Misspecification of a binary dependent variable in the logistic model controlling for the repeated longitudinal measures

2021 ◽  
pp. 1-15
Author(s):  
Chun-Chao Wang ◽  
Yi-Ting Hwang ◽  
Chung-Chuan Chou ◽  
Hui-Ling Lee
Keyword(s):  
Logistic Model ◽  
Binary Dependent Variable

Aspects of the Evolution of the Romanian Tourists’ Preferences Concerning the Domestic Tourist Destinations

2019 ◽  
Vol 10 (1) ◽  
pp. 21-28
Author(s):  
Aniela Bălăcescu ◽  
Radu Șerban Zaharia
Keyword(s):  
Logistic Model ◽  
Local Level ◽  
Medium Term ◽  
Tourist Destinations ◽  
Tourism Management ◽  
Production And Consumption ◽  
On Line ◽  
The One ◽  
Long Term Studies

Abstract Tourist services represent a category of services in which the inseparability of production and consumption, the inability to be storable, the immateriality, and last but not least non-durability, induces in tourism management a number of peculiarities and difficulties. Under these circumstances the development of medium-term strategies involves long-term studies regarding on the one hand the developments and characteristics of the demand, and on the other hand the tourist potential analysis at regional and local level. Although in the past 20 years there has been tremendous growth of on-line booking made by household users, the tour operators agencies as well as those with sales activity continue to offer the specific services for a large number of tourists, that number, in the case of domestic tourism, increased by 1.6 times in case of the tour operators and by 4.44 times in case of the agencies with sales activity. At the same time, there have been changes in the preferences of tourists regarding their holiday destinations in Romania. Started on these considerations, paper based on a logistic model, examines the evolution of the probabilities and scores corresponding to the way the Romanian tourists spend their holidays on the types of tourism agencies, actions and tourist areas in Romania.

Logistic model for leakage current in electrical stressed ultra-thin gate oxides

2003 ◽  
Vol 39 (9) ◽  
pp. 749 ◽  
Author(s):  
E. Miranda ◽  
A. Cester ◽  
A. Paccagnella
Keyword(s):  
Leakage Current ◽  
Logistic Model ◽  
Gate Oxides

Interpersonal Predictors of Suicide Ideation and Attempt Among Early Adolescents

2021 ◽  
Vol 25 (1) ◽  
pp. 2156759X2110186
Author(s):  
Emily Sallee ◽  
Kok-Mun Ng ◽  
Abraham Cazares-Cervantes
Keyword(s):  
School Counselors ◽  
Logistic Model ◽  
Suicide Ideation ◽  
Adolescent Suicide ◽  
Early Adolescents ◽  
Interpersonal Theory ◽  
Interpersonal Theory Of Suicide ◽  
School Settings ◽  
Logistic Regressions ◽  
Shed Light

Despite the growing epidemic of suicide ideation and attempt in adolescents, there is a lack of theory-based, empirical research to shed light on these issues in this population and inform school counselors’ preventive and responsive practices. We utilized Joiner’s Interpersonal Theory of Suicide (IPTS) to examine the extent to which the interpersonal constructs of perceived burdensomeness and thwarted belongingness predicted adolescent suicide ideation and attempt by conducting two binomial logistic regressions on archival data from the 2017 eighth-grade Oregon Healthy Teens Survey. Six of the seven selected proxy items were statistically significant in each logistic model, with slight variance between the two. Our findings suggest that the interpersonal constructs of the IPTS are applicable to early adolescents and may be used to inform suicide prevention and intervention efforts among this population in school settings.

scholarly journals Use of chemometric techniques to design a microbiological method for sulfonamide detection in milk

2013 ◽  
Vol 31 (No. 6) ◽  
pp. 627-632 ◽  
Author(s):  
O.G. Nagel ◽  
M.P. Molina ◽  
R.L. Althaus
Keyword(s):  
Experimental Design ◽  
Logistic Model ◽  
Logistic Regression Model ◽  
Culture Medium ◽  
Spore Concentration ◽  
Microbiological Method ◽  
Burman Design ◽  
Detection Capabilities ◽  
Sulfonamide Residues ◽  
Plackett Burman Design

