Patients with high baseline gut richness and diversity have significantly greater decreases in diversity over time. by Molly B. El Alam (10231830)

Coefficients of the reduced linear regression model without multicollinearity. by Dania AL-Najjar (11840857)

Subjects:

Flowchart of neural network and linear regression prediction model. by Dania AL-Najjar (11840857)

Subjects:

Coefficients of the reduced linear regression model without multicollinearity. by Dania AL-Najjar (11840857)

Subjects:

Repeated measures ANOVA on T2|T1 accuracy. by Leon C. Reteig (5713010)

Validation and predictive accuracy of the cerebrovascular model, by Hadi Esfandi (21387211)

“…This observation suggests that the myogenic response is potentially linearly potentiated with increasing WT; however, the decreased constriction ability of muscles in the sloped phase, is proven to be advantageous for the vasculature, as it prevents reduced blood flow in deeper layers at high ABNP values. …”

Estimated marginal means of the RMS per muscle, based on the linear mixed-effects model. by I. Moll (14227650)

Estimated marginal means of the MF per muscle, based on the linear mixed-effects model. by I. Moll (14227650)

Linear trends of weekly prescription rates of NVBP varieties. by Chenxuan Zhu (22622476)

Results of the M-K test in different seasons (significant level is 0.05). by Wang Runke (13256851)

Subjects: “…temperature estimation accuracy…”

Estimation of the coefficients of a generalised linear model of posttraumatic stress symptomatology. by Beatriz Arregui-Gallego (21553735)

Subjects:

Accuracy evaluation of landscape type interpretation. by Jie Zhang (64655)

Generalised linear mixed-effects model results for health variables. by Catherine Tulloch (14515521)

Multiple linear regressions of carbon storage fraction of different components. by Genzhu Wang (8449938)

The influence of training-time noise on classification accuracy and reliability by Eloy Geenjaar (21533195)

Neural Network Enables High Accuracy for Hepatitis B Surface Antigen Detection with a Plasmonic Platform by Weihong Sun (546823)

“…The strategy of utilizing neural networks to process output data can reduce the limit of detection (LOD) of the sensor and significantly improve the accuracy (from 93.1%–97.4% to 99%–99.6%). …”

Percent accuracy and mean reaction time across the TLDB task. by David Apreutesei (19429483)

The translation accuracy with regard to the beam size. by Hyojin Jeon (2111560)

Summary statistics from T1D and LADA linear models. by Margaret Sunitha Selvaraj (13994016)

Generalised linear mixed-effects model results for social wellbeing variables. by Catherine Tulloch (14515521)