scholarly journals Survival analysis of Indonesian banking companies

2020 ◽  
Vol 5 (2) ◽  
pp. 39-47
Author(s):  
Farida Titik Kristanti
Keyword(s):  
Survival Analysis ◽  
Financial Distress ◽  
Cox Model ◽  
Hazard Analysis ◽  
Jel Classification ◽  
Proportional Hazard ◽  
Factors Affecting ◽  
Financial Status ◽  
Cox Proportional Hazard ◽  
The Government

Objective – Financial distress is an undesirable condition for any company. To avoid financial distress, and improve the overall financial status of a company, an understanding of the factors affecting financial distress is necessary. This research aims to identify the determinants of banking financial distress. Methodology/Technique – In this study, 41 banks comprised the sample, selected using purposive sampling. The survival cox proportional hazard analysis method to identify the determinant factors of survival of Indonesian Banks. Findings –The results show that that macro indicators (inflation and economic growth) have a significant effect on the banks’ financial distress. This implies that the government as a regulator must maintain the level of growth and inflation that stabilizes the economy so that banks can avoid financial distress. As for the banks’ management, they have an obligation to support government policies in maintaining growth and inflation. Novelty – The study uses the cox proportional hazard model. Type of Paper: Empirical. JEL Classification: G2O, G33. Keywords: Bank; Cox Model; Financial Distress; Survival Analysis. Reference to this paper should be made as follows: Kristanti, F.T. 2020. Survival analysis of Indonesian banking companies, J. Fin. Bank. Review, 5 (2): 39 – 47 https://doi.org/10.35609/jfbr.2020.5.2(1)

What makes the banks survive distress? Financial performance analysis of Indonesian Banking

2020 ◽  
Vol 11 (1) ◽  
pp. 13-13
Author(s):  
Farida Titik Kristanti
Keyword(s):  
Economic Growth ◽  
Financial Distress ◽  
Hazard Analysis ◽  
Government Policies ◽  
Proportional Hazard ◽  
Analysis Method ◽  
Factors Affecting ◽  
Cox Proportional Hazard ◽  
The Government ◽  
A Company

Financial Distress is an undesirable condition for a company. To improve, it is necessary to know the factors affecting financial distress. This research aims to find out the determinants of banking financial distress. 41 banks were taken as samples based on the purposive sampling. The survival cox proportional hazard analysis method used found evidence that macro indicators (inflation and economic growth) had a significant effect on the banks' financial distress. This implies that the government as a regulator must maintain the level of growth and inflation that stabilize the economy so that banks can avoid financial distress. As for the banks' management, they have an obligation to support government policies in maintaining growth and inflation. Keywords: bank, financial distress, survival analysis.

scholarly journals Penanganan Ties Event dalam Regresi Cox Proportional Hazard Menggunakan Metode Breslow (Kasus: Pasien Rawat Inap DBD di RSAL Jala Ammari Makassar)

2020 ◽  
Vol 2 (1) ◽  
pp. 13
Author(s):  
Herawati Hafid ◽  
Muhammad Nadjib Bustan ◽  
Muhammad Kasim Aidid
Keyword(s):  
Survival Analysis ◽  
Dengue Hemorrhagic Fever ◽  
Recovery Rate ◽  
Cox Model ◽  
Hemorrhagic Fever ◽  
Hazard Ratio ◽  
Partial Likelihood ◽  
P Value ◽  
Proportional Hazard ◽  
Cox Proportional Hazard

Abstrak Analisis Survival adalah prosedur statistika yang digunakan untuk menganalisis data dimana peubah yang diperhatikan adalah waktu sampai terjadinya suatu event. Waktu dapat dinyatakan dalam hitungan hari, minggu, bulan dan tahun. Salah satu tujuan dari analisis survival adalah untuk mengetahui hubungan antara waktu kejadian  peubah bebas yang terukur pada saat dilakukan penelitian. Metode yang sering digunakan dalam analisis survival khususnya data kesehatan adalah Regresi Cox Proportional Hazard (PH) karena distribusinya tidak tergantung pada asumsi waktu kejadian. Dalam suatu data seperti data pasien penderita penyakit Demam Berdarah Dengue (DBD) ditemukan adanya data kejadian bersama (ties event) yang berpengaruh pada pembentukan himpunan risikonya pada bagian estimasi parameter model cox,pada kasus kejadian bersama (ties event) dilakukan modifikasi pada partial likelihood untuk mengetahui faktor-faktor yang mempengaruhi laju kesembuhan pasien penderita penyakit DBD. Adapun hasil analisisnya, diperoleh faktor yang paling berpengaruh terhadap laju kesembuhan penyakit DBD yakni leukosit dengan p-value =0,097< α 0,05, dan nilai hazard ratio sebesar 1,1024 serta faktor yang kedua yaitu hematokrit dengan p-value =0,0141< α 0,05, dan nilai hazard ratio sebesar 1,595. Kata Kunci: Analisis Survival, Regresi Cox PH, Ties Event, Metode Breslow, Demam Berdarah Dengue (DBD). Abstract Survival analysis is a statistical procedure that is used to analyze data where the variables considered are the time until the occurrence of an event. Time can be expressed in days, weeks, months and years. One of the objectives of survival analysis is to find out the relationship between the time of occurrence of independent variables measured at the time of the study. The method often used in survival analysis, especially health data, is Cox Proportional Hazard (PH) Regression because its distribution does not depend on the assumption of the time of the event. In a data such as data on patients with Dengue Hemorrhagic Fever (DHF) data, there were ties event data that influenced the formation of risk sets in the cox model parameter estimation section, in the case of ties event modifications were made to the partial likelihood for know the factors that influence the recovery rate of patients with DHF. As for the results of the analysis, the factors that most influence the recovery rate of leucocyte dengue fever with p-value = 0,097 < α = 0,05 and the hazard ratio of 1.1024 and the second factor is the hematocrit with p-value = 0,0141 < α = 0,05 and the hazard ratio valueamounting to 1,595. Keywords: Survival Analysis, Cox PH Regression, Ties Event, Breslow Method, Dengue Hemorrhagic Fever (DHF).

