Wage premium in Singapore. by Tan, Ruo Hui., Tan, Yan Yu., Lee, Wai Meng.

“…The most commonly used market data has been in the labour market. By regressing wages with the risk of death associated with the respective occupations, the wage premium could be estimated. …”
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Maternal Death Surveillance and Response in Sudan: an evidence-based, context-specific optimisation to improve maternal care by Altijani Osman Abbakar, N

“…A comprehensive systematic review of published and grey literature was carried out where a qualitative narrative was reported; a trend analysis using three consecutive Sudan household surveys [SHHS] with multivariable logistic regression used for analysis; an ecological study that used non-parametric rank correlation measures to investigate the relationship between health and other indicators with MMR using state-level indicators; and a qualitative study using semi-structured interviews with 54 maternal health providers and other officials and analysed using thematic content analysis.…”

Prevalence of West Nile virus in domesticated mammals (cattle, goat, horse and pig) in selected areas of Peninsular Malaysia by Mohammed, Mohammed Nma

“…Phylogenetic analysis was done with BEAST2 with the Bayesian MCMC method, and statistical analyses were done using Chi-square (Fisher’s exact test) and logistic regression in IBM SPSS 28. In total, 140 samples were positive for WNV IgG. …”
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Distribution and risk factors of canine heart diseases and survey for owners treatment intention by Noordin, Norhidayah

“…Records of all dogs presented to the University Veterinary Hospital (UVH) between July 2013 and July 2020 were retrospectively analysed through logistic regression. The distribution of canine heart disease patients in this population is (n=734, 7.9%). …”
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Effect of educational intervention on the intention to provide family-centered care among selected hospitals’ paediatric nurses in Tehran, Iran by Rostami, Forouzan

“…The multiple linear regression models showed that changes in attitude, subjective norms, and perceived behaviour control scores were the predictors of the change in intention towards FCC. …”
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Predictors and outcomes of healthcare-associated infections caused by carbapenem-nonsusceptible enterobacterales: a parallel matched case-control study by Hoo, Grace S. R., Cai, Yiying, Quek, Yan Ching, Teo, Jocelyn Q., Choudhury, Saugata, Koh, Tse Hsien, Lim, Tze Peng, Marimuthu, Kalisvar, Ng, Oon Tek, Kwa, Andrea L.

“…Outcomes of CnSE-HAI and CSE-HAI patients were compared using multivariable logistic and cox regression; the models were adjusted for infection and treatment characteristics. …”
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The prospective associations of 24-hour movement behaviors and domain-specific activities with executive function and academic achievement among school-aged children in Singapore by Padmapriya, Natarajan, Bernard, Jonathan Y., Tan, Sarah Yi Xuan, Chu, Anne H. Y., Goh, Claire Marie Jie Lin, Tan, Shuen Lin, Shek, Lynette P., Chong, Yap Seng, Tan, Kok Hian, Chan, Shiao-Yng, Yap, Fabian, Godfrey, Keith M., Lee, Yung Seng, Meaney, Michael J., Eriksson, Johan G., Tan, Chuen Seng, Law, Evelyn C., Müller-Riemenschneider, Falk

“…Compositional data analyses were conducted to explore the associations of 24 h-movement behavior with outcomes, and multiple linear regression models to examine the associations of domain-specific PA and SB with outcomes (n = 432). …”
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Evaluating the socio-environmental impacts of monoculture cashew expansion in the Northern Western Ghats, India by Anushka Rege

“…I also compared the performances of the algorithms Random Forest, Classification And Regression Tree and Support Vector Machine. The mapping exercise showed that the Random Forest algorithm using both optical and radar datasets was best suited to detect and map cashew plantations. …”
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Neural abstractive summarization: improvements at the sequence-level by Ravaut, Mathieu

“…Third, teacher forcing differs a lot from the inference setup in which auto-regressive decoding is performed, which may lead to error propagation. …”
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Extreme learning machines for feature learning by Liyanaarachchi Lekamalage, Chamara Kasun

“…ELM has been successfully used in regression and classification problems but not in feature learning. …”
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Cell-free hemoglobin mediated oxidative stress is associated with acute kidney injury and renal replacement therapy in severe falciparum malaria: an observational study by Plewes, Katherine, Kingston, Hugh W.F., Ghose, Aniruddha, Maude, Richard J., Herdman, M. Trent, Leopold, Stije J., Ishioka, Haruhiko, Hasan, Md. Mahtab Uddin, Haider, Md. Shafiul, Alam, Shamsul, Piera, Kim A., Charunwatthana, Prakaykaew, Silamut, Kamolrat, Yeo, Tsin Wen, Faiz, Md. Abul, Lee, Sue J., Mukaka, Mavuto, Turner, Gareth D. H., Anstey, Nicholas M., Jackson Roberts II, L., White, Nicholas J., Day, Nicholas P. J., Hossain, Md. Amir, Dondorp, Arjen M.

“…Multivariable logistic regression showed that admission F2-IsoPs, IsoFs and red cell deformability were associated with the need for subsequent hemodialysis. …”
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Precipitation trend analysis for The Langat River Basin, Selangor, Malaysia by Palizdan, Narges

“…On an at site scale the rainfall trends were detected using the Mann-Kendall (MK) test, the Sen’s Slope Estimator and the Linear Regression analysis for the period 1928-2011. The lag-1 approach was utilized at the 95% significance level to test the serial correlation of the data series. …”
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Normative modeling of brain morphometry in clinical high risk for psychosis by Haas, Shalaila S., Ge, Ruiyang, Agartz, Ingrid, Amminger, G. Paul, Andreassen, Ole A., Bachman, Peter, Baeza, Inmaculada, Choi, Sunah, Colibazzi, Tiziano, Cropley, Vanessa L., de la Fuente-Sandoval, Camilo, Ebdrup, Bjørn H., Fortea, Adriana, Fusar-Poli, Paolo, Glenthøj, Birte Yding, Glenthøj, Louise Birkedal, Haut, Kristen M., Hayes, Rebecca A., Heekeren, Karsten, Hooker, Christine I., Hwang, Wu Jeong, Jahanshad, Neda, Kaess, Michael, Kasai, Kiyoto, Katagiri, Naoyuki, Kim, Minah, Kindler, Jochen, Koike, Shinsuke, Kristensen, Tina D., Kwon, Jun Soo, Lawrie, Stephen M., Lebedeva, Irina, Lee, Jimmy, Lemmers-Jansen, Imke L. J., Lin, Ashleigh, Ma, Xiaoqian, Mathalon, Daniel H., McGuire, Philip, Michel, Chantal, Mizrahi, Romina, Mizuno, Masafumi, Møller, Paul, Mora-Durán, Ricardo, Nelson, Barnaby, Nemoto, Takahiro, Nordentoft, Merete, Nordholm, Dorte, Omelchenko, Maria A., Pantelis, Christos, Pariente, Jose C., Raghava, Jayachandra M., Reyes-Madrigal, Francisco, Røssberg, Jan I., Rössler, Wulf, Salisbury, Dean F., Sasabayashi, Daiki, Schall, Ulrich, Smigielski, Lukasz, Sugranyes, Gisela, Suzuki, Michio, Takahashi, Tsutomu, Tamnes, Christian K., Theodoridou, Anastasia, Thomopoulos, Sophia I., Thompson, Paul M., Tomyshev, Alexander S., Uhlhaas, Peter J., Værnes, Tor G., van Amelsvoort, Therese A. M. J., van Erp, Theo G. M., Waltz, James A., Wenneberg, Christina, Westlye, Lars T., Wood, Stephen J., Zhou, Juan H., Hernaus, Dennis, Jalbrzikowski, Maria, Kahn, René S., Corcoran, Cheryl M., Frangou, Sophia

“…Average deviation scores (ADS) were also calculated for regional CT, SA, and SV measures and globally across all measures. Regression analyses quantified the association of deviation scores with clinical severity and cognition, and 2-proportion z tests identified case-control differences in the proportion of individuals with infranormal (z < -1.96) or supranormal (z > 1.96) scores. …”
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Unsupervised bayesian generative methods by Li, Shaohua

“…This problem is approached by eigendecomposition on a submatrix, followed by online blockwise regression, which is scalable and avoids the information loss in Singular Value Decomposition (SVD). …”
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Studies on the assessment of abdominal aortic aneurysm rupture risk by Canchi, Tejas

“…Machine learning algorithms (MLA) as a possible approach to hasten the diagnostic process was explored using multiple classifiers such as decision trees, support vector machines (SVM), Naïve Bayes and logistic regression. The most suitable classifier analyzing a cohort of 312 patients (155 AAA and 157 normal) with geometric and patient antecedent attributes, was determined as the Naïve Bayes algorithm. …”
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Uncertainty quantification framework for combined statistical spatial downscaling and temporal disaggregation for climate change impact studies on hydrology by Rajendran Queen Suraajini

“…The classical SDM has three steps such as 1) precipitation occurrence determination 2) precipitation amount estimation and 3) residual fitting. The contemporary regression based SDM assumes different distribution for precipitation amount estimation and residual fitting. …”
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Investigations into femtosecond laser hybrid manufacturing for 3D power sources by Tham, Nicholas Cheng Yang

“…A thermally localised laser graphitisation (LLG) regime can then be identified to achieve in-situ PG integration. …”
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