Size and survival of the hospitality industry: The case of Spain

2020 ◽  
pp. 135481662090999
Author(s):  
Paz Rico Belda ◽  
Bernardí Cabrer-Borrás
Keyword(s):  
Hospitality Industry ◽  
Choice Model ◽  
Binary Choice ◽  
Business Activity ◽  
Cox Proportional Hazard Model ◽  
Proportional Hazard ◽  
Proportional Hazard Model ◽  
Cox Proportional Hazard ◽  
The Difference ◽  
Binary Choice Model

The aim of this study is to analyse the determinants of survival of the hospitality industry. The study pays particular attention to the size of the enterprises since the majority of Spanish hospitality enterprises are microenterprises. Two approaches are considered. The first approach uses a binary choice model to analyse the determinants of survival probability as well as the Blinder–Oaxaca decomposition, proposed by Yun (2004), to quantify the difference between enterprises according to their size and what proportion of this difference is due to observed factors or unobserved factors. The second approach is a survival analysis, carried out through the Cox proportional hazard model, which identifies the determinants of the duration of business activity of a hospitality enterprise. The empirical results show that enterprises without employees encounter less favourable conditions for survival than enterprises with employees and the risk of not surviving decreases as the size of the enterprise increases.

Contingency factors and entrepreneurship: influence in business activity

2019 ◽  
Vol 25 (8) ◽  
pp. 1685-1702 ◽  
Author(s):  
Bernardí Cabrer-Borrás ◽  
Paz Rico Belda ◽  
Dolores Botella Carrubi
Keyword(s):  
Choice Model ◽  
Empirical Literature ◽  
Business Activity ◽  
Proportional Hazard ◽  
Economic Sectors ◽  
Content Type ◽  
Cox Proportional Hazard ◽  
The Difference ◽  
Binary Choice Model ◽  
The Empirical Analysis

Purpose The purpose of this paper is to analyse the determinants of the survival of Spanish companies. Design/methodology/approach Two approaches are used and they are complementary. The first approach analyses the determinants of survival probability. For this purpose, a binary choice model is built and estimated using a sample of companies from the main economic sectors taken from the SABI database. Likewise, the Blinder–Oaxaca decomposition is applied to quantify the difference between companies with employees and without employees and the proportion of this difference that owes to observed factors or unobserved factors. Finally, the second approach is a survival analysis carried out through the Cox proportional hazard model that identifies the determinants of the duration of business activity. Findings The results of the empirical analysis show that companies without employees present less favourable conditions for survival at all stages of their evolution than companies with employees. Originality/value The contribution of this study to the empirical literature consists in analysing the difference between companies with and without employees. Due to the structure of Spanish companies, this aspect and the determinants of such difference are essential for policymakers to increase the survival for companies.

scholarly journals Effect of floor type and bedding system on sows lifespan

2013 ◽  
pp. 155-160
Author(s):  
Angéla Soltész
Keyword(s):  
Survival Analysis ◽  
Cox Proportional Hazard Model ◽  
Proportional Hazard ◽  
Proportional Hazard Model ◽  
Large White ◽  
Cox Proportional Hazard ◽  
Kaplan Meier ◽  
Significant Difference ◽  
The Difference ◽  
Comparative Examination

The paper studies two nucleus pig farms in the Great Plain region of Hungary which have same management, same feeding system but different breeding technology (Farm A had solid floor with straw and Farm B had slatted floor without straw). The genetics of sows were crossbred Dutch Large White and Dutch Landrace. The comparative examination was based on the causes of culling according to the different floor type. To the analysis of culling reasons was applied the methods of survival analysis. In the analysis there were used the Kaplan-Meier method and the Cox Proportional Hazard model to the estimate the difference between the farms. The results of survival analysis showed significant difference (p<0.05) between the lifespan of sows that caused the difference between the survival probabilities of sows culled due to lameness. Furthermore there was showed that the sows kept on solid floor with straw have stayed in production longer than on slatted floor without straw. The hazard ratio was 1.434 that means that the culling due to lameness is 1.434 times higher by the slatted floor without straw facing by solid floor with straw.

scholarly journals A Study of Factors Affecting the Length of Hospital Stay of COVID-19 Patients by Cox-Proportional Hazard Model in a South Indian Tertiary Care Hospital

