Article | 07-May-2018
Compared to other gyro the dynamic performance of optical-fiber gyro was better and the price was cheap. Optical-fiber gyro was suit to build SINS. By the way, zero bias of optical-fiber gyro was sensitive to temperature, and the compensation technique was a hot point in INS research. According to the above situation, based on one type optical-fiber gyro, the influence mechanism about temperature to optical-fiber gyro zero bias was studied, and a test method was designed, the experiment results
Zhou Haiyuan,
Yang Heng,
Wang Qianxue,
Liu Xinming,
Pan Liang
International Journal of Advanced Network, Monitoring and Controls, Volume 3 , ISSUE 1, 1–4
Research Communicate | 27-May-2018
In this paper, a product exponential method of imputation has been suggested and their corresponding resultant point estimator has been proposed for estimating the population mean in sample surveys. The expression of bias and the mean square error of the suggested estimator has also been derived, up to the first order of large sample approximations. Compared with the mean imputation method, Singh and Deo (Statistical Papers (2003)) and Adapted estimator (Bahl and Tuteja (1991)), the simulation
Shakti Prasad
Statistics in Transition New Series, Volume 19 , ISSUE 1, 159–166
Article | 13-December-2019
The most dominant problem in the survey sampling is to obtain the better ratio estimators for the estimation of population mean or population variance. Estimation theory is enhanced by using the auxiliary information in order to improve on designs, precision and efficiency of estimators. A modified class of ratio estimator is suggested in this paper to estimate the population mean. Expressions for the bias and the mean square error of the proposed estimators are obtained. Both analytical and
Mir Subzar,
S. Maqbool,
T. A. Raja,
Prayas Sharma
Statistics in Transition New Series, Volume 20 , ISSUE 4, 181–189
Sampling Methods | 22-July-2018
In the present study we have proposed an improved family of estimators for estimation of population mean using the auxiliary information of median, quartile deviation, Gini’s mean difference, Downton’s Method, Probability Weighted Moments and their linear combinations with correlation coefficient and coefficient of variation. The performance of the proposed family of estimators is analysed by mean square error and bias and compared with the existing estimators in the literature. By
Mir Subzar,
Showkat Maqbool,
Tariq Ahmad Raja,
Surya Kant Pal,
Prayas Sharma
Statistics in Transition New Series, Volume 19 , ISSUE 2, 219–238
Research paper | 31-October-2017
The problem of estimation of finite population mean on the current occasion based on the samples selected over two occasions has been considered. In this paper, first a chain ratio-to-regression estimator was proposed to estimate the population mean on the current occasion in two-occasion successive (rotation) sampling using only the matched part and one auxiliary variable, which is available in both the occasions. The bias and mean square error of the proposed estimator is obtained. We
Zoramthanga Ralte,
Gitasree Das
Statistics in Transition New Series, Volume 16 , ISSUE 2, 183–202
Article | 24-August-2017
In this paper, we proposed an efficient family of ratio-type estimators using one auxiliary variable for the estimation of the current population mean under successive sampling scheme. This family of estimators have been studied by Ray and Sahai (1980) under simple random sampling using one auxiliary variable for estimation of the population mean. Using these estimators in successive sampling, the expression for bias and mean squared error of the proposed estimators are obtained up to the first
Nazeema T. Beevi,
C. Chandran
Statistics in Transition New Series, Volume 18 , ISSUE 2, 227–245
Article | 20-December-2020
This paper deals some linear regression type ratio exponential estimators for estimating the population mean using the known values of quartile deviation and deciles of an auxiliary variable in survey sampling. The expressions of the bias and the mean square error of the suggested estimators have been derived. It was compared with the usual mean, usual ratio (Cochran (1977)), Kadilar and Cingi (2004, 2006) and Subzar et al. (2017) estimators. After comparison, the condition which makes the
Shakti Prasad
Statistics in Transition New Series, Volume 21 , ISSUE 5, 85–98
Article | 06-July-2017
The present paper deals with a new median based ratio estimator for the estimation of finite population means in the absence of an auxiliary variable. The bias and mean squared error of the proposed median based ratio estimator are obtained. The performance of the median based ratio estimator is compared with that of the SRSWOR sample mean, ratio estimator and linear regression estimator for certain natural population. It is shown from the numerical comparisons that the proposed median based
J. Subramani
Statistics in Transition New Series, Volume 17 , ISSUE 4, 591–604
Research Article | 04-September-2019
of a larger first phase sample. In this situation, a class of two phase sampling estimators for estimating P is suggested using multi-auxiliary characters with unknown population means in the presence of non-response. The expressions of bias and mean square error of all the proposed estimators are derived and their properties are studied. An empirical study using real data sets is given to justify the theoretical considerations.
