Estimation of mean trace length by setting scanlines in rectangular sampling window

2016 ◽  
Vol 84 ◽  
pp. 74-79 ◽  
Author(s):  
Qi Zhang ◽  
Qing Wang ◽  
Jianping Chen ◽  
Yanyan Li ◽  
Yunkai Ruan
Keyword(s):  
Trace Length ◽  
Sampling Window

Persistence to Biologic Therapy among Patients with Spondyloarthritis: An Observational Study using the OPAL Dataset

2021 ◽  
pp. jrheum.201551
Author(s):  
Hedley Griffiths ◽  
Tegan Smith ◽  
Christopher Mack ◽  
Jo Leadbetter ◽  
Belinda Butcher ◽  
...  
Keyword(s):  
Disease Activity ◽  
Treated Group ◽  
Treatment Persistence ◽  
Kaplan Meier ◽  
Time Period ◽  
Sampling Window ◽  
Biologic Dmard ◽  
Australian Cohort ◽  
Third Line Therapy ◽  
Third Line

Objective To describe the treatment response and persistence to biologic DMARD (bDMARD) therapy in patients with ankylosing spondylitis (AS) in a real-world Australian cohort. Methods This was a retrospective, non-interventional cohort study that extracted data for patients with AS from the Optimising Patient outcomes in Australian rheumatology (OPAL) dataset for the period Aug-2006 to Sep-2019. Patients were classified as either bDMARD initiators if they commenced a bDMARD during the sampling window, or bDMARD naïve if they did not. Results were summarised descriptively. Treatment persistence was calculated using Kaplan-Meier methods. Differences in treatment persistence were explored using log-rank tests. Results 5048 patients with AS were identified. 2597 patients initiated bDMARDs and 2451 remained bDMARD naïve throughout the study window. Treatment with first, second and third line bDMARDs significantly reduced disease activity. Median persistence on first line bDMARDs was 96 months (95% CI 85 to 109), declining to 19 months (95% CI 16 to 22) in second line, and 14 months (95% CI 11 to 18) in third line therapy. Median persistence was longest for the golimumab treated group in all lines of therapy and shortest for the etanercept group. Differences in persistence rates according to the time-period that bDMARDs were prescribed (pre-and post-2012) were also seen for etanercept and adalimumab. Conclusion In this cohort all bDMARDs effectively reduced disease activity. Patients remained on their first bDMARD longer than subsequent agents. Median persistence was longest for the golimumab treated group in all lines of therapy and shortest for the etanercept group.

scholarly journals Influence of grape genotype, ripening season, seed trace size, and culture date on in ovule embryo development and plant formation

Bragantia ◽  
1995 ◽  
Vol 54 (2) ◽  
pp. 237-249 ◽  
Author(s):  
Celso V. Pommer ◽  
David W. Ramming ◽  
Richard L. Emershad
Keyword(s):  
Embryo Development ◽  
Embryo Culture ◽  
Embryo Rescue ◽  
Great Influence ◽  
Embryo Viability ◽  
Mature Fruit ◽  
Trace Length ◽  
Culture Time ◽  
Seedless Grape ◽  
Reduced Rate

Eighteen seedless grape genotypes differing in ripening season (early, mid and late) and in seed trace size (small, medium and large) were harvested at 6, 10, 14, 18 and 22 weeks past bloom (wpb). Using embryo rescue techniques it was studied if embryo do abort as the fruit matures and what percent embryos remain viable at later stages. The size of seed trace was also investigated to determine its influence on embryo viability during maturation. It was found that genotype have great influence on embryo culture traits. Late maturing genotypes showed fewer rescued embryos, germinated embryos and transplantable plants than early and mid season ones. The best culture time for grape embryo rescue is 6 and 10 wpb. At these dates, the largest number of embryos, germinated embryos and transplantable plants were obtained. Genotypes with the largest ratio for seed trace weight/seed trace length (i.e., largest density) showed the greatest tendency to have the largest number of ovules with embryos, more germinated embryos and more transplantable plants. The study also showed that it is possible to recover plants from mature fruit harvested late, although at a much reduced rate.

Numerical Study on Influence of Joint Characters on Rock Mechanical Parameters

2011 ◽  
Vol 201-203 ◽  
pp. 2909-2912
Author(s):  
Yan Feng Feng ◽  
Tian Hong Yang ◽  
Hua Wei ◽  
Hua Guo Gao ◽  
Jiu Hong Wei
Keyword(s):  
Rock Mass ◽  
Compression Strength ◽  
Numerical Study ◽  
Process Analysis ◽  
Failure Process ◽  
Deformation Modulus ◽  
Rock Joints ◽  
Structured Surfaces ◽  
Trace Length ◽  
The Impact

Rock mass is the syntheses composed of kinds of structure and structured surfaces. The joint characters is influencing and controlling the rock mass strength, deformation characteristics and rock mass engineering instability failure in a great degree. Through using the RFPA2D software, which is a kind of material failure process analysis numerical methods based on finite element stress analysis and statistical damage theory, the uniaxial compression tests on numerical model are carried, the impact of the trace length of rock joints and the fault throws on rock mechanics parameters are studied. The results showed that with the gradual increase of trace length,compression strength decreased gradually and its rate of variation getting smaller and smaller, the deformation modulus decreased but the rate of variation larger and larger; with the fault throws increasing, the compression strength first increases and then decreases, when the fault throw is equal to the trace length, the deformation modulus is the largest. When the joint trace length is less than the fault throw, the rate of the deformation modulus is greater than that of trace length, but the deformation modulus was not of regular change.

LSTUR regression theory and the instability of the sample correlation coefficient between financial return indices

2020 ◽  
Author(s):  
Tim Ginker ◽  
Offer Lieberman
Keyword(s):  
Correlation Coefficient ◽  
Unit Root ◽  
Asymptotic Theory ◽  
Financial Return ◽  
Spurious Regression ◽  
Root Model ◽  
Sampling Window ◽  
Sample Correlation ◽  
Underlying Processes ◽  
Regression Theory

Summary It is well known that the sample correlation coefficient between many financial return indices exhibits substantial variation on any reasonable sampling window. This stylised fact contradicts a unit root model for the underlying processes in levels, as the statistic converges in probability to a constant under this modeling scheme. In this paper, we establish asymptotic theory for regression in local stochastic unit root (LSTUR) variables. An empirical application reveals that the new theory explains very well the instability, in both sign and scale, of the sample correlation coefficient between gold, oil, and stock return price indices. In addition, we establish spurious regression theory for LSTUR variables, which generalises the results known hitherto, as well as a theory for balanced regression in this setting.

A comprehensive dissimilarity method of modeling accuracy evaluation for discontinuity disc models based on the sampling window

2020 ◽  
Vol 119 ◽  
pp. 103381 ◽  
Author(s):  
Jiongchao Wang ◽  
Jun Zheng ◽  
Tiexin Liu ◽  
Jichao Guo ◽  
Qing Lü
Keyword(s):  
Accuracy Evaluation ◽  
Modeling Accuracy ◽  
Sampling Window
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