Displaying publications 1 - 20 of 2103 in total

Abstract:
Sort:
  1. Reidpath D, Allotey P, 166 signatories
    Science, 2020 May 15;368(6492):725.
    PMID: 32409468 DOI: 10.1126/science.abc2677
    Matched MeSH terms: Biomedical Research/economics*
  2. Bernhardt J, Lindley RI, Lalor E, Ellery F, Chamberlain J, Van Holsteyn J, et al.
    BMJ, 2015 Dec 11;351:h6432.
    PMID: 26658193 DOI: 10.1136/bmj.h6432
    OBJECTIVE: To report the number of participants needed to recruit per baby born to trial staff during AVERT, a large international trial on acute stroke, and to describe trial management consequences.

    DESIGN: Retrospective observational analysis.

    SETTING: 56 acute stroke hospitals in eight countries.

    PARTICIPANTS: 1074 trial physiotherapists, nurses, and other clinicians.

    OUTCOME MEASURES: Number of babies born during trial recruitment per trial participant recruited.

    RESULTS: With 198 site recruitment years and 2104 patients recruited during AVERT, 120 babies were born to trial staff. Births led to an estimated 10% loss in time to achieve recruitment. Parental leave was linked to six trial site closures. The number of participants needed to recruit per baby born was 17.5 (95% confidence interval 14.7 to 21.0); additional trial costs associated with each birth were estimated at 5736 Australian dollars on average.

    CONCLUSION: The staff absences registered in AVERT owing to parental leave led to delayed trial recruitment and increased costs, and should be considered by trial investigators when planning research and estimating budgets. However, the celebration of new life became a highlight of the annual AVERT collaborators' meetings and helped maintain a cohesive collaborative group.

    TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry no 12606000185561.

    DISCLAIMER: Participation in a rehabilitation trial does not guarantee successful reproductive activity.

    Matched MeSH terms: Research Personnel/statistics & numerical data*
  3. Bernhardt J, Raffelt A, Churilov L, Lindley RI, Speare S, Ancliffe J, et al.
    BMJ Open, 2015 Aug 17;5(8):e008378.
    PMID: 26283667 DOI: 10.1136/bmjopen-2015-008378
    OBJECTIVE: The purpose of this paper is to examine potential threats to generalisability of the results of a multicentre randomised controlled trial using data from A Very Early Rehabilitation Trial (AVERT).

    DESIGN: AVERT is a prospective, parallel group, assessor-blinded randomised clinical trial. This paper presents data assessing the generalisability of AVERT.

    SETTING: Acute stroke units at 44 hospitals in 8 countries.

    PARTICIPANTS: The first 20,000 patients screened for AVERT, of whom 1158 were recruited and randomised.

    MODEL: We use the Proximal Similarity Model, which considers the person, place, and setting and practice, as a framework for considering generalisability. As well as comparing the recruited patients with the target population, we also performed an exploratory analysis of the demographic, clinical, site and process factors associated with recruitment.

    RESULTS: The demographics and stroke characteristics of the included patients in the trial were broadly similar to population-based norms, with the exception that AVERT had a greater proportion of men. The most common reason for non-recruitment was late arrival to hospital (ie, >24 h). Overall, being older and female reduced the odds of recruitment to the trial. More women than men were excluded for most of the reasons, including refusal. The odds of exclusion due to early deterioration were particularly high for those with severe stroke (OR=10.4, p<0.001, 95% CI 9.27 to 11.65).

    CONCLUSIONS: A model which explores person, place, and setting and practice factors can provide important information about the external validity of a trial, and could be applied to other clinical trials.

    TRIAL REGISTRATION NUMBER: Australian New Zealand Clinical Trials Registry (ACTRN12606000185561) and Clinicaltrials.gov (NCT01846247).

