Publications

Methodological Papers: selected

  • Saffari SE, Soo SA, Mohammadi R, Ng KP, Greene W, Kandiah N. Modelling the Distribution of Cognitive Outcomes for Early Stage Neurocognitive Disorders: A Model Comparison Approach. Biomedicines; 2024, 12(2), 393; https://doi.org/10.3390/biomedicines12020393
  • Tan YL, Saffari SE, Tan NCK. A framework for evaluating predictive models. Journal of Clinical Epidemiology; 2022; 150:188-190. org/10.1016/j.jclinepi.2022.08.005
  • Saffari SE, Volovici V, Ong MEH, Goldstein BA, Vaughan R, Dammers R, Steyerberg EW, Liu N. Proper Use of Multiple Imputation and Dealing with Missing Covariate Data. World Neurosurgery; 2022: 161, 284-290. doi.org/10.1016/j.wneu.2021.10.090
  • Orooji A, Sahranavard T, Shakeri M-T, Tajfard M, Saffari SE. Application of the Truncated Zero-Inflated Double Poisson for Determining of the Effecting Factors on the Number of Coronary Artery Stenosis. Computational and Mathematical Methods in Medicine. 2022; 2022:5353539.
  • Saffari SE, Allen JC. Bivariate negative binomial regression model with excess zeros and right censoring: an application to Indonesian data. Journal of Applied Statistics. 2019; 47(10):10.1080/02664763.2019.1695761.
  • Saffari SE, et al. Frequency of Visiting a Doctor: A right Truncated Count Regression Model with Excess Zeros. Biostatistics and Biometrics Open Access Journal. 2019; 9(5):DOI: 10.19080/BBOAJ.2019.09.555773
  • Shakeri MT, Saffari SE, Dadpour B, Aghajani H, Hadianfar A, Afshari R. Geospatial Analysis of Acute Poisonings at Mashhad, Iran in 2013. Asia Pacific Journal of Medical Toxicology. 2019; 8(3): 83-89. doi.org/10.22038/apjmt.2019.13825
  • Saffari SE, Adnan R, Hashemi Fard M, Marchi VAA, Louzada F, Allen JC, Hashemi Fard A, Greene W. Modeling doctor visits using a right-censored zero-inflated Conway–Maxwell Poisson regression. Communications in Statistics: Case Studies, Data Analysis and Applications, 2018; 4(2): 96-107.
  • Bazzazzadeh V, Doosti H, Boskabadi H, Saffari SE, Peyman N, Chesneau Ch. Modeling the Infant’s Age at Hospital Admission in Neonatal with Jaundice at the Ghaem Mashhad Hospital Using Count Models with Excess Zeros. Biostatistics and Biometrics Open Access Journal, 2017; 3(4): 555-620, DOI: 19080/BBOAJ.2017.03.555620.
  • Saffari SE, HashemiFard A. Sample Size Determination for Binary Data in two Independent Groups of Clinical Studies. Razi Journal of Medical Sciences. 2016; 23(145): pp 52-61.
  • Saffari SE, Löve A, Fredrikson M, Smedby Ö. Regression models for analyzing radiological visual grading studies – an empirical comparison. BMC Medical Imaging. 2015; 15(1): 1-10.
  • Thanoon TY, Adnan R, Saffari SE. Generalized nonlinear canonical correlation analysis with ordered categorical and dichotomous data. Jurnal Teknologi. 2015; 75(1): pp 91-99.
  • Rasheed BA, Adnan R, Saffari SE, Pati KD. Application of robust wild bootstrap estimation of linear model in econometric. International Journal of Applied Mathematics and Statistics. 2015; 53(1): pp 82-101.
  • Thanoon TY, Adnan R, Saffari SE. Study of the relationship between dependent and independent variable groups by using canonical correlation analysis with application. Journal of Modern Applied Science. 2015; 9(8): 72-80.
  • Rasheed BA, Adnan R, Saffari SE, Pati KD. Robust Weighted least squares estimation of regression parameter in the presence of outliers and heteroscedastic errors. Jurnal Teknology. 2014; 71(1): 11-18.
  • Jedi MA, Adnan R, Saffari SE. Doubtful outliers with robust regression of an m-estimator in cluster analysis. Matematka. 2014; 30(1a): pp 59-70.
  • Saffari SE, Xu X, Robiah A, HashemiFard A. On the hurdle negative binomial regression model with excess zeros for a right truncated count data. Journal of Mathematical Research and Applications. 2013; 1(1): pp 1-9.