B. B. Khare,
R. R. Sinha
Statistics in Transition New Series, Volume 20 , ISSUE 3, 81–95
Research paper | 01-August-2017
We test the emerging hypothesis that prefrontal cortical mechanisms involved in non-veridical decision making do not overlap with those of veridical decision making. Healthy female subjects performed an experimental task assessing free choice, agent-centered decision making (The Cognitive Bias Task) and a veridical control task related to visuospatial working memory (the Moving Spot Task). Transcranial magnetic stimulation (TMS) was applied to the left and right dorsolateral prefrontal cortex
Jaan Tulviste,
Elkhonon Goldberg,
Kenneth Podell,
Talis Bachmann
Acta Neurobiologiae Experimentalis, Volume 76 , ISSUE 3, 182–191
Article | 06-July-2017
This paper proposes a family of estimators of population variance 2 y S of the study variable y in the presence of known population variance 2 x S of the auxiliary variable x. It is identified that in addition to many, the recently proposed classes of estimators due to Sharma and Singh (2014) and Singh and Pal (2016) are members of the proposed family of estimators. Asymptotic expressions of bias and mean squared error (MSE) of the suggested family of
Housila P. Singh,
Surya K. Pal
Statistics in Transition New Series, Volume 17 , ISSUE 4, 605–630
Sampling Methods | 22-July-2018
for their multivariate sample designs. These approaches also included some design efficiency and error statistics for the determination of the univariate sample sizes. These should be used for determining the survey quality measures after the data collection, not before. The additional components of the classical sample size measure will create selection and representation bias of survey estimates, which is discussed in this article.
Ceylan Talu Yozgatligil,
H. Öztaş Ayhan
Statistics in Transition New Series, Volume 19 , ISSUE 2, 201–218
Article | 01-June-2016
This paper addresses the problem of mobile sensor localization and tracking in an obstructed environment. To solve this problem, a combination of three approaches is proposed: a nonlinear Kalman Filter to estimate the mobile position, a sub filter used jointly with the nonlinear filter to estimate the bias due to the Non-Line Of Sight (NLOS) effect and a low complexity method for Line Of Sight (LOS) and NLOS identification. Based on hypothesis testing, this method discriminates between the LOS
Y. K. Benkouider,
M. Keche
International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 1054–1072
Article | 08-April-2018
In this paper, a new method of clock disciplining based on GPS/BD dual-mode receiver is proposed, which can improve the estimation accuracy of clock bias by fusing the GPS clock bias data and the BD clock bias data. In addition, the use of unbiased FIR filtering algorithm to filter the clock bias data to improve the accuracy of the clock filter. According to the experimental results, the time synchronization precision of the proposed method is 50ns, which is better than that based on single
YU Fan,
MA Xing,
Wang Zhongsheng
International Journal of Advanced Network, Monitoring and Controls, Volume 1 , ISSUE 2, 89–95
Article | 06-July-2017
We consider the problem of predicting a function of misclassified binary variables. We make an interesting observation that the naive predictor, which ignores the misclassification errors, is unbiased even if the total misclassification error is high as long as the probabilities of false positives and false negatives are identical. Other than this case, the bias of the naive predictor depends on the misclassification distribution and the magnitude of the bias can be high in certain cases. We
Noriah M. Al-Kandari,
Partha Lahiri