2021 ◽  
Vol 12 ◽  
pp. 215013272110002
Author(s):  
Gayathri Thiruvengadam ◽  
Marappa Lakshmi ◽  
Ravanan Ramanujam
Keyword(s):  
Hospital Stay ◽  
Tertiary Care ◽  
Length Of Hospital Stay ◽  
Hazard Model ◽  
Cox Proportional Hazard Model ◽  
Care Hospital ◽  
Proportional Hazard ◽  
Proportional Hazard Model ◽  
Cox Proportional Hazard ◽  
South Indian

Background: The objective of the study was to identify the factors that alter the length of hospital stay of COVID-19 patients so we have an estimate of the duration of hospitalization of patients. To achieve this, we used a time to event analysis to arrive at factors that could alter the length of hospital stay, aiding in planning additional beds for any future rise in cases. Methods: Information about COVID-19 patients was collected between June and August 2020. The response variable was the time from admission to discharge of patients. Cox proportional hazard model was used to identify the factors that were associated with the length of hospital stay. Results: A total of 730 COVID-19 patients were included, of which 675 (92.5%) recovered and 55 (7.5%) were considered to be right-censored, that is, the patient died or was discharged against medical advice. The median length of hospital stay of COVID-19 patients who were hospitalized was found to be 7 days by the Kaplan Meier curve. The covariates that prolonged the length of hospital stay were found to be abnormalities in oxygen saturation (HR = 0.446, P < .001), neutrophil-lymphocyte ratio (HR = 0.742, P = .003), levels of D-dimer (HR = 0.60, P = .002), lactate dehydrogenase (HR = 0.717, P = .002), and ferritin (HR = 0.763, P = .037). Also, patients who had more than 2 chronic diseases had a significantly longer length of stay (HR = 0.586, P = .008) compared to those with no comorbidities. Conclusion: Factors that are associated with prolonged length of hospital stay of patients need to be considered in planning bed strength on a contingency basis.

scholarly journals POS1329 A COHORT STUDY ON THE RISK OF DEVELOPING OBSTRUCTIVE SLEEP APNEA, TEMPOROMANDIBULAR JOINT DISORDERS AND CRANIOFACIAL DEFORMITIES IN PATIENTS WITH JUVENILE IDIOPATHIC ARTHRITIS

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 947.1-947
Author(s):  
K. S. K. MA ◽  
L. T. Wang
Keyword(s):  
Obstructive Sleep Apnea ◽  
Cohort Study ◽  
Juvenile Idiopathic Arthritis ◽  
Cox Proportional Hazard Model ◽  
Proportional Hazard ◽  
Proportional Hazard Model ◽  
Cox Proportional Hazard ◽  
Obstructive Sleep ◽  
Subgroup Analyses ◽  
Underlying Mechanisms

Background:Juvenile Idiopathic Arthritis (JIA), an autoimmune disease, has been proposed to be comorbid with obstructive sleep apnea (OSA).Objectives:We aimed at identifying the relationship between JIA and OSA.Methods:We performed a cohort study including JIA and OSA patients from 1999 to 2013. A total of 2791 patients diagnosed with OSA after JIA onset were recruited, which 11,164 eligible individuals without JIA history were selected as matched-controls. A Cox proportional hazard model was developed to estimate the risk of OSA in JIA patients. A cumulative probability model was adopted to assess the time-dependent effect of JIA on OSA development, implying the casual link of the association. To identify whether JIA patients have higher risks for developing temporomandibular joint (TMJ) disorders, craniofacial anomalies and deformities than non-JIA individuals, subgroup analyses was conducted. Finally, Ingenuity Systems Pathway Analysis (IPA) was conducted to identify underlying mechanisms of the above disease correlation among peripheral blood mononuclear cells (PBMCs) from rheumatic factor (RF)-positive and RF-negative JIA patients, and subcutaneous fat tissues from OSA patients, using p-value visualization for RNA-seq analyses.Results:The Cox proportional hazard model showed that JIA patients were more likely to have OSA than non-JIA individuals (adjusted hazard ratio =1.949, 95% CI =1.264–3.005). The incidence of developing OSA was particularly high among patients who developed JIA aged 18-30 years old (aHR= 2.034, 95% CI=1.305-3.169) and males (aHR=1.82, 95% CI=1.121-2.954). The risk of developing OSA increased within 0-36 months (aHR = 2.216, 95% CI = 1.001 – 4.907) and over 60 months (aHR = 2.558, 95% CI = 1.346 – 4.860) of follow-up duration after JIA onset. Subgroup analyses showed that JIA patients were more likely to have TMJ disorders (relative risk = 2.047, 95% CI = 1.446-2.898) and to receive treatment for craniofacial deformities (RR = 1.722, 95% CI = 1.38-2.148) than non-JIA controls. IPA analyses suggested that the underlying mechanisms involved activation of antigen presentation pathway followed by antigen presentation to CD4+ and CD8+ T lymphocytes, as well as B cell development.Conclusion:Our findings identified high risks of developing OSA, TMJ disorders, and craniofacial deformities following JIA onset, which the underlying mechanisms may involve both cellular and humoral immunity.Disclosure of Interests:None declared