  • Saffari SE, Robiah A, Greene W. Investigating the impact of excess zeros on hurdle-generalized Poisson regression model with right censored count data. Journal of Statistica Neerlandica. 2012; 67(1): 67-80. DOI:10.1111/j.1467-9574.2012.00532.x.
  • Saffari SE, Robiah A, Greene W. Hurdle negative binomial regression model with right censored count data. Journal of Statistics and Operations Research Transactions. 2012; 36(2): 181-194.
  • Saffari SE, Robiah A, Greene W. Parameter estimation on hurdle Poisson regression model with censored data. Jurnal Teknologi. 2012; 57(1): 189-198.
  • Saffari SE and Robiah A. Zero-inflated Poisson regression models with right censored count data. Matematika. 2011; 27(1): 21-29.
  • Saffari SE, Robiah A. Zero-inflated negative binomial regression model with right censoring count data. Journal of Materials Science and Engineering. 2011; B(1): 551-554.
  • Saffari SE, Robiah A. Parameter estimation on zero-inflated negative binomial regression with right truncated data. Journal of Sains Malaysiana. 2011; 41(11): 1483-1487.
  • Saffari SE, Robiah A, Greene W. Handling of over-dispersion of count data via truncation using Poisson Regression Model. Journal of Computer Science and Computational Mathematics. 2011; 1(1): 1-4.

Machine Learning/AI Papers: selected

  • Liu M, Li S, Yuan H, Ong MEH, Ning Y, Xie F, Saffari SE, Volovici V, Chakraborty B, Liu N. Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques. Artificial Intelligence in Medicine. 2023; doi.org/10.1016/j.artmed.2023.102587
  • Xie F, Ning Y, Liu M, Li S, Saffari SE, Yuan H, Volovici V, Ting DSW, Goldstein BA, Ong MEH, Vaughan R, Chakraborty B, Liu N. A universal AutoScore framework to develop interpretable scoring systems for predicting common types of clinical outcomes. STAR Protocols 2023; 14(2): 102587. https://doi.org/10.1016/j.xpro.2023.102302
  • Deng X, Ning Y, Saffari SE, et al. Identifying clinical features and blood biomarkers associated with mild cognitive impairment in Parkinson disease using machine learning. European Journal of Neurology. 2023; 30(6): 1658-1666. doi:10.1111/ene.15785
  • Saffari SE, Ning Y, Feng X, Chakraborty B, Volovici V, Vaughan R, Ong MEH, Liu N. AutoScore-Ordinal: An interpretable machine learning framework for generating scoring models for ordinal outcomes. BMC Medical Research Methodology. 2022; 22, 286. https://doi.org/10.1186/s12874-022-01770-y.
  • Liu N, Liu M, Chen X, Ning Y, Lee JW, Siddiqui FJ, Saffari SE, et al. Development and validation of an interpretable prehospital return of spontaneous circulation (P-ROSC) score for patients with out-of-hospital cardiac arrest using machine learning: A retrospective study. eClinicalMedicine; 2022: 48, 101422. doi.org/10.1016/j.eclinm.2022.101422
  • Yuan H, Xie F, Ong MEH, Ning Y, Chee ML, Saffari SE, Abdullah HR, Goldstein BA, Chakraborty B, Liu N. AutoScore-Imbalance: An Interpretable Machine Learning Tool for Development of Clinical Scores with Rare Events Data. Journal of Biomedical Informatics, 2022; 129: 104072. https://doi.org/10.1016/j.jbi.2022.104072

Neurology/Neuroscience/Neurosurgery: selected

  • Shareef MAH, Narasimhalu K, Saffari SE, Woon FP, Silva DAD. Recurrent vascular events partially explain association between diabetes and poor prognosis in young ischemic stroke patients. Journal of the Neurological Sciences. 2024; 457: 122881, https://doi.org/10.1016/j.jns.2024.122881.
  • Wan KR, Ng ZYV, Wee SK, Fatimah M, Lui W, Phua MW, So QYR, Maszczyk TK, Premchand B, Saffari SE, et al. Recovery of Volitional Motor Control and Overground Walking in Participants With Chronic Clinically Motor Complete Spinal Cord Injury: Restoration of Rehabilitative Function With Epidural Spinal Stimulation (RESTORES) Trial—A Preliminary Study. Journal of Neurotrauma. ahead of printhttp://doi.org/10.1089/neu.2023.0265
  • Zheng Y, Saffari SE, Low DCY, et al. Lobectomy versus gross total resection for glioblastoma multiforme: A systematic review and individual-participant data meta-analysis. Journal of Clinical Neuroscience. 2023; 115: 60-65. doi: https://doi.org/10.1016/j.jocn.2023.07.016
  • Leow YJ, Saffari SE, Chua EV, Mei NM, Baharudin NN, Wong F, Ng SC, Ng KP, Kandiah. Pre-stroke chronic cerebrovascular disease is a major determinant for response to structured cognitive rehabilitation following acute ischemic strokes. Alzheimer’s & Dementia; 2023, 19: e062996. doi.org/10.1002/alz.062996
  • Soo SA, Kumar D, Leow YJ, Koh CL, Saffari SE, Kandiah N. Usefulness of the Visual Cognitive Assessment Test in Detecting Mild Cognitive Impairment in the Community. Journal of Alzheimer’s Disease. 2023; 93 (2): 755 – 763. DOI: 10.3233/JAD-221301
  • Yeo T, Siew RWE, Gulam MY, et al. COVID-19 infection after SARS-CoV-2 mRNA vaccination in Multiple Sclerosis, AQP4-antibody NMOSD and MOGAD patients during the Omicron subvariant BA.1/2 wave in Singapore. Journal of Neurology. 2023; 270: 2817-2825. doi.org/10.1007/s00415-023-11692-4.
  • Kumar S, De Luca A, Leemans A, Saffari SE, Hartono S, Zailan FZ, Ng KP, Kandiah N. Corrigendum: Topology of diffusion changes in corpus callosum in Alzheimer’s disease: An exploratory case-control study. Frontiers in Neurology. 2023; 14: 1188454. doi: 10.3389/fneur.2023.1188454.
  • Deng X, Ning Y, Saffari SE, et al. Identifying clinical features and blood biomarkers associated with mild cognitive impairment in Parkinson disease using machine learning. European Journal of Neurology. 2023; 30(6): 1658-1666. doi:10.1111/ene.15785
  • Lee KS, Chari A, Gillespie CS, Gillespie CS, Saffari SE, et al. Endoscopic third ventriculostomy for shunt malfunction in the pediatric population: a systematic review, meta-analysis, and meta-regression analysis. Journal of Neurosurgery: Pediatrics. 2023; 31(5): 423–432. doi:10.3171/2023.1.PEDS22427
  • Tan, YJ, Siow I, Saffari SE, et al. Plasma Soluble ST2 Levels Are Higher in Neurodegenerative Disorders and Associated with Poorer Cognition. Journal of Alzheimer’s Disease. 2023; 92(2): 573-580. DOI: 10.3233/JAD-221072
  • Lee L, Vedicherla SV, Loh D, Saffari SE, et al. Characteristics and Postoperative Outcomes for High Cervical versus Subaxial Cervical Intradural Extramedullary Tumors: A Multicenter Study. World Neurosurgery. 2023;169:e181-e189. org/10.1016/j.wneu.2022.10.093
  • Saffari SE, Volovici V, Ong MEH, Goldstein BA, Vaughan R, Dammers R, Steyerberg EW, Liu N. Proper Use of Multiple Imputation and Dealing with Missing Covariate Data. World Neurosurgery; 2022: 161, 284-290. doi.org/10.1016/j.wneu.2021.10.090
  • Lee L, Vedicherla SV, Loh D, Saffari SE, et al. Characteristics and Post-Operative Outcomes for High Versus Subaxial Cervical Intradural Extramedullary Tumours: A Multicentre Study. World Neurosurgery. 2022; 169, e181-e189.
  • Lim JX, Liu SJ, Cheong TM, Saffari SE, et al. Closure intracranial pressure is an objective intraoperative determinant of the adequacy of surgical decompression in traumatic acute subdural haematoma: a multicentre observational study. Acta Neurochirurgica; 2022: 164, 2741–2750. https://doi.org/10.1007/s00701-022-05270-2
  • Deng X., Saffari SE, Liu N, et al. Biomarker characterization of clinical subtypes of Parkinson Disease. npj Parkinsons Dis. 2022; 8: 109. https://doi.org/10.1038/s41531-022-00375-y
  • Welton T, Tan YJ, Saffari SE, et al. Plasma Neurofilament Light Concentration Is Associated with Diffusion-Tensor MRI-Based Measures of Neurodegeneration in Early Parkinson’s Disease. Journal of Parkinson’s Disease. 2022; 12(7): 2135 – 2146. DOI: 10.3233/JPD-223414
  • Deng X, Saffari SE, et al. Blood Lipid Biomarkers in Early Parkinson’s Disease and Parkinson’s Disease with Mild Cognitive Impairment. Journal of Parkinson’s Disease, 2022; 12(6): 1937 – 1943 DOI: 10.3233/JPD-213135.