Statistics in Transition New Series, Volume 17 , ISSUE 3, 429–447
research-article | 01-October-2021
Oxford Centre for Evidence-Based Medicine (OCEBM) criteria were used.19
Risk of bias assessment
The risk of bias for RCTs was assessed using the Cochrane Collaboration’s risk of bias tool.20 The following domains were considered: 1. random sequence generation, 2. allocation sequence concealment, 3. blinding of outcome assessment, 4. incomplete outcome data, 5. selective outcome reporting, and 6. other sources of bias. The risk of bias for each domain was judged as ‘low risk’, ‘high risk’, or
Supatchai Boonpratham,
Natnicha Pariyatdulapak,
Thongchai Poonpiriya,
Supakit Peanchitlertkajorn,
Nuntinee Nanthavanich Saengfai
Australasian Orthodontic Journal, Volume 37 , ISSUE 2, 273–283
Review | 20-July-2021
dimensions and headgear. A risk of bias assessment was conducted using the ACROBAT-NRSI tool for non-randomised studies. Results: Of the 51 articles initially retrieved, only three were eligible for inclusion, while the remainder were retrospective cohort studies presenting serious risk of bias primarily due to undetected confounding factors or selection bias. No quantitative synthesis was possible. One study assessed the potential effect of isolated headgear treatment on apnoeic indices, while two
Vera Studer,
Despina Koletsi,
Anna Iliadi,
Theodore Eliades
Australasian Orthodontic Journal, Volume 34 , ISSUE 2, 239–249
research-article | 13-July-2021
phosphopeptide amorphous calcium phosphate (CPP-ACP). However, split mouth studies contributed to 50% of the quantitative analysis presented in one MA.11 These studies were significantly confounded due to carry-across effects, which produced bias in treatment efficacy estimates.14,15 Additionally, there were no statistical tests to detect the carry-across effect.15 Two SRs investigated post-orthodontic WSL inhibition, rather than prevention, which is the focus of the present SR.10,13 Two SRs included non
Justin Mathews,
Paul M. Schneider,
Anita Horvath,
David J. Manton,
Mihiri Silva
Australasian Orthodontic Journal, Volume 37 , ISSUE 1, 14–30
Article | 24-August-2017
For various reasons individuals in a sample survey may prefer not to confide to the interviewer the correct answers to certain potentially sensitive questions such as the illegal use of drugs, illegal earning, or incidence of acts of domestic violence, etc. In such cases the individuals may elect not to reply at all or to reply with incorrect answers. The resulting evasive answer bias is ordinarily difficult to assess. The use of a randomized response method for estimating the proportion of
Kajal Dihidar,
Manjima Bhattacharya
Statistics in Transition New Series, Volume 18 , ISSUE 2, 193–210
Review | 10-July-2018
(for observational studies) and March 2017 (for randomized trials). We summarized data as risk ratios and pooled prevalences. Trial Sequential Analysis was used to control for random errors. We assessed the risk of bias and the quality of evidence according to Cochrane guidelines.Results:Ten randomized trials (1103 participants), 17 non-randomized studies (76,237 participants) and 12 patient reports or series (18 patients) were identified. In the randomized trials, there was no significant
Erica Ramstad,
Ole Jakob Storebø,
Trine Gerner,
Helle B. Krogh,
Mathilde Holmskov,
Frederik L. Magnusson,
Carlos R. Moreira-Maia,
Maria Skoog,
Camilla Groth,
Donna Gillies,
Morris Zwi,
Richard Kirubakaran,
Christian Gluud,
Erik Simonsen
Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, Volume 6 , ISSUE 1, 52–71
research-article | 13-July-2021
dentition, early mixed dentition, late mixed dentition and early permanent dentition) on the treatment outcome of maxillary protraction in skeletal Class III children.