    Matched MeSH terms: Research Design
  4. Huggins JE, Guger C, Ziat M, Zander TO, Taylor D, Tangermann M, et al.
    PMID: 29152523 DOI: 10.1080/2326263X.2016.1275488
    The Sixth International Brain-Computer Interface (BCI) Meeting was held 30 May-3 June 2016 at the Asilomar Conference Grounds, Pacific Grove, California, USA. The conference included 28 workshops covering topics in BCI and brain-machine interface research. Topics included BCI for specific populations or applications, advancing BCI research through use of specific signals or technological advances, and translational and commercial issues to bring both implanted and non-invasive BCIs to market. BCI research is growing and expanding in the breadth of its applications, the depth of knowledge it can produce, and the practical benefit it can provide both for those with physical impairments and the general public. Here we provide summaries of each workshop, illustrating the breadth and depth of BCI research and highlighting important issues and calls for action to support future research and development.
    Matched MeSH terms: Research
  5. Nasution A, Yusuf A, Lean Keng S, Rasudin NS, P Iskandar YH, Ab Hadi IS
    Asian Pac J Cancer Prev, 2021 Oct 01;22(10):3151-3163.
    PMID: 34710991 DOI: 10.31557/APJCP.2021.22.10.3151
    BACKGROUND: Mobile health technologies are widely being used for delivering health behaviour interventions. However, there is insufficient evidence that they are integrating theory and only a few researchers utilized a qualitative approach in their study.

    OBJECTIVES: This paper aims to identify requirements in developing a breast examination awareness mobile app based on the component of the Health Belief Model (HBM) for integration in health promotion strategy.

    METHODS: A qualitative approach using semi-structured in-depth interview was utilized in this study. A purposive sampling method was conducted among public women attending hospital services, software and content experts in a tertiary teaching hospital in the East coast of Peninsular Malaysia. These interviews were recorded, transcribed and organized using NVIVO 11. The main themes were identified through thematic analysis of the interview transcripts.  Results: A total of 37 participants recruited in this study. The themes that emerged from the analysis are vulnerability, forecasting, reactive, influence, outcome and obstacles. The sub-themes findings supported the HBM's component in terms of the requirement for are an infographic risk factor, video (symptoms, self-examination), info (metastasis, survival, screening, triple assessment, treatment, myth and facts, benefit of early treatment, support groups), features (screening reminder, sharing button, prompt) and mobile app's design.

    CONCLUSION: The research findings could provide a guide for future app development from public women, content and software experts.  The information will be used to develop a breast examination awareness mobile app integrated with health theories.

    Matched MeSH terms: Qualitative Research
  6. Abdul Rashid, K., Gomathy, S., Ab Manan, A.
    MyJurnal
    Majority of doctors show no interest in research although research is now a requirement and is being done in every field of medicine. The objective of this survey was to describe the involvement in research activities among doctors in Penang and Seberang Jaya hospitals in Penang. A self-administered questionnaire was used. A total of 302 doctors participated in the survey. The differences in age (p=
    Matched MeSH terms: Research
  7. Muhamad Saiful Bahri Yusoff, Mohd Jamil Yaacob, Naing, Nyi Nyi, Ab Rahman Esa
    MyJurnal
    Background: One of important educational climate roles is to provide an environment that promotes positive development of medical students' psychological wellbeing during training. Unfortunately, many studies have reported that educational climate in medical education are not favourable to them. Therefore, it is a real need for a simple, valid, reliable and stable tool that will help medical schools to screen psychological wellbeing of their students so that early intervention could be done.
    Objective: This study aimed to explore the psychometric properties of the Medical Student Wellbeing Index (MSWBI) to measure psychological wellbeing at different interval of measurements in a cohort of medical students.

    Method: A prospective study was done on a cohort of medical students. MSWBI was administered to the medical students at five different intervals. The confirmatory factor analysis, Cronbach's alpha and intra-class correlation analysis were applied to measure construct validity, internal consistency and agreement level at different interval of measurements.

    Result: A total of 153 (89.5%) medical students responded completely to the MSWBI. The MSWBI showed that the one-factor model had acceptable values for most of the goodness of fit indices signified its construct was stable across multiple measurements. The overall Cronbach's alpha values for the MSWBI at the five measurements ranged between 0.69 and 0.78. The ICC coefficient values for the MSWBI total score was 0.58 to 0.59.

