Logit Regression

2011 ◽  
pp. 119-150
Keyword(s):  
Logit Regression

scholarly journals Technical efficiency among agricultural households and determinants of food security in East Java, Indonesia

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Rachman Hakim ◽  
Tri Haryanto ◽  
Dyah Wulan Sari
Keyword(s):  
Food Security ◽  
Technical Efficiency ◽  
Data Envelopment ◽  
Rice Farming ◽  
Logit Regression ◽  
Agricultural Households ◽  
And Gender ◽  
Using Data ◽  
Land Size ◽  
Average Consumption

AbstractRice is a staple food in East Java, and the average consumption is 100 kg/capita/year. However, rice productivity has declined dramatically in recent years. Food security can be reached by improving the technical efficiency of rice farming, especially in rice farming centers such as East Java Province. This study aims to measure technical efficiency and its determinants using two limit tobit. And it also aims to examine the effect of the technical efficiency of rice farming on food security using logit regression. Technical efficiency will be measured by using data envelopment analysis (DEA). The results show that the technical efficiency of rice farming is very low in East Java. Government assistance, irrigation, and extension have a significant effect on technical efficiency. Meanwhile, membership of farmer organization has no effect on technical efficiency. Around 69% of farmers can be categorized as food secure households. The estimation of logit regression shows that household size, income, land size, education, age, and gender significantly influence food security in East Java. Meanwhile, credit and technical efficiency did not have any significant effect.

scholarly journals Screening of gene markers related to the prognosis of metastatic skin cutaneous melanoma based on Logit regression and survival analysis

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Guoliang Jia ◽  
Zheyu Song ◽  
Zhonghang Xu ◽  
Youmao Tao ◽  
Yuanyu Wu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cutaneous Melanoma ◽  
Expression Profiles ◽  
The Cancer Genome Atlas ◽  
Training Dataset ◽  
Validation Dataset ◽  
Survival Prognosis ◽  
Gene Markers ◽  
Clinical Prognosis ◽  
Logit Regression

Abstract Background Bioinformatics was used to analyze the skin cutaneous melanoma (SKCM) gene expression profile to provide a theoretical basis for further studying the mechanism underlying metastatic SKCM and the clinical prognosis. Methods We downloaded the gene expression profiles of 358 metastatic and 102 primary (nonmetastatic) CM samples from The Cancer Genome Atlas (TCGA) database as a training dataset and the GSE65904 dataset from the National Center for Biotechnology Information database as a validation dataset. Differentially expressed genes (DEGs) were screened using the limma package of R3.4.1, and prognosis-related feature DEGs were screened using Logit regression (LR) and survival analyses. We also used the STRING online database, Cytoscape software, and Database for Annotation, Visualization and Integrated Discovery software for protein–protein interaction network, Gene Ontology, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses based on the screened DEGs. Results Of the 876 DEGs selected, 11 (ZNF750, NLRP6, TGM3, KRTDAP, CAMSAP3, KRT6C, CALML5, SPRR2E, CD3G, RTP5, and FAM83C) were screened using LR analysis. The survival prognosis of nonmetastatic group was better compared to the metastatic group between the TCGA training and validation datasets. The 11 DEGs were involved in 9 KEGG signaling pathways, and of these 11 DEGs, CALML5 was a feature DEG involved in the melanogenesis pathway, 12 targets of which were collected. Conclusion The feature DEGs screened, such as CALML5, are related to the prognosis of metastatic CM according to LR. Our results provide new ideas for exploring the molecular mechanism underlying CM metastasis and finding new diagnostic prognostic markers.

scholarly journals Association between systolic blood pressure trajectories and hypertension risk at late adolescence: results from 10-year longitudinal follow-up in Chinese boys

BMJ Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. e042594
Author(s):  
Xijie Wang ◽  
Bin Dong ◽  
Sizhe Huang ◽  
Zhaogeng Yang ◽  
Jun Ma ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Systolic Blood Pressure ◽  
Late Adolescence ◽  
Population Based ◽  
Incidence Rates ◽  
Hypertension Risk ◽  
Logit Regression ◽  
Binomial Regression ◽  
Physical Examinations