Materials and methods
This systematic review followed the ROBINS-I (Risk Of Bias In Non-randomised Studies of Interventions) guidelines, as a tool for assessing the risk of bias in non-randomised studies of interventions.15,16
Search strategy and databases
A systematic search to identify all of the relevant studies was conducted within
Wei Miao,
Dan Zhou,
Chunjie Li,
Lichun Chen,
Min Guan,
Yiran Peng,
Li Mei
Australasian Orthodontic Journal, Volume 37 , ISSUE 1, 37–49
Article | 15-March-2019
In this paper, we introduce a new Lindley Pareto distribution, which offers a more flexible model for modelling lifetime data. Some of its mathematical properties like density function, cumulative distribution, mode, mean, variance, and Shannon entropy are established. A simulation study is carried out to examine the bias and mean square error of the maximum likelihood estimators of the unknown parameters. Three real data sets are fitted to illustrate the importance and the flexibility of the
Halim Zeghdoudi,
Lazri Nouara,
Djabrane Yahia
Statistics in Transition New Series, Volume 19 , ISSUE 4, 671–692
Sampling Methods | 22-July-2018
Siraj Muneer,
Javid Shabbir,
Alamgir Khalil
Statistics in Transition New Series, Volume 19 , ISSUE 2, 259–276
Article | 06-July-2017
In the paper methods of reducing the so-called boundary effects, which appear in the estimation of certain functional characteristics of a random variable with bounded support, are discussed. The methods of the cumulative distribution function estimation, in particular the kernel method, as well as the phenomenon of increased bias estimation in boundary region are presented. Using simulation methods, the properties of the modified kernel estimator of the distribution function are investigated
Aleksandra Baszczyńska
Statistics in Transition New Series, Volume 17 , ISSUE 3, 541–556
Article | 20-July-2021
included that involved (i) patients of any age who had WSLs after the removal of fixed appliances, (ii) any treatment to remineralise the WSLs compared with no treatment or a placebo, and (iii) measurement of the changes in enamel mineralisation status after treatment. Eligible articles were assessed for internal bias and underwent narrative synthesis. A meta-analysis using random-effects modelling was performed to calculate a pooled estimate and assess between-study variability using Cochran’s Q
Eng Seng Yeoh,
Tam Le,
Joemer Maravilla,
Vincent O’Rourke,
Yan He,
Qingsong Ye
Australasian Orthodontic Journal, Volume 34 , ISSUE 1, 45–60
Research paper | 31-October-2017
Hilal A. Lone,
Rajesh Tailor
Statistics in Transition New Series, Volume 16 , ISSUE 1, 53–64
Article | 28-May-2019
. Equations for bias and mean squared error are obtained by large sample approximation. Through the numerical and simulation studies it can be easily understood that the proposed method of imputation can outperform their counterparts.
Muhammed Umair Sohail,
Javid Shabbir,
Farinha Sohil
Statistics in Transition New Series, Volume 20 , ISSUE 1, 21–40
Article | 15-September-2020
We consider nonparametric estimation of a distribution function when data are collected from multiple overlapping data sources. Main statistical challenges include (1) heterogeneity of data sets, (2) unidentified duplicated records across data sets, and (3) dependence due to sampling without replacement from a data source. The proposed estimator is computable without identifying duplication but corrects bias from duplicated records. We show the uniform consistency of the proposed estimator over
Takumi Saegusa
Statistics in Transition New Series, Volume 21 , ISSUE 4, 144–158
Sampling Methods | 12-July-2018
Inference in surveys with nonresponse has been studied extensively in the literature with a focus on the estimation phase. Propensity weighting and calibrated weighting are among the adjustment methods used to reduce the nonresponse bias. The data collection phase has come into focus more recently; the literature on adaptive survey design emphasizes representativeness and degree of balance as desirable properties of the response obtained from a probability sample. We take an integrated view
Carl-Erik Särndal,
Imbi Traat,
Kaur Lumiste
Statistics in Transition New Series, Volume 19 , ISSUE 2, 183–200
Sampling Methods | 26-May-2018
Jaishree Prabha Karna,
Dilip Chandra Nath
Statistics in Transition New Series, Volume 19 , ISSUE 1, 25–44
Research Article | 02-November-2017
The accelerometers used for Inertial Navigation in satellite launch vehicles demand excellent performance in terms of sensitivity, noise immunity, linearity, bias and scale factor stability over time and environmental changes. Detailed and in-depth design of the microstructure by computer simulation is required to ensure structural integrity and reliability of the microstructure. The microstructure of the accelerometer consists of a proof mass suspended from the mounting frame by beam springs
Thampi Paul,
Jaspreet Singh,
M. M. Nayak,
K. Rajanna,
M. Sasi Kumar
International Journal on Smart Sensing and Intelligent Systems, Volume 1 , ISSUE 4, 1019–1030
Article | 15-March-2019
random sample from this distribution are investigated. A simulation study is performed to compare the performance of the different parameter estimates in terms of bias and mean square error. We apply a real data set to illustrate the applicability of the new model. Empirical findings show that proposed model provides better fits than other well-known extensions of Lindley distributions.