  • Chua SKK, Soh QY, Saffari SE, Tan EK. Prognosis of Guillain–Barré Syndrome Linked to COVID-19 Vaccination. Brain Sciences; 2022: 12(6), 711. doi.org/10.3390/brainsci12060711
  • Tan YJ, Saffari SE, et al. Longitudinal Study of SNCA Rep1 Polymorphism on Executive Function in Early Parkinson’s Disease. Journal of Parkinson’s Disease, 2022; 12(3): 865-870. DOI: 10.3233/JPD-213029.
  • Soh EML, Neo S, Saffari SE, et al. Longitudinal Healthcare Utilization and Costs in Parkinson’s Disease: Pre-Diagnosis to 9 Years After. Journal of Parkinson’s Disease, 2022; 12(3): 957-966. DOI: 10.3233/JPD-212982.
  • Lim ICZY, Saffari SE, Neo SA. A cross-sectional study of knowledge and practices in the management of patients with Parkinson’s disease amongst public practice-based general practitioners and geriatricians. BMC Health Services Research, 2022; 22, 91. https://doi.org/10.1186/s12913-022-07503-7
  • Lee JYS, Ng JH, Saffari SE, Tan EK. Parkinson’s disease and cancer: a systematic review and meta-analysis on the influence of lifestyle habits, genetic variants, and gender. Aging (Albany NY). 2022 Mar 5; 14(5):2148-2173. doi: 10.18632/aging.203932.
  • Soh EML, Neo S, Saffari SE, et al. Longitudinal Healthcare Utilization and Costs in Parkinson’s Disease: Pre-Diagnosis to 9 Years After. Journal of Parkinson’s Disease. 2022; 12(3):957-966. DOI: 10.3233/jpd-212982. PMID: 34974439.
  • Wong FCC, Saffari SE, Yatawara C, Ng KP, Kandiah N, for the Alzheimer’s Disease Neuroimaging I. Influence of White Matter Hyperintensities on Baseline and Longitudinal Amyloid-β in Cognitively Normal Individuals. Journal of Alzheimer’s Disease. 2021;84:91-101.
  • Vipin A, Satish V, Saffari SE et al. Dementia in Southeast Asia: influence of onset-type, education, and cerebrovascular disease. Alz Res Therapy; 2021: 13, 195. https://doi.org/10.1186/s13195-021-00936-y
  • Sia MW, Foo JN, Saffari SE, Wong ASY, Khor CC, Yuan JM, Tan EK, Koh WP, Tan LCS. Polygenic Risk Scores in a Prospective Parkinson’s Disease Cohort. Mov Disord; 2021: 36: 2936-2940. https://doi.org/10.1002/mds.28761
  • Koh PX, Ti J, Saffari SE, Lim ZYIC, Tu T. Hemisensory syndrome: Hyperacute symptom onset and age differentiates ischemic stroke from other aetiologies. BMC Neurology, 2021; 21: 179. https://doi.org/10.1186/s12883-021-02206-8
  • Siow I, Lee KS, Zhang JJY, Saffari SE, Ng A, Young B. Reply to Letter to Editor. Journal of Stroke and Cerebrovascular Diseases. 2021;30(10). https://doi.org/10.1016/j.jstrokecerebrovasdis.2021.105881
  • Siow I, Lee KS, Zhang JJY, Saffari SE, Ng A. Encephalitis as a neurological complication of COVID-19: A systematic review and meta-analysis of incidence, outcomes, and predictors. Eur J Neurol. 2021; 28: 3491– 3502. https://doi.org/10.1111/ene.14913
  • Lim JX, Vedicherla SV, Chan SKS, Primalani NK, Tan AJL, Saffari SE, Lee L. Decompressive craniectomy for internal carotid artery and middle carotid artery infarctions: a long-term comparative outcome study. Neurosurgical Focus, 2021; 51(1). https://doi.org/10.3171/2021.4.FOCUS21123
  • Siow I, Lee KS, Zhang JJY, Saffari SE, Ng A, Young B. Reply to Letter to Editor. J Stroke Cerebrovasc Dis. 2021 May 23:105881. doi: 10.1016/j.jstrokecerebrovasdis.2021.105881. Epub ahead of print. PMID: 34034932; PMCID: PMC8141905.
