An improvement on the efficiency bounds and efficiency classifications in DEA with imprecise data by Bohlool Ebrahimi, Duško Tešić

“…The current paper shows that its model uses infeasible precise data instead of ordinal data. In addition, in some cases, we may be unable to calculate the relative efficiencies with his model. …”
Get full text

The Assignment of Scores Procedure for Ordinal Categorical Data by Han-Ching Chen, Nae-Sheng Wang

“…Ordinal data are the most frequently encountered type of data in the social sciences. …”
Get full text

An activity of daily living primitive–based recognition framework for smart homes with discrete sensor data by Rong Chen, Danni Li, Yaqing Liu

“…However, there is still room to improve feature extraction techniques in that the activity of daily living data are often nominal or ordinal. The ordinal data can be likely less discriminative due to the great uncertainty in level of measurement. …”
Get full text

Ordinal Analysis of Variation of Sensory Responses in Combination with Multinomial Ordered Logistic Regression vs. Chemical Composition: A Case Study of the Quality of a Sausage fr... by Tamar Gadrich, Francesca R. Pennecchi, Ilya Kuselman, D. Brynn Hibbert, Anastasia A. Semenova, Pui Sze Cheow

“…A decomposition of total variation of the ordinal data and simulation of the multinomial distribution of the relative frequencies of the responses in different categories showed a statistically significant difference between the producers’ samples, and an insignificant difference between the experts’ responses related to the same sample. …”
Get full text

A New Weighting Scheme in Weighted Markov Model for Predicting the Probability of Drought Episodes by Zulfiqar Ali, Ijaz Hussain, Muhammad Faisal, Ibrahim M. Almanjahie, Muhammad Ismail, Maqsood Ahmad, Ishfaq Ahmad

“…Illustrations of the proposed scheme are given by including temporal ordinal data on drought classes determined by the standardized precipitation temperature index (SPTI). …”
Get full text

A method to evaluate the performance of institutions based on data envelopment analysis method with qualitative data and emphasis on OCB by mohammad javad hossainzadeh saljughi

“…In this article, we measure the effect of the OCB quality index on the efficiency of institutions using the envelopment analysis method of ordinal data without compensatory properties.Methodology: Data coverage analysis is a powerful tool for assessing the performance of decision-making institutions based on a large number of input and output indicators, which can be quantitative or qualitative. …”
Get full text

Predicting Insemination Outcome in Holstein Dairy Cattle using Deep Learning by Mohammad Alishahi, Mahdi Ravakhah

“…Also, LSTM network can learn complex dependencies between ordinal data well. This ability is attributed to the unique structure of LSTM and its gate mechanisms, which enable the network to filter out irrelevant information while retaining essential information. …”
Get full text

Prevention of Postoperative Events following Reversal with Sugammadex or Neostigmine (the P-PERSoN Trial): Pilot Data Following Early Termination of a Prospective, Blinded, Randomi... by Benjamin Olesnicky, Matthew Doane, Clare Farrell, Greg Knoblanche, Anthony Delaney

“…Statistical analysis of continuous data was performed using two tailed t-tests, with categorical and ordinal data being assessed by chi-squared analysis. …”
Get full text

Pain assessment and management of adult patients in the Swedish EMS: a nationwide registry study by Glenn Larsson, Pär Wennberg, Kristoffer Wibring

“…Chi-square tests were applied for dichotomous variables, while Kruskal–Wallis tests were used for ordinal data. Logistic regression analysis was carried out to identify factors associated with pain intensity and analgesic treatment. p value < 0.001 was considered statistically significant. …”
Get full text

Analysis of Risk Factors Associated with the Incidence of Placenta Accreta at an Indonesian Tertiary Hospital by Aisha Grayli Cahyani, Willy Sandhika, Gatut Hardianto

“…In addition to a univariate analysis, the data were subjected to bivariate analysis using a two-sample independent t-test or Mann-Whitney test for ordinal data and for nominal data using the Chi-square test as well as multivariate analysis using logistic regression (p<0.05). …”
Get full text

Virtual delivery of Go4Life® resources: A pilot study enhancing physical activity in older adults through pre- and post-intervention evaluation by Nazia Naz S. Khan, MD, MS, Syed S. Raza, BS, Nikhil Regmi, MD, Ling Wang, Ph.D

“…The Generalized Estimating Equation with ordinal data is employed to find the average change in PA over 12 weeks. …”
Get full text

Therapeutic Efficacy of Moxibustion with Seed-Sized Moxa-Cone at Jing Acupoint on Limb Spasticity after Stroke： A Meta-Analysis by ZHANG Jinfei, JIANG Jiahui, TANG Jiqin

“…Measurement data were expressed by mean difference (MD) and standardized mean difference (SMD) with 95% confidence interval (CI), and enumeration data were expressed by odds ratio (OR); SAS studio software was used to calculate the effect size (logrr) and standard error (selogrr) of ordinal data based on the cumulative odds model. The statistical heterogeneity was assessed by probability value (<italic>P</italic> value) and heterogeneity value (<italic>I</italic>² value). …”
Get full text