ObjectiveTo identify various systolic blood pressure (SBP) trajectories in Chinese boys between 7 and 18 years of age, and to explore their high blood pressure (HBP) risk in their late adolescence years.Design and settingsA population-based cohort study in Guangdong, China.Participants4541 normal tensive boys who started primary school in 2005 in Zhongshan, Guangdong were included.OutcomesBlood pressure and relevant measurements were obtained by annual physical examinations between 2005 and 2016. HBP was defined by SBP or diastolic blood pressure ≥95th percentile for children under 13, and BP ≥130/80 mm Hg for children ≥13 years old. Logit regression for panel data and log-binomial regression model was used to estimate the risk of HBP among SBP trajectory groups.ResultsFour distinct SBP trajectory groups via group-based trajectory modelling: low stable (13.0%), low rising (42.4%), rising (37.4%) and high rising (7.3%). The overall incidence rates of HBP during the follow-up ranged from 40.24 (95% CI 36.68 to 44.19)/1000 person-years in the low stable group to 97.08 (95% CI 94.93 to 99.27)/1000 person-years in the high rising group. Compared with children with low stable SBP, those of other SBP trajectories suffered 3.05 (95% CI 2.64 to 3.46) to 4.64 (95% CI 4.18 to 5.09) times of higher risk of HBP in their late adolescence, regardless of their age, body mass index and BP level at baseline.ConclusionsSubgroups of SBP trajectories existed in Chinese boys, and are related to hypertension risk at late adolescence. Regular physical examinations could help identify those with higher risks at the beginning of pubertal growth.

Who Makes a Compromise? Adopting Pledges in Czech Coalition Agreements

2020 ◽  
Vol 28 (5) ◽  
pp. 728-743
Author(s):  
Petra Vodová
Keyword(s):  
Statistical Analysis ◽  
Multinomial Logit ◽  
Issue Salience ◽  
Logit Regression ◽  
Multinomial Logit Regression

Translating party pledges into coalition agreements is a crucial goal of after-election coalition negotiations. Full adoption is the best result for the bargaining party, while limited adoption is a kind of compromise forced by coalition partners, and non-adoption can be seen as a defeat. The question of what undermines the compromise and defeat in coalition agreements is, however, rarely answered. This article formulates hypotheses concerning the effect of consensual pledges among coalition parties, and party and voter-issue salience on parties’ ability to adopt their pledges and adopt them fully or partially. The effect of party level characteristics is considered. The analysis is provided on a new dataset of narrow Czech coalition party pledges in three governments established after elections in 2006, 2010 and 2013. Multinomial logit regression is used for the statistical analysis.

scholarly journals A Synoptic Weather Typing Approach to Simulate Daily Rainfall and Extremes in Ontario, Canada: Potential for Climate Change Projections

2010 ◽  
Vol 49 (5) ◽  
pp. 845-866 ◽  
Author(s):  
Chad Shouquan Cheng ◽  
Guilong Li ◽  
Qian Li ◽  
Heather Auld
Keyword(s):  
Model Development ◽  
Daily Rainfall ◽  
Simulation Models ◽  
Rainfall Simulation ◽  
Rainfall Events ◽  
Logit Regression ◽  
Synoptic Weather ◽  
Weather Typing ◽  
Synoptic Weather Typing ◽  
Cumulative Logit

Abstract An automated synoptic weather typing and stepwise cumulative logit/nonlinear regression analyses were employed to simulate the occurrence and quantity of daily rainfall events. The synoptic weather typing was developed using principal component analysis, an average linkage clustering procedure, and discriminant function analysis to identify the weather types most likely to be associated with daily rainfall events for the four selected river basins in Ontario. Within-weather-type daily rainfall simulation models comprise a two-step process: (i) cumulative logit regression to predict the occurrence of daily rainfall events, and (ii) using probability of the logit regression, a nonlinear regression procedure to simulate daily rainfall quantities. The rainfall simulation models were validated using an independent dataset, and the results showed that the models were successful at replicating the occurrence and quantity of daily rainfall events. For example, the relative operating characteristics score is greater than 0.97 for rainfall events with daily rainfall ≥10 or ≥25 mm, for both model development and validation. For evaluation of daily rainfall quantity simulation models, four correctness classifications of excellent, good, fair, and poor were defined, based on the difference between daily rainfall observations and model simulations. Across four selected river basins, the percentage of excellent and good simulations for model development ranged from 62% to 84% (of 20 individuals, 16 cases ≥ 70%, 7 cases ≥ 80%); the corresponding percentage for model validation ranged from 50% to 76% (of 20 individuals, 15 cases ≥ 60%, 6 cases ≥ 70%).