    Conclusion: This study found that the MSWBI had stable psychometric properties as a screening tool for measuring psychological wellbeing among medical students at different time and occasions. Continued research is required to refine and verify its psychometric credentials at different educational settings.
    Matched MeSH terms: Research
  8. Kyaw Soe HH, Than NN, Lwin H, Nu Htay MNN, Phyu KL, Abas AL
    PMID: 29629384 DOI: 10.4103/jehp.jehp_61_17
    CONTEXT: Scientific research not only promotes health and combats diseases of an individual, but also it can strengthen the effectiveness of health systems. Hence, understanding of scientific methods becomes a crucial component in the medical profession.
    AIMS: This study was conducted to assess the knowledge, attitudes, and barriers toward research among undergraduate medical and dental students.
    SETTINGS AND DESIGN: This cross-sectional study was conducted among 295 undergraduate Bachelor of Medicine and Bachelor of Surgery (MBBS) and Bachelor of Dental Surgery (BDS) students from a private medical college in Malaysia.
    MATERIALS AND METHODS: We purposively selected 360 students attending the 3rd, 4th, and 5th year in MBBS course and BDS course in September 2015. A total of 295 students who were willing to provide written informed consent were included in this study. We collected data using a validated, self-administered, structured questionnaire which included 20 questions about knowledge toward scientific research, 21 attitude items in regard to scientific research, a list of 10 barriers toward conducting medical research, and 5 questions of confidence to conduct the medical research.
    STATISTICAL ANALYSIS USED: Data were analyzed using descriptive statistics, independent t-test, ANOVA, and multiple linear regression.
    RESULTS: Among the students, 56.9% had moderate knowledge while the majority (83.3%) had moderate attitude toward scientific research. The majorly cited barriers were the lack of time (79.9%), lack of knowledge and skills (72.1%), lack of funding (72.0%) and facilities (63.6%), and lack of rewards (55.8%). There was a significant association between age, academic year, and knowledge of research as the older age group, and 4th- and 5th-year students had higher knowledge score. The students of higher attitude score had better-perceived barriers score toward research with regression coefficient 0.095 (95% confidence interval 0.032-0.159).
    CONCLUSIONS: Even though the students had the positive attitudes toward scientific research, a supportive and positive environment is needed to improve skills and knowledge of research and to overcome the barriers toward the conduct of scientific research.
    Study site: Melaka-Manipal Medical College (MMMC), Melaka, Malaysia
    Matched MeSH terms: Research*
  9. Khoo LW, Audrey Kow S, Lee MT, Tan CP, Shaari K, Tham CL, et al.
    PMID: 30105077 DOI: 10.1155/2018/9276260
    Clinacanthus nutans (Burm.f.) Lindau (Acanthaceae), commonly known as Sabah snake grass, is a vegetable and a well-known herb that is considered an alternative medicine for insect bites, skin rashes, herpes infection, inflammation, and cancer and for health benefits. Current review aims to provide a well-tabulated repository of the phytochemical screening, identification and quantification, and the pharmacological information of C. nutans according to the experimental design and the plant preparation methods which make it outstanding compared to existing reviews. This review has documented valuable data obtained from all accessible library databases and electronic searches. For the first time we analyzed the presence of flavonoids, triterpenoids, steroids, phytosterols, and glycosides in C. nutans based on the results from phytochemical screening which are then further confirmed by conventional phytochemical isolation methods and advanced spectroscopic techniques. Phytochemical quantification further illustrated that C. nutans is a good source of phenolics and flavonoids. Pharmacological studies on C. nutans revealed that its polar extract could be a promising anti-inflammation, antiviral, anticancer, immune and neuromodulating, and plasmid DNA protective agent; that its semipolar extract could be a promising antiviral, anticancer, and wound healing agent; and that its nonpolar extract could be an excellent anticancer agent.
    Matched MeSH terms: Research Design
  10. Abdul Jabar MH, Srivastava R, Abdul Manaf N, Thangalazhy-Gopakumar S, Ab Latif FE, Luu MT, et al.
    Environ Sci Pollut Res Int, 2023 Nov;30(55):116934-116951.
    PMID: 37221293 DOI: 10.1007/s11356-023-27641-7