scholarly journals Proton pump inhibitor is a risk factor for recurrence of common bile duct stones after endoscopic sphincterotomy – propensity score matching analysis

2017 ◽  
Vol 05 (04) ◽  
pp. E291-E296
Author(s):  
Nobuhiko Fukuba ◽  
Shunji Ishihara ◽  
Hiroki Sonoyama ◽  
Noritsugu Yamashita ◽  
Masahito Aimi ◽  
...  
Keyword(s):  
Bile Duct ◽  
Propensity Score ◽  
Propensity Score Matching ◽  
Common Bile Duct Stones ◽  
Cox Proportional Hazard Model ◽  
Proportional Hazard ◽  
Bile Duct Stones ◽  
Proportional Hazard Model ◽  
Propensity Score Matching Analysis ◽  
Cox Proportional Hazard

Abstract Background and study aims Recurrence of common bile duct stones (CBDS) in patients treated with endoscopic sphincterotomy (ES) can lead to deterioration in their quality of life. Although the pathology and related factors are unclear, we speculated that proton pump inhibiter (PPI) administration increases the risk of CBDS recurrence by altering the bacterial mixture in the bile duct. Patients and methods The primary endpoint of this retrospective study was recurrence-free period. Several independent variables considered to have a relationship with CBDS recurrence including PPI use were analyzed using a COX proportional hazard model, with potential risk factors then evaluated by propensity score matching analysis. Results A total of 219 patients were analyzed, with CBDS recurrence found in 44. Analysis of variables using a COX proportional hazard model demonstrated that use of PPIs and ursodeoxycholic acid (UDCA), as well as the presence of periampullary diverticula (PD) each had a hazard ratio (HR) value greater than 1 (HR 2.2, P = 0.007; HR 2.0, P = 0.02; HR 1.9, P = 0.07; respectively). Furthermore, propensity score matching analysis revealed that the mean recurrence-free period in the oral PPI cohort was significantly shorter as compared with the non-PPI cohort (1613 vs. 2587 days, P = 0.014). In contrast, neither UDCA administration nor PD presence was found to be a significant factor in that analysis (1557 vs. 1654 days, P = 0.508; 1169 vs. 2011 days, P = 0.121; respectively). Conclusion Our results showed that oral PPI administration is a risk factor for CBDS recurrence in patients who undergo ES.

scholarly journals SMOKING STATUS AFFECTING SURVIVAL OF ADENOCARCINOMA LUNG CANCER PATIENTS IN KUALA LUMPUR, MALAYSIA

2017 ◽  
Vol 10 (9) ◽  
pp. 312
Author(s):  
Nida Sajid Ali Bangash ◽  
Natasha Hashim ◽  
Nahlah Elkudssiah Ismail
Keyword(s):  
Lung Cancer ◽  
Prognostic Significance ◽  
Hazard Model ◽  
Rank Test ◽  
Cox Proportional Hazard Model ◽  
Proportional Hazard ◽  
Kuala Lumpur ◽  
Proportional Hazard Model ◽  
Cox Proportional Hazard ◽  
Survival Difference

  Objective: Adenocarcinoma (AC) of the lung is now the most common histologic type of non-small cell lung cancer (NSCLC) worldwide since the past 20 years. This study was conducted to investigate survival difference among smoker and non-smoker lung AC patients.Methods: A retrospective observational study was conducted for 81 advanced NSCLC adult Malaysian patients in Radiotherapy and Oncology Clinic at Hospital Kuala Lumpur, Malaysia. A total of adult 30 Malaysian smokers and 51 non-smokers with lung AC were included. Ex-smokers were not included in the study. Demographic and clinical data were collected and described. For survival analysis, Kaplan–Meier test and log-rank test were used to calculate overall survival (OS) and analyse the difference in the survival curve. Cox proportional hazard model was used to identify prognostic significance of smoking status.Results: Non-smokers showed a significant association with female gender and Stage IV NSCLC. The median OS was higher for non-smokers (493 days) as compared to smokers (230 days). The Cox proportional hazard model showed higher hazard ratio for smokers.Conclusion: Non-smoking is an independent positive prognostic factor in lung AC.