The Determinants of Poverty: Case of Indonesia

2017 ◽  
Vol 5 (3) ◽  
pp. 58-68
Author(s):  
Lilik Sugiharti ◽  
Martha Ranggi Primanthi
Keyword(s):  
Rural Area ◽  
Poverty Reduction ◽  
Jel Classification ◽  
Policy Implications ◽  
Education Attainment ◽  
Education Access ◽  
Logit Regression ◽  
Rural And Urban ◽  
Poor Households ◽  
Logit Regression Model

Objective - The objectives of the study were to analyze the general picture of poverty, and determinants of poverty in Indonesia. Understanding poverty characteristic is a main point for designing an effective poverty reduction strategy. During the last five years Indonesia has experienced a slowing down growth and the poverty rates has declined slightly. Some provinces or regions have managed to reduce the poverty well, while others have been slower, and also the distribution of the poor is uneven across both rural and urban, generally the rural is more than urban area. Methodology/Technique - Factors determining poverty of households were estimated and anayzed using a logit regression model, and it is found that such demographic factors as gender and age of households head, size of households, factors of production included accessibility to the technology and credit, working status, and education attainment, and also geographic characteristics significantly explain reasons for being poor. Moreover, increasing for accessibility of households to the technology and credit, reducing the size of households, and increasing an education attainment especially in rural area are important to do as a government priority intervention. Findings - The results of the determinants of poverty in Indonesia shows that poor households are those with large number of dependents and equipped with limited education access, and the majority of these households live in rural area. Novelty - Study suggests that increasing for accessibility of households to the technology and credit, reducing the size of households, and increasing an education attainment especially in rural area are important to do as a government priority intervention or policy implications. Type of Paper: Empirical Keywords: Logit Regression; Poverty Reduction, Indonesia. JEL Classification: I21, I22, I24.

Parameters of autonomic regulation in patients with focal frontal and temporal epilepsy

2021 ◽  
Vol 29 (1) ◽  
pp. 45-53
Author(s):  
Julia I. Medvedeva ◽  
Roman A. Zorin ◽  
Vladimir A. Zhadnov ◽  
Michael M. Lapkin
Keyword(s):  
Regression Analysis ◽  
Temporal Lobe Epilepsy ◽  
Evoked Potentials ◽  
Temporal Lobe ◽  
Focal Epilepsy ◽  
Autonomic Regulation ◽  
Control Group ◽  
Temporal Epilepsy ◽  
Logit Regression ◽  
Autonomic Support

Aim. This study aimed to investigate the mechanisms of autonomic regulation and autonomic support in focal frontal and temporal lobe epilepsy. Materials and Methods. Thirty-six individuals were examined (19 men and 17 women; mean age 33.71.4 years) in the control group (without history of epileptic seizures) and 68 patients (32 men and 36 women, 34.11.5 years) with focal epilepsy (36 patients with frontal lobe epilepsy, of which 32 had temporal lobe epilepsy). Physiological parameters of heart rate variability and of skin sympathetic evoked potentials were evaluated. Results. Predomination of sympathetic influences in both groups of patients was found. According to the analysis of skin sympathetic evoked potentials, a high activity of the suprasegmental autonomic centers was determined in patients with epilepsy. Based on the results of the correlation analysis, the initial state in patients with temporal lobe epilepsy was characterized by greater intrasystemic tension that reflects the high level of physiological costs. The logit regression analysis model makes it possible to distribute patients with focal epilepsy into groups with different disease courses on the basis of the parameters of the autonomic support of the activity. Conclusion. In patients with focal epilepsy, predomination of sympathetic influences was observed, as well as greater activity of the suprasegmental centers of the autonomic regulation. Intrasystemic ratios of autonomic regulation parameters demonstrate an increase in the intrasystemic tension and a limitation of functional reserves in patients with temporal lobe epilepsy. A complex of parameters of autonomic support allows, based on the logit regression analysis, to distribute patients into groups with different courses of focal epilepsy.

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