    Solar photovoltaic-thermal hybrid with phase change material (PVT-PCM) emerges as an intelligent game changer to stimulate the clean, reliable, and affordable renewable energy technology. This PVT-PCM technology can be manipulated into generating both electricity and thermal energy that feature its practicality for residential and industrial applications. Hybridized of PCM into PVT design adds value to existing architecture with its capability to store excess heat that can be used during insufficient solar irradiation. Present work gives overview of the PVT-PCM system on technology innovation toward commercialization (viz, solar end game) subjected to bibliometric analysis, research and development evolution, and patent activity. A consolidation of these review articles was decluttered to focus on the performance and efficiency of PVT-PCM technology based on the fact that commercialization is ready once the technology is completed and qualified (at technology readiness level, TRL: 8). Economic review was conducted to understand the feasibility of the existing solar technologies and how it affects the PVT-PCM market price. Based on the contemporary findings, promising performance of PVT-PCM technology has underpinned its feasibility and technology readiness. China has predominant local and international framework and expected to be the PVT-PCM technology trendsetter in the next years through its strong international collaborative projects and pioneer in PVT-PCM patent filing. This present work underscores the solar end-game strategy and recommendation to create a path forward to achieve clean energy transition. Though, as to the date of submission of this article, no industry  has found to manufacture/sell this hybrid technology in the market.
    Matched MeSH terms: Research
  11. Amarneh S, Raza A, Matloob S, Alharbi RK, Abbasi MA
    Nurs Res Pract, 2021;2021:6688603.
    PMID: 33815841 DOI: 10.1155/2021/6688603
    There is an acute shortage of nurses worldwide, including in Jordan. The nursing shortage is considered to be a crucial and complex challenge across healthcare systems and has stretched to a warning threshold. High turnover among nurses in Jordan is an enduring problem and is believed to be the foremost cause of the nurse shortage. The purpose of this study was to investigate the multidimensional impact of the person-environment (P-E) fit on the job satisfaction (JS) and turnover intention (TI) of registered nurses. The moderating effect of psychological empowerment (PE) on the relationship between JS and TI was also investigated. Based on a quantitative research design, data were collected purposively from 383 registered nurses working at private Jordanian hospitals through self-administered structured questionnaires. Statistical Package for Social Sciences (SPSS) 25 and Smart Partial Least Squares (PLS) 3.2.8 were used to analyze the statistical data. The results showed that there is a significant relationship between person-job fit (P-J fit), person-supervisor fit (P-S fit), and JS. However, this study found an insignificant relationship between person-organization fit (P-O fit) and JS. Moreover, PE was also significantly moderate between JS and TI of nurses. This study offers an important policy intervention that helps healthcare organizations to understand the enduring issue of nurse turnover. Additionally, policy recommendations to mitigate nurse turnover in Jordan are outlined.
    Matched MeSH terms: Research Design
  12. Anuar HM, Fadzil F, Sallehuddin SM, Ahmad N, Abd Ghani N
    J Altern Complement Med, 2010 Nov;16(11):1201-5.
    PMID: 21058886 DOI: 10.1089/acm.2009.0592
    OBJECTIVE: We conducted this study to gain an insight into the experiences and views of practitioners of urut Melayu, the traditional Malay massage, which will be used in developing a preliminary framework of the urut Melayu process. DESIGN: We adopted a qualitative study design. We carried out a total of five focus group discussions (FGDs) comprising 6-10 urut Melayu practitioners each.
    LOCATION: We carried out three FGDs at the Traditional and Complementary Medicine Division, Ministry of Health and two FGDs at a district Health Clinic.
    SUBJECTS: All participants of the FGDs were urut Melayu practitioners registered with the Ministry of Health. Three (3) FGDs comprised all females while two comprised all males. A total of 12 males and 24 females participated in the study.
    RESULTS: We identified six themes from the study, namely, indications for urut Melayu, the urut Melayu technique, other treatments in conjunction with urut Melayu, outcome of urut Melayu, ethics of urut Melayu, and practitioners' source of skills and knowledge.
    CONCLUSIONS: Urut Melayu is a unique form of massage carried out for various purposes. Although it is common belief that there are vast differences in the way it is performed from one practitioner to another, this study revealed that similarities do exist and there is potential to develop a standard framework for urut Melayu for regulation and training purposes.
    Matched MeSH terms: Qualitative Research
  13. Abusafia AH, Khraisat AMS, Tableb OK, Al-Mugheed K, Alabdullah AA, Abdelaliem SMF
    BMC Palliat Care, 2024 Jan 22;23(1):21.
    PMID: 38246991 DOI: 10.1186/s12904-024-01356-z
    PURPOSE: This study aimed to assess the impact of the Nursing Spiritual Care Module on the competence of nurses in providing spiritual care in the context of Malaysia.

    METHOD: This study employed an experimental design and involved a total of 122 nurses, with 59 in the experimental group and 63 in the control group. Participants were selected from palliative care wards associated with Hospital Universiti Sains Malaysia. Nurses in the experimental group underwent a two-week educational module on nursing spiritual care, while nurses in the control group attended a single lecture on spiritual care provided by the hospital.

    RESULTS: The results indicated no significant differences in sociodemographic characteristics between the two groups. A significant difference in spiritual care competence within the intervention group and the control group over time (p-value = 0.001), between the two groups (p-value = 0.038), and in the interaction between time and group (p-value = 0.001).

    CONCLUSION: The Nursing Spiritual Care Module is crucial in aiding nurses and healthcare professionals in cultivating the appropriate and wholesome attitudes and practices necessary to address the spiritual needs of patients.

    Matched MeSH terms: Research Design*
  14. Ramanjot, Mittal U, Wadhawan A, Singla J, Jhanjhi NZ, Ghoniem RM, et al.
    Sensors (Basel), 2023 May 15;23(10).
    PMID: 37430683 DOI: 10.3390/s23104769
    A significant majority of the population in India makes their living through agriculture. Different illnesses that develop due to changing weather patterns and are caused by pathogenic organisms impact the yields of diverse plant species. The present article analyzed some of the existing techniques in terms of data sources, pre-processing techniques, feature extraction techniques, data augmentation techniques, models utilized for detecting and classifying diseases that affect the plant, how the quality of images was enhanced, how overfitting of the model was reduced, and accuracy. The research papers for this study were selected using various keywords from peer-reviewed publications from various databases published between 2010 and 2022. A total of 182 papers were identified and reviewed for their direct relevance to plant disease detection and classification, of which 75 papers were selected for this review after exclusion based on the title, abstract, conclusion, and full text. Researchers will find this work to be a useful resource in recognizing the potential of various existing techniques through data-driven approaches while identifying plant diseases by enhancing system performance and accuracy.
    Matched MeSH terms: Research Personnel
  15. Ahmed A, Saeed F, Salim N, Abdo A
    J Cheminform, 2014;6:19.
    PMID: 24883114 DOI: 10.1186/1758-2946-6-19
    BACKGROUND: It is known that any individual similarity measure will not always give the best recall of active molecule structure for all types of activity classes. Recently, the effectiveness of ligand-based virtual screening approaches can be enhanced by using data fusion. Data fusion can be implemented using two different approaches: group fusion and similarity fusion. Similarity fusion involves searching using multiple similarity measures. The similarity scores, or ranking, for each similarity measure are combined to obtain the final ranking of the compounds in the database.

    RESULTS: The Condorcet fusion method was examined. This approach combines the outputs of similarity searches from eleven association and distance similarity coefficients, and then the winner measure for each class of molecules, based on Condorcet fusion, was chosen to be the best method of searching. The recall of retrieved active molecules at top 5% and significant test are used to evaluate our proposed method. The MDL drug data report (MDDR), maximum unbiased validation (MUV) and Directory of Useful Decoys (DUD) data sets were used for experiments and were represented by 2D fingerprints.

    CONCLUSIONS: Simulated virtual screening experiments with the standard two data sets show that the use of Condorcet fusion provides a very simple way of improving the ligand-based virtual screening, especially when the active molecules being sought have a lowest degree of structural heterogeneity. However, the effectiveness of the Condorcet fusion was increased slightly when structural sets of high diversity activities were being sought.

