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1
Small sample sizes reduce the replicability of task-based fMRI studies
Published 2020“…We find that the degree of replicability for typical sample sizes is modest and that sample sizes much larger than typical (e.g., N = 100) produce results that fall well short of perfectly replicable. …”
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Journal Article -
2
Inference for autoregressive and moving average models with extreme value distribution via simulation study
Published 2015“…To achieve our objectives, a stationary autoregressive and moving average models with Gumbel distributed innovation is proposed and we characterise the short-term dependence among maxima, arising from light-tailed Gumbel distribution over a range of sample sizes with varying degrees of dependence. …”
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Thesis -
3
Environmental risk factors for self-harm during imprisonment: A pilot prospective cohort study
Published 2025Journal article -
4
Environmental risk factors for self-harm during imprisonment: a prospective cohort study
Published 2024Internet publication -
5
新加坡华语句末语气词 :在语料库基础上与普通话的对比统计 = Statistical comparison of Singaporean and Mainland Mandarin Chinese : a corpus-based study on sentence final particles...
Published 2014“…Han et al. 2013; Appre 2008). The statistical results suggest that some variables serve as a differentiating factor among the five SFPs (either in SMC or in MMC). …”
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Final Year Project (FYP) -
6
Quality of life (QOL) among chronic kidney disease (CKD) patients in Hospital Universiti Sains Malaysia (HUSM)
Published 2023“…They were selected through a nonprobability convenience sampling method. Data collected were statistically analyzed using Statistical Package Social Science (SPSS) software version of 26. …”
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Monograph -
7
Comparison of current and former sport event volunteers motivation in Singapore
Published 2019“…An online questionnaire was administered to a sample of current and former volunteers who were reached via convenience and snowball sampling. …”
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Final Year Project (FYP) -
8
Estimating evolutionary and demographic parameters via ARG-derived IBD
Published 2025“…By exploiting efficient data encoding based on the ancestral recombination graph (ARG), we obtain three major advantages over current approaches: (i) no need to impose a length threshold on IBD segments, (ii) IBD can be defined without the hard-to-verify requirement of no recombination, and (iii) computation time can be reduced with little loss of statistical efficiency using only the IBD segments from a set of sequence pairs that scales linearly with sample size. …”
Journal article -
9
Essays on oil price fluctuations, financial markets and international trade
Published 2014“…Oil price shocks appear to have a statistically significant and positive impact on real gold returns contemporaneously. …”
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Thesis -
10
Towards understanding genome regulation via high-resolution analysis of chromatin accessibility
Published 2023“…Avocato employs a simple but useful fragment size filtering strategy, retaining only short fragments from high-quality scATAC-seq data, which successfully prioritises functional SNP variants hidden in the raw signals. …”
Thesis -
11
Chronic neuropsychiatric sequelae of SARS-CoV-2: protocol and methods from the Alzheimer's Association Global Consortium
Published 2022“…<br><br> • The Consortium proposes a combination of design and statistical methods as a means of approaching causal inference of the COVID-19 neuropsychiatric sequelae. …”
Journal article -
12
Evidence for cross-protection against subsequent febrile respiratory illness episodes from prior infections by different viruses among Singapore military recruits 2009-2014
Published 2021“…ResPlex II assays and real-time polymerase chain reaction assays were used to detect viral pathogens in nasal wash samples, and survival analyses were performed to determine whether infection with particular viruses conferred short-lived relative cross-protection against FRI. …”
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Journal Article -
13
Measuring dynamical uncertainty with Revealed Dynamics Markov Models
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Journal Article -
14
Bayesian neural network language modeling for speech recognition
Published 2023“…State-of-the-art neural network language models (NNLMs) represented by long short term memory recurrent neural networks (LSTM-RNNs) and Transformers are becoming highly complex. …”
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Journal Article