V. Ranjbar,
M. Alizadeh,
G. G. Hademani
Statistics in Transition New Series, Volume 19 , ISSUE 4, 621–643
Research Article | 08-December-2021
estimator, and the Anderson–Darling estimator. We derive analytical forms for the bias and mean square error. A simulation study is performed to investigate the consistency of the suggested methods of estimation. Data relating to the wind speed and service times of aircraft windshields are used with the studied methods. The simulation studies and real data applications have revealed that the maximum likelihood estimator performs more efficiently than its remaining counterparts.
Amal S. Hassan,
Salwa M. Assar,
Kareem A. Ali,
Heba F. Nagy
Statistics in Transition New Series, Volume 22 , ISSUE 4, 171–189
Research Article | 02-February-2017
Thordur Vikingur FRIDGEIRSSON
Transport Problems, Volume 11 , ISSUE 2, 103–115
Research paper | 30-October-2017
A. K. P. C. Swain,
Manjula Das
Statistics in Transition New Series, Volume 16 , ISSUE 1, 37–52
Article | 01-June-2016
Ciaran Doyle,
Dr Daniel Riordan,
Dr Joseph Walsh
International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 509–525
Article | 15-September-2020
Song Cai,
J. N. K. Rao,
Laura Dumitrescu,
Golshid Chatrchi
Statistics in Transition New Series, Volume 21 , ISSUE 4, 68–83
Article | 01-June-2015
The most difficult and challenging problem in medical image analysis is image segmentation. Due to the limited imaging capability of magnetic resonance (MR), the sampled magnetic resonance images from clinic always suffer from noise, bias filed (also known as intensity non-uniformity), partial volume effects and motive artifacts. In additional, for the complex shape boundary and topology of brain tissues and structures, segmenting magnetic resonance image of brain tumor fast, accurately and
Liu Erlin,
Wang Meng,
Teng Jianfeng,
Li Jianjian
International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 2, 1031–1049
Research Article | 13-December-2017
) element to reduce estimation bias and a variable forgetting factor for good parameter tracking and smooth steady state. Simulation results have shown that the LAE with fixed forgetting factor gives better parameter estimates compared to the recursive least-squares error (RLSE) method, whereas the LAE+VFF offers even better estimation and tracking of system parameters that are subject to abrupt changes, provided that the fs and lf values are chosen accordingly. It has also been proven that the
H. Selamat,
A. J. Alimin,
Y. M. Sam
International Journal on Smart Sensing and Intelligent Systems, Volume 1 , ISSUE 3, 754–770
Article | 12-April-2018
In view of the preconscious behavior of pedestrian and walking speed differences, a lattice gas model of bi-direction pedestrian flow is established in this paper. According to the characteristics of pedestrian following behavior and preconscious dynamic change in different walking conditions, bi-direction pedestrian behavior model based on dynamic preconsciousness is constructed to study the bias decision-making behavior of pedestrian movement. Through numerical simulation, the influence of
Xin Tang,
Xueyu Zhao,
Lin Pan,
Jiying Wang,
Yi Yang
International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 3, 109–115
Sampling Methods | 27-May-2018
This paper examines the chain of weights, beginning with the basic sampling weights for the respondents. These were then converted to reweights to reduce the bias due to missing quantities. If micro auxiliary variables are available for a gross sample, we suggest taking advantage first of the response propensity weights, and then of the calibrated weights with macro (aggregate) auxiliary variables. We also examined the calibration methodology that starts from the basic weights. Simulated data
Seppo Laaksonen,
Auli Hämäläinen
Statistics in Transition New Series, Volume 19 , ISSUE 1, 45–60
Article | 15-September-2020
, based on 10-year survey data (2007-2016), show substantial improvement in the precision of the estimates, albeit with presence of some bias.
André Felipe Azevedo Neves,
Denise Britz do Nascimento Silva,
Fernando Antônio da Silva Moura
Statistics in Transition New Series, Volume 21 , ISSUE 4, 84–102
Article | 23-April-2021
accord with research reporting that implicit bias, often created by unconscious attitudes and stereotypes, was highly prevalent in merit selection decisions (Beattie & Johnson, 2012; Foley & Williamson, 2019). Principals were also asked to elaborate using their own words, on why they had selected the survey response option in Table 3. Many indicated that the merit selection of school leaders was both a variable and subjective process:
Table 3.
