Identification of predictors of ANC visits using logistic regression. by Md. A. Salam (22386223)

Subjects:

Predictor performance stratified by cohort and race. by Raphael A. G. Sherak (18576277)

Predictors of IPV among mothers. by Sawsan Abuhammad (9657340)

“…The mean of quality of life is 86.0 [SD = 13.1) and the mean of violence is 11.9 [SD = 3.01). There was a significant negative relationship between violence and quality of life (r² = .224, p = .001). …”

Tissue, days post-infection (dpi) and the top 10 most significant genes with increased and decreased expression with valid gene symbols for the response contrasts. by Gillian P. McHugo (8965919)

Spatial distribution of municipality-level winter wheat yields used in this study. by Keach Murakami (11576825)

Subjects:

Predictors used in the modelling analysis. The ‘Snail count’ model refers to the Generalised Linear Mixed Model (GLMM) used to model snail counts, ‘Prevalence’ refers to the diseas... by Roland Proud (11764892)

Food safety KAP predictors using logistic regression analysis. by Tasneem M. Al-Jaberi (16510385)

Sample characteristics using MICS 2012 and 2019. by Satyajit Kundu (9078709)

“…Mixed-effect logistic regression analysis was adopted to identify the predictors of childhood stunting, and multivariate decomposition analysis was used to examine the factors contributing to the changes in childhood stunting over time. …”

Estimated prevalence (A), DALYs (B), and mortality (C) rates of IBD in different age subgroups of WCBA by 2040. by Jiefeng Zhao (9090305)

Subjects:

All significant predictors of mutational SBS signatures (permutation <i>P</i> < 0.001). by Oliver Ocsenas (13229013)

Predictors of fear of falling. by Manal Badrasawi (12490311)

Using Deep Learning to Fill Data Gaps in Environmental Footprint Accounting by Bu Zhao (9204038)

“…For long-term prediction (5 years), the improvements are even more significant where the <i>R</i>² is improved from 0.5271 to 0.7893 and median average percentage error is decreased from 51.12% to 18.26%. …”

Logistic regression models using the Kendall -<i>τ</i> coefficients as predictors. by Lucinda Khalil (20613867)

Table 2 - by Rosanna Mary Rooney (17595801)

“…</p><p>Conclusion</p><p>Anticipated findings suggest that current research has extensively examined factors across all levels of the socioecological model, from individual to community levels, revealing a predominant focus on individual-level predictors such as substance use, prior criminal history, and moral development. …”

Predictors of correct classification using the parent report of child weight with the Likert scale. by Tanna Woods (11418870)

Subjects:

Deletion of <i>Trgal11</i> resulted in a significant decrease in the transcription of cellobiohydrolase and endoglucanase but not β-glucosidase genes. by Fanglin Zheng (4844064)

IRI group exhibited a significantly greater decrease in proportion of gambles accepted compared to the IRI group in the second block. by Yasuhiro Mochizuki (3308349)

LMQ-3 and EQ-5D-5L domain scores with significant demographic factors. by Won Sun Chen (8849939)

Subjects:

Cell proliferation was significantly decreased in full-length HPV16 E1 (pEGFP-E1) transfected cells. by Fern Baedyananda (11888703)

Data used for the Study. by Alex Bawuah (21702688)

Subjects: