Handling missing data in complex surveys: A case study of children’s functional disorders and their correlates by Mohyaldein Salih, Ali Satty, Henry Mwambi

“…This study underscores the necessity of applying robust statistical methods to complex survey data and provides evidence to guide inclusive policies and targeted interventions aimed at supporting vulnerable children and youth with disabilities.…”
Get full text

When a mean can be meaningless: evaluating mosquito infections with Plasmodium parasites by Prince Chigozirim Ubiaru, Lisa C. Ranford-Cartwright

“…Abstract Several malaria control measures aim to reduce infection levels in mosquitoes, and evaluation of these measures usually relies on experimental infections of mosquitoes or evaluation in field populations. Both require robust statistical tools to account for multiple variables and non-normal distributions of parasites in the vector host. …”
Get full text

Enhancing dosimetric precision in the treatment of cancerous tumors: Gamma Index validation and Monte Carlo simulations of 6 and 12 megavoltage photon beams from Varian Medical lin... by Ali H. D. Alshehri

“…By leveraging the MC method’s robust statistical capabilities, the precision of dose distributions in external radiotherapy is aimed to be enhanced. …”
Get full text

Introducing multiple factor analysis (MFA) as a diagnostic taxonomic tool complementing principal component analysis (PCA) by L. Lee Grismer

“…If more than one data type is used in a PCA, the output may be biased by the data type with the largest amount of variation or statistical variance. Also discussed is the necessity of using a non-parametric permutation of analysis of variance (PERMANOVA)—or a similar analysis—as a robust, statistically defensible method for assessing the significance of OTU plot positions as opposed to subjective visual interpretations.…”
Get full text

Exploring the links between functional activation and hallucination proneness by Abdullah M. Alotaibi, Manal H. Alosaimi, Razan S. Orfali, Mansour Alshanawani, Richard Bentall, Georg Meyer

“…While the study provides partial support for inhibition-based theories, the largely null results highlight the need for sensitive tasks, robust statistical controls, and broader populations to fully elucidate the neurobiological basis of hallucination proneness.…”
Get full text

Validation of Prognostic Circulating Cell-Free RNA Biomarkers <i>HPGD</i>, <i>PACS1</i>, and <i>TDP2</i> in Colorectal Cancer Through TaqMan qPCR and Correlation Analysis by Chau Ming Kan, Xiao Meng Pei, Simon Siu Man Ng, Wing Wa Leung, Yee Ni Wong, Hennie Yuk-Lin Cheng, William Chi Shing Cho, Hin Fung Tsang, Sze Chuen Cesar Wong

“…The methodology involved a robust statistical analysis to assess correlations between cfRNA levels and clinical parameters, including survival rates and recurrence incidences. …”
Get full text

State of India's Birds 2023: A framework to leverage semi‐structured citizen science for bird conservation by Ashwin Viswanathan, Karthik Thrikkadeeri, Pradeep Koulgi, Praveen J., Arpit Deomurari, Ashish Jha, Ashwin Warudkar, Kulbhushansingh Suryawanshi, M. D. Madhusudan, Monica Kaushik, Naman Goyal, Rajah Jayapal, Suhel Quader, Sutirtha Dutta, Tarun Menon, Vivek Ramachandran

“…An evaluation of the status of birds from semi‐structured data is therefore a difficult task that requires careful curation of data and the use of robust statistical methods to reduce errors and biases. …”
Get full text

Identification of SCAMP2 as a regulator of NOTCH signaling in cisplatin resistance through a novel prognostic model for bladder cancer by Longjun Cai, Shaoqi Zhang, Fangfang Zheng, Furong Ji, Jin Wang, Long Shi, Liu Chao, Xiangyu Wang, Jianjun Zhang, Zhiyong Chen

“…Despite numerous attempts to create effective prognostic models, their clinical applicability has often been limited.MethodsIn this study, we utilized a robust statistical approach, LASSO-COX regression analysis, to develop a novel prognostic model for bladder cancer based on cisplatin sensitivity-related genes (CSRGs). …”
Get full text

Diverging trends in the global burden of ischemic heart disease attributable to non-optimal temperatures: a historical analysis (1990–2021) and 2050 projections by Zehao Jin, Zehao Jin, Yuting Pang, Ziyang Huang, Jialin Liu, Xiaoyi Zhan, Kangwei Wang

“…Data uncertainty was quantified using Monte Carlo simulation methods, and the results were expressed as point estimates and their corresponding 95% uncertainty intervals (UI) to ensure robust statistical inference.ResultsIn 2021, high-temperature exposure contributed to 112,389 IHD deaths globally (95% UI: 17,052-256,434), reflecting a 345.0% increase compared to baseline levels in 1990. …”
Get full text