Can merit be “measured” objectively?
Response
Kevin Steed,
John De Nobile,
Manjula Waniganayake
Journal of Educational Leadership, Policy and Practice, Volume 36 , 1–21
Article | 24-December-2021
contributes to development ofaviation management and specifically to the construction of business models, but can also be useful for practical implementations in small- or middle-size airlines. Thisresearch is qualitative in nature, based mostly on interviews with managers of regional airline companies. This approach has some limitations in the context of representativeness due to its retrospective nature and the potential bias of the respondents; therefore, it requires further verification. However, this
Stefan CHABIERA
Transport Problems, Volume 16 , ISSUE 4, 163–172
Article | 05-September-2021
relative bias and greater efficiency. Moreover, they prove more consistent than the existing classical synthetic estimator. The further evaluation carried out using the coefficient of variation provides additional confirmation of the calibrated estimator’s advantage over the existing ones in relation to small area estimation.
Matthew Joshua Iseh,
Ekaette Inyang Enang
Statistics in Transition New Series, Volume 22 , ISSUE 3, 15–30
Article | 06-July-2017
estimation in official statistics, beginning with international seminars and conferences devoted to SAE procedures and methods (starting with the Canadian symposium, 1985, and the Warsaw conference, 1992, to the Poznan conference, Poland, 2014), and some international projects (EURAREA, SAMPLE, BIAS, AMELI, ESSnet). Next, some aspects of development of SAE in official statistics are discussed. At the end some conclusions regarding quality of SAE procedures are considered.
Jan Kordos
Statistics in Transition New Series, Volume 17 , ISSUE 1, 105–132
Article | 15-September-2020
estimates are constantly below the survey-weighted estimates, indicating potential bias. Our study indicates limitations of the approach that generate an estimated optimal estimator by first obtaining the optimal estimator in a class of linear combination of Y and then substituting in the optimal estimator an estimate of Σ. Any attempt to improve on the estimated optimal estimator in any given class would require a thorough investigation of the highly non-trivial problem of estimation of &Sigma
Daniel Bonnéry,
Yang Cheng,
Partha Lahiri
Statistics in Transition New Series, Volume 21 , ISSUE 4, 166–190
research-article | 13-July-2021
Reviews and Meta-Analysis (PRISMA) checklist.19,20 Two reviewers independently performed the literature search, study inclusion, data extraction and risk of bias assessment. Any dispute was discussed with a third counsellor.
Search strategy
An electronic search, without language restriction, was undertaken on the 20th February, 2020 in the following databases: PubMed, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), System for Information on Grey Literature in Europe (SIGLE
Jie Xiang,
Yuanyuan Yin,
Ziqi Gan,
Sangbeom Shim,
Lixing Zhao
Australasian Orthodontic Journal, Volume 37 , ISSUE 1, 50–61
Article | 15-March-2019
G. N. Singh,
Amod Kumar,
Gajendra K. Vishwakarma
Statistics in Transition New Series, Volume 19 , ISSUE 4, 575–596
Research Article | 18-March-2020
Rohini Yadav,
Rajesh Tailor
Statistics in Transition New Series, Volume 21 , ISSUE 1, 1–12
Research Article | 03-March-2021
When faced with missing data in a statistical survey or administrative sources, imputation is frequently used in order to fill the gaps and reduce the major part of bias that can affect aggregated estimates as a consequence of these gaps. This paper presents research on the efficiency of model–based imputation in business statistics, where the explanatory variable is a complex measure constructed by taxonomic methods. The proposed approach involves selecting explanatory variables that fit
Andrzej Młodak
Statistics in Transition New Series, Volume 22 , ISSUE 1, 1–28
Review | 20-July-2021
combination of periodontal and orthodontic therapies. The most recurrent sources of bias were the absence of a control group and limited adequate examinations before and after treatment.