  • Ng SYE, Chia NSY, Abbas MM, Saffari SE, et al. Physical Activity Improves Anxiety and Apathy in Early Parkinson’s Disease: A Longitudinal Follow-Up Study. Frontiers in Neurology, 2021; 11:1908. doi.org/10.3389/fneur.2020.625897
  • Siow, I, Lee, KS, Zhang, JJY, Saffari, SE, Ng, A. Encephalitis as a neurological complication of COVID-19: A systematic review and meta-analysis of incidence, outcomes, and predictors. Eur J Neurol. 2021; 00: 1– 12. https://doi.org/10.1111/ene.14913
  • Soo SA, Ng KP, Wong F, Saffari SE, Yatawara C, Ismail Z, Kandiah N. The Association Between Diabetes Mellitus and Mild Behavioral Impairment Among Mild Cognitive Impairment: Findings from Singapore. Journal of Alzheimer’s Disease, 2021; 82(1): 411-420.
  • Xu Z, Anderson KN, Saffari, SE et al. Progression of sleep disturbances in Parkinson’s disease: a 5-year longitudinal study. J Neurol 268, 312–320 (2021). https://doi.org/10.1007/s00415-020-10140-x
  • Siow I, Lee KS, Zhang JJY, Saffari SE, Ng A, Young B. Stroke as a Neurological Complication of COVID-19: A Systematic Review and Meta-analysis of Incidence, Outcomes and Predictors. Journal of Stroke and Cerebrovascular Diseases, 2021, 30(3): 105549. doi.org/10.1016/j.jstrokecerebrovasdis.2020.105549.
  • Chua CY, Koh MRE, Chia NSY, Ng SYE, Saffari SE, et al. Subjective cognitive Complaints in early Parkinson’s disease patients with normal cognition are associated with affective symptoms. Parkinsonism & Related Disorders, 2021; 82, doi.org/10.1016/j.parkreldis.2020.11.013.
  • Kai RW,Qiu L, Saffari SE, et al. An open label randomized trial to assess the efficacy of tranexamic acid in reducing post-operative recurrence of chronic subdural haemorrhage. Journal of Clinical Neuroscience. 2020; 82A: 147-154.
  • Gosavi T, Koh J, Rosman M, Prasad K, Doshi K, Lim ES, Saffari SE, et al. (2020). Psychological impact of isolation due to COVID-19 among young and fit dormitory residents. Psychological Medicine, 1-2. doi:10.1017/S0033291720004274
  • Ng ASL, Tan YJ, Yong ACW, Saffari SE, et al. Utility of plasma Neurofilament light as a diagnostic and prognostic biomarker of the postural instability gait disorder motor subtype in early Parkinson’s disease. Molecular Neurodegeneration. 2020; 15(1):1-8.
  • Guevarra AC, NG SC, Saffari SE, et al. Age Moderates Associations of Hypertension, White Matter Hyperintensities, and Cognition. Journal of Alzheimer’s Disease. 2020; 75(4):1351-1360. doi: 10.3233/JAD-191260. PMID: 32417773.
  • Tu TM, Tan GZ, Saffari SE, et al. External Validation of Stroke Mimic Prediction Scales in the Emergency Department. BMC Neurology. 2020; 20(269). https://doi.org/10.1186/s12883-020-01846-6
  • Lin X, Khan IRA, Seet YHC, Lee HY, Saffari SE, Yu WY. Atypical radiological findings of primary central nervous system lymphoma. Neuroradiology. 2020; 62:765.
  • Ng ASL, Tan YJ, Zhao Y, Saffari SE, et al. SNCA Rep1 promoter variability influences cognition in Parkinson’s disease. Movement Disorders. 2019; 34(8):1232-1236.
  • Yan S, Wuan EKM, Peh ALH, Tay ATS, Ho SCW, Saffari SE, et. al. Impact of Experience-Based, Longitudinal Psychiatry Training on Family Medicine Residents’ Attitudes toward Depression and Psychiatry in Singapore: a Prospective Study. Academic Psychiatry, 2019; 43 (1): 6-12.