scholarly journals Hospital admissions in children who had pelvicalyceal diltation detected on ultrasound scan during pregnancy: an e-cohort study

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Melissa Wright ◽  
Shantini Paranjothy ◽  
David Fone ◽  
Sinead Brophy ◽  
Joanne Demmler
Keyword(s):  
Hospital Admissions ◽  
Cox Proportional Hazard Model ◽  
Proportional Hazard ◽  
Ultrasound Scan ◽  
Second Trimester ◽  
Proportional Hazard Model ◽  
Activity Data ◽  
Cox Proportional Hazard ◽  
Uncertain Significance ◽  
The Impact

ABSTRACTObjectiveTo explore whether children with pelvicalyceal dilatation (PCD, a marker detected during the 18-20 week gestation ultrasound scan in which there is enlargement of tubes that collect urine in the kidney) have more hospital admissions for kidney problems in childhood compared to children without the marker. Approach We were funded by NISCHR to study outcomes associated with markers of uncertain significance at the second trimester anomaly scan (Welsh Study of Mothers and Babies). Data collected in the WSMB was uploaded to the Secure Anonymised Information Linkage (SAIL) databank and record linked to hospital activity data. Patterns of hospital admissions for renal causes were described and compared between those with no markers and those with PCD. Children were followed up from birth until 31st December 2014 or until the age of 5. A Cox Proportional Hazard Model was used to investigate the impact of PCD on time to first presentation. Results (Preliminary)Of the WSMB cohort, 20,834 children were eligible for inclusion in analyses. Those with PCD had 6.29 times the hazard of a renal admission compared to those without the marker (95% CI: 3.69 to 10.72). Children with PCD were more likely to have multiple renal admissions to hospital - median (interquartile range) number of renal admissions, 2.5 (1 to 5) compared to 1 (1 , 1) in children without markers. ConclusionPreliminary analysis suggests there is increased childhood renal morbidity associated with the presence of a PCD marker detected on the 18-20 week gestation ultrasound scan. These findings will inform the discussions clinicians have with parents when discussing the implications of this marker for the health of the chid.

scholarly journals Introduction of Two-Dose Mumps-Containing Vaccine into Routine Immunization Schedule in Quzhou, China, Using Cox-Proportional Hazard Model

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Zhiying Yin ◽  
Canjie Zheng ◽  
Quanjun Fang ◽  
Xiaoying Gong ◽  
Guoping Cao ◽  
...  
Keyword(s):  
Hazard Model ◽  
Routine Immunization ◽  
Cox Proportional Hazard Model ◽  
Proportional Hazard ◽  
Immunization Schedule ◽  
Proportional Hazard Model ◽  
Cox Proportional Hazard ◽  
Kaplan Meier ◽  
Routine Immunization Schedule ◽  
Different Doses

Mumps is a vaccine-preventable disease caused by the mumps virus, but the incidence of mumps has increased among the children who were vaccinated with one-dose measles-mumps-rubella (MMR) in recent years. In this study, we analyzed the influence of different doses of mumps-containing vaccine (MuCV) against mumps using Cox-proportional hazard model. We collected 909 mumps cases of children who were born from 2006 to 2010 and vaccinated with different doses of MuCV in Quzhou during 2006-2018, which were all clinically diagnosed. Kaplan-Meier survival methods and Cox-proportional hazard model were used to estimate the hazard probabilities. Kaplan–Meier curves showed that the cumulative hazard of male and female has no difference; lower hazards were detected among those who were vaccinated with two-dose MuCV, born in 2006, and infected after supplementary immunization activities (SIA). Cox-proportional hazard regression suggested that onset after SIA, born in 2006, and vaccinated with two-dose MuCV were protective factors against infection even after adjusting for potential confounding effects. Our study showed that it was necessary to revise the diagnostic criteria of mumps and identify RT-PCR as the standard for mumps diagnosis in China. We suggested that routine immunization schedule should introduce two doses of MMR and prevaccination screening should be performed before booster immunization in vaccinated populations.

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