Gustavo H. Gameiro,
Michel Dalstra,
Paolo M. Cattaneo
Australasian Orthodontic Journal, Volume 35 , ISSUE 2, 184–194
Article | 30-July-2021
’s analysis. Inter-method agreement (IEMA) was assessed by Carstensen’s limit of agreement (LOA). Results: Intra-examiner repeatability (IER) for the unweighted and weighted data was slightly better for the conventional rather than the digital models. There was a slightly higher negative bias of -1.62 for the weighted PAR data for the digital models. IEMA for the overall weighted data ranged from -8.70 – 5.45 (95% Confidence Interval, CI). Intra-class Correlation Coefficients (ICC
Sridhar Pasapula,
Martyn Sherriff,
Jeremy Breckon,
Dirk Bister,
Stefan Abela
Australasian Orthodontic Journal, Volume 32 , ISSUE 2, 184–192
Article | 22-January-2018
Kumari Priyanka,
Richa Mittal
Statistics in Transition New Series, Volume 18 , ISSUE 4, 569–587
Review Paper | 23-December-2015
Introduction. Epidemiological studies on epilepsy were long based, with few exceptions, on hospital and institution patients with a subsequent bias toward more difficult cases and the reported prevalence and incidence rates were often obviously too low. Few data are available on the temporal changes in the incidence of epilepsy. Aim. To study the prevalence and incidence in an unselected child population including all the children living either in the society or in the institution, temporal
Matti Sillanpää
Journal of Epileptology, Volume 23 , ISSUE 2, 149–157
Research paper | 31-October-2017
diagnostic measures. All methods provided unbiased estimates of diagnostic measures in the absence of any covariate. LR and GEE methods produced more biased estimates as compared to MLR approach especially for small sample size studies. No bias was obtained in predicting sensitivity measure using MLR method for one screening test. Our proposed MLR method is robust for modeling diagnostic measures of a screening test as opposed to LR method. MLR method and GEE method produced similar estimates of
Alok Kumar Dwivedi,
Indika Mallawaarachchi,
Juan B. Figueroa-Casas,
Angel M. Morales,
Patrick Tarwater
Statistics in Transition New Series, Volume 16 , ISSUE 2, 203–222
Article | 27-May-2019
Kumari Priyanka,
Pidugu Trisandhya
Statistics in Transition New Series, Volume 20 , ISSUE 1, 41–65
research-article | 04-January-2021
Therese A. Evald,
Bo Møhl
Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, Volume 8 , 176–188
Article | 20-July-2021
(1984-2019), Cochrane Library (Issue 1 of 2019), CBMdisk (1978-2019) and CNKI (1994-2019) databases to identify randomised clinical trials (RCTs), which used psychological interventions to relieve pain during fixed orthodontic treatment. Specific inclusion and exclusion criteria were applied to identify relevant articles. The data were extracted independently by two reviewers and a quality assessment was carried out by using the Cochrane Collaboration ‘risk of bias’ tool. Meta-analyses
Chong Feng,
Chenzhou Wu,
Zhaowei Jiang,
Linkun Zhang,
Xizhong Zhang
Australasian Orthodontic Journal, Volume 35 , ISSUE 2, 195–209
Review | 30-November-2014
conducted via five databases: Medline, PubMed, PsycInfo, CINAHL, and ERIC. Identified articles were screened for relevance by two independent reviewers, who also assessed the risk of bias in randomized controlled trials using systematic checklists.A total of 7264 citations were identified as being published before February 2013, and 109 studies (18 of EIBI, 18 of social skills training, 4 of TEACCH, and 69 of interventions involving significant others) were included in the analysis. The included studies
Tatja Hirvikoski,
Ulf Jonsson,
Linda Halldner,
Aiko Lundequist,
Elles de Schipper,
Viviann Nordin,
Sven Bölte
Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, Volume 3 , ISSUE 3, 147–168
Research Article | 05-July-2017
children aged 11 to 16 years, 100 per age group, and one of their parents (N=1200) yielded a sampling pool of 1158 participants and a 34.8% response rate, including 175 child–parent pairs and 27 and 26 child/parent singletons. Responses to child and parent versions of the extended SDQ were analyzed by child gender and age. Child–parent agreement was evaluated using the Prevalence- and Bias-Adjusted Kappa and Bland–Altman plots.Results:Older children reported greater difficulties compared with younger
Bojing Liu,
Karin Engström,
Isabel Jadbäck,
Sara Ullman,
Anne H. Berman
Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, Volume 5 , ISSUE 1, 13–27