    Matched MeSH terms: Research Design
  16. Ahmad AH, Abdul Aziz CB
    Malays J Med Sci, 2014 Dec;21(Spec Issue):46-54.
    PMID: 25941463 MyJurnal
    Pain, while salient, is highly subjective. A sensation perceived as painful by one person may be perceived as uncomfortable, not painful or even pleasant to others. Within the same person, pain may also be modulated according to its threat value and the context in which it is presented. Imaging techniques, such as functional magnetic resonance imaging and positron emission tomography, have identified a distributed network in the brain, the pain-relevant brain regions, that encode the sensory-discriminative aspect of pain, as well as its cognitive and affective/emotional factors. Current knowledge also implicates the prefrontal cortex as the modulatory area for pain, with its subdivisions forming the cortico-cortical pathway, an alternative pain modulatory pathway distinct from the descending modulatory pathway of pain. These findings from neuroimaging in human subjects have paved the way for the molecular mechanisms of pain modulation to be explored in animal studies.
    Matched MeSH terms: Research Subjects
  17. Noratiqah Mohd Ariff, Abdul Aziz Jemain
    Sains Malaysiana, 2012;41:1377-1387.
    Rainfalls data have been broadly used in researches including in hydrological and meteorological areas. Two common ways in extracting observations from hourly rainfalls data are the window-based analysis (WBA) and storm-event analysis (SEA) approach. However, the differences in the qualitative and quantitative properties of both methods are still vaguely discussed. The aim of studying these dissimilarities is to understand the effects of each approach in modelling and analysis. The qualitative difference is due to the way the two analyses define the accumulated rainfalls for observations which are referred to as rainfall and storm depths, respectively. The repetitiveness of rainfall depths provide nested structure while the storm depths are considered independent. The quantitative comparisons include their statistical and scaling properties that are linked by the self-similarity concept from simple scaling characteristics. If self-similarity concept
    holds, then the rainfall or storm depths follow simple scaling and the analysis would be simplified. The rainfall depths showed clearer simple scaling characteristics compared to the storm depths. Though the storm depths do not yield self-similarity for a large range of storm duration but the characteristics of simple scaling can be observed for a reduced range of the considered duration. In general, the context of the research and the region of the time interval and duration will be an important aspects to consider in choosing which method is best to use for analyzing the data.
    Matched MeSH terms: Research
  18. Norshahida Shaadan, Sayang Mohd Deni, Abdul Aziz Jemain
    Sains Malaysiana, 2015;44:1531-1540.
    In most research including environmental research, missing recorded data often exists and has become a common problem for data quality. In this study, several imputation methods that have been designed based on the techniques for functional data analysis are introduced and the capability of the methods for estimating missing values is investigated. Single imputation methods and iterative imputation methods are conducted by means of curve estimation using regression and roughness penalty smoothing approaches. The performance of the methods is compared using a reference data set, the real PM10 data from an air quality monitoring station namely the Petaling Jaya station located at the western part of Peninsular Malaysia. A hundred of the missing data sets that have been generated from a reference data set with six different patterns of missing values are used to investigate the performance of the considered methods. The patterns are simulated according to three percentages (5, 10 and 15) of missing values with respect to two different sizes (3 and 7) of maximum gap lengths (consecutive missing points). By means of the mean absolute error, the index of agreement and the coefficient of determination as the performance indicators, the results have showed that the iterative imputation method using the roughness penalty approach is more flexible and superior to other methods.
    Matched MeSH terms: Research
  19. Simon N, de Roiste M, Crozier M, Abdul Ghani Rafek
    Sains Malaysiana, 2017;46:27-34.
    In the literatures, discussions on the accuracy of different models for landslide analysis have been discussed widely.
    However, to date, arguments on the type of input data (landslides in the form of point or polygon) and how they affect
    the accuracy of these models can hardly be found. This study assesses how different types of data (point or polygon)
    applied to the same model influence the accuracy of the model in determining areas susceptible to landsliding. A total
    of 137 landslides was digitised as polygon (areal) units and then transformed into points; forming two separate datasets
    both representing the same landslides within the study area. These datasets were later separated into training and
    validation datasets. The polygon unit dataset uses the area density technique reported as percentage, while the point
    data uses the landslide density technique, as means of assigning weighting to landslide factor maps to generate the
    landslide susceptibility map that is based on the analytical hierarchy process (AHP) model. Both data groups show striking
    differences in terms of mapping accuracy for both training and validation datasets. The final landslide susceptibility
    map using area density (polygon) as input only has 48% (training) and 35% (validation) accuracy. The accuracy for
    the susceptibility map using the landslide density as input data achieved 89% and 82% for both training and validation
    datasets, respectively. This result showed that the selection of the type of data for landslide analysis can be critical in
    producing an acceptable level of accuracy for the landslide susceptibility map. The authors hope that the finding of this
    research will assist landslide investigators to determine the appropriateness of the type of landslide data because it will
    influence the accuracy of the final landslide potential map.
    Matched MeSH terms: Research; Research Personnel
  20. Adzhar Rambli, Rossita Mohamad Yunus, Ibrahim Mohamed, Abdul Ghapor Hussin
    Sains Malaysiana, 2015;44:1027-1032.
    Recently, there is strong interest on the subject of outlier problem in circular data. In this paper, we focus on detecting outliers in a circular regression model proposed by Down and Mardia. The basic properties of the model are available including the exact form of covariance matrix of the parameters. Hence, we intend to identify outliers in the model by looking at the effect of the outliers on the covariance matrix. The method resembles closely the COVRATIO statistic for the case of linear regression problem. The corresponding critical values and the performance of the outlier detection procedure are studied via simulations. For illustration, we apply the procedure on the wind data set.
    Matched MeSH terms: Research
Filters
Contact Us

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links