We proposed an experimental design of a microbial bioassay of dichotomous response (positive or negative) using Bacillus subtilis BGA for the detection of sulfonamide residues. In the first stage, the bioassay response time was reduced to 6 h by increasing the spore concentration of B. subtilis. Then, the effects of spore, indicator, trimethoprim (TMP) concentration, and volume of the culture medium were examined with a Plackett Burman design (2<sup>4-1</sup>). Finally, the effect of TMP concentration on the method detection capabilities and specificity was analysed using a logistic model with interaction. The detection capabilities of sulfonamides in milk are close to the MRLs when using 500 mg/l of TMP in the culture medium of the bioassay. It is concluded that the experimental design techniques and a logistic regression model can be used to design successfully a dichotomous response bioassay.

scholarly journals Residual Brewing Yeast as Substrate for Co-Production of Cell Biomass and Biofilm Using Candida maltosa SM4

Fermentation ◽  
2021 ◽  
Vol 7 (2) ◽  
pp. 84
Author(s):  
Vidal Flores-Copa ◽  
Luis Romero-Soto ◽  
Danitza Romero-Calle ◽  
María Teresa Alvarez-Aliaga ◽  
Felipe Orozco-Gutierrez ◽  
...  
Keyword(s):  
Logistic Model ◽  
Water Retention ◽  
Candida Maltosa ◽  
Brewing Yeast ◽  
Cell Biomass ◽  
Glycosidic Bonds ◽  
Biofilm Production ◽  
High Degree ◽  
Maximal Production ◽  
Different Levels

Candida maltosa was cultivated in the liquid phase of residual brewing yeast, a major brewery residue, to produce biomass and biofilm. Using response surface methodology, the effect of two variables at two different levels was investigated. The independent variables were agitation speed (at 100 and 200 rpm), and aeration (at 1 and 3 L min−1). Aeration was identified to be important for the production of both biomass and biofilm, while agitation was the only factor significantly affecting biofilm production. The maximal production of biofilm (2.33 g L−1) was achieved for agitation of 200 rpm and aeration of 1 L min−1, while the maximum for biomass (16.97 g L−1) was reached for 100 rpm agitation and 3 L min−1 air flow. A logistic model applied to predict the growth of C. maltosa in the exponential phase and the biofilm production, showed a high degree of agreement between the prediction and the actual biomass measured experimentally. The produced biofilms were further characterized using Fourier-transform infrared spectroscopy (FTIR), Scanning Electron Microscopy (SEM) and Thermogravimetric Analysis (TGA). FTIR allowed the identification of methyl, carbonyl ester and sulfate groups, and revealed the presence of uronic acid moieties and glycosidic bonds. Water-retention ability up to relatively high temperatures was revealed by TGA, and that makes the produced biofilm suitable for production of hydrogels. SEM also gave indications on the hydrogel-forming potential of the biofilm.

scholarly journals A convention-radiomics CT nomogram for differentiating fat-poor angiomyolipoma from clear cell renal cell carcinoma

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yanqing Ma ◽  
Weijun Ma ◽  
Xiren Xu ◽  
Zheng Guan ◽  
Peipei Pang
Keyword(s):  
Risk Factors ◽  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Logistic Model ◽  
Clear Cell ◽  
Cell Renal Cell Carcinoma ◽  
Entire Cohort ◽  
Conventional Ct ◽  
Radiomics Signature

AbstractThis study aimed to construct convention-radiomics CT nomogram containing conventional CT characteristics and radiomics signature for distinguishing fat-poor angiomyolipoma (fp-AML) from clear-cell renal cell carcinoma (ccRCC). 29 fp-AML and 110 ccRCC patients were enrolled and underwent CT examinations in this study. The radiomics-only logistic model was constructed with selected radiomics features by the analysis of variance (ANOVA)/Mann–Whitney (MW), correlation analysis, and Least Absolute Shrinkage and Selection Operator (LASSO), and the radiomics score (rad-score) was computed. The convention-radiomics logistic model based on independent conventional CT risk factors and rad-score was constructed for differentiating. Then the relevant nomogram was developed. Receiver operation characteristic (ROC) curves were calculated to quantify the accuracy for distinguishing. The rad-score of ccRCC was smaller than that of fp-AML. The convention-radioimics logistic model was constructed containing variables of enhancement pattern, VUP, and rad-score. To the entire cohort, the area under the curve (AUC) of convention-radiomics model (0.968 [95% CI 0.923–0.990]) was higher than that of radiomics-only model (0.958 [95% CI 0.910–0.985]). Our study indicated that convention-radiomics CT nomogram including conventional CT risk factors and radiomics signature exhibited better performance in distinguishing fp-AML from ccRCC.

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