) among all intervals estimates which are centered at a linear estimate of the
J. Sacks, J. Sacks, George Knafl, Donald Ylvisaker   +3 more
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Robust Confidence Intervals for Regression Parameters

Australian & New Zealand Journal of Statistics, 1998
The paper considers the problem of finding accurate small sample confidence intervals for regression parameters. Its approach is to construct conditional intervals with good robustness characteristics. This robustness is obtained by the choice of the density under which the conditional interval is computed.
Chris Field, Alan H. Welsh
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A note on exact robust confidence intervals for location

Biometrika, 1979
SUMMARY The use of a simple permutation argument to set exact confidence limits for the location parameter of a symmetric distribution is described. The argument is applied to estimates based on original observations and on ranks and to M-estimates. Some key word8: Exact confidence limit; Location estimate; M-estimate; Ranks; Robustness.
J. Maritz
openaire   +3 more sources