Railway Passengers Travel Time Research Based on Survival Analysis

2014 ◽  
Vol 962-965 ◽  
pp. 2580-2583
Author(s):  
Ya Chen Zhao ◽  
Zhen Yu Zhang ◽  
Qing Jie Zheng
Keyword(s):  
Survival Analysis ◽  
Travel Time ◽  
Significant Influence ◽  
Hazard Rate ◽  
Family Income ◽  
Proportional Hazard ◽  
Rate Model ◽  
Analysis Method ◽  
Cox Proportional Hazard ◽  
Hazard Rate Model

With the development of the economy, people have higher request for the time. Studying the choice of travel about rail passengers becomes more significant. Due to these problem above and using survival analysis method, this paper builds travel time survival model based on questionnaire and have a whole analysis of the travel time of the rail passenger. Then, it concludes that most of the rail passengers’ travel time is below five hours. At last, this paper builds COX proportional hazard rate model of travel time and study the factors about travel time. The result demonstrates that the factor about whether it is students or not, family income, whether it is travelling and the number of packages has a significant influence on the travel time.

scholarly journals Factors that influence the recovery of TB patients using Cox proportional hazard regression

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
ZURNILA MARLI KESUMA ◽  
HIZIR SOFYAN ◽  
LATIFAH RAHAYU ◽  
WARDATUL JANNAH
Keyword(s):  
Control Program ◽  
Proportional Hazard ◽  
Cure Rate ◽  
Hazard Regression ◽  
Cox Proportional Hazard ◽  
National Tuberculosis Control Program ◽  
Record Data ◽  
National Tuberculosis ◽  
The Government ◽  
Cox Proportional Hazard Regression

Tuberculosis (TB) is an infectious disease which is one of the biggest health problems in the world, including Indonesia. The government, through the National Tuberculosis Control program, has made various efforts to control tuberculosis. However, this problem was exacerbated by the dramatic increase in the incidence of tuberculosis. This study aimed to determine the Cox proportional hazard regression model and the factors that affect the cure rate of TB patients. We used medical record data for inpatient TB patients for the period July-December 2017 at dr. Zainoel Abidin Hospital. The results showed that with α = 0.1, the factors that influenced the recovery of TB patients were the type of cough, the symptoms of bloody cough and symptoms of sweating at night.  There were 33.93% of patients who did not work. This category included students, domestic helpers, and those who did not work until they suffered from tuberculosis and were treated at dr. Zainoel Abidin Hospital. The hazard ratio (failure ratio) showed that the tendency or cure rate for TB patients who did not experience cough symptoms was 70% greater than patients who experienced phlegm cough symptoms. The cure rate for TB patients who experienced coughing up blood symptoms was 53% greater than patients without these symptoms. The cure rate for TB patients who experienced  symptoms of sweating at night was 54% greater than patients who did not sweat at night.

scholarly journals Microalbuminuria After Kidney Transplantation Predicts Cardiovascular Morbidity

2021 ◽  
Vol 8 ◽  
Author(s):  
Dana Bielopolski ◽  
Ruth Rahamimov ◽  
Boris Zingerman ◽  
Avry Chagnac ◽  
Limor Azulay-Gitter ◽  
...  
Keyword(s):  
Hazard Analysis ◽  
Cardiovascular Morbidity ◽  
Urine Collection ◽  
Proportional Hazard ◽  
Cvd Risk ◽  
Cox Proportional Hazard ◽  
Kaplan Meier ◽  
Cardiovascular Morbidity And Mortality ◽  
Independent Association

Background: Microalbuminuria is a well-characterized marker of kidney malfunction, both in diabetic and non-diabetic populations, and is used as a prognostic marker for cardiovascular morbidity and mortality. A few studies implied that it has the same value in kidney transplanted patients, but the information relies on spot or dipstick urine protein evaluations, rather than the gold standard of timed urine collection.Methods: We revisited a cohort of 286 kidney transplanted patients, several years after completing a meticulously timed urine collection and assessed the prevalence of major cardiovascular adverse events (MACE) in relation to albuminuria.Results: During a median follow up of 8.3 years (IQR 6.4–9.1) 144 outcome events occurred in 101 patients. By Kaplan-Meier analysis microalbuminuria was associated with increased rate of CV outcome or death (p = 0.03), and this was still significant after stratification according to propensity score quartiles (p = 0.048). Time dependent Cox proportional hazard analysis showed independent association between microalbuminuria and CV outcomes 2 years following microalbuminuria detection (HR 1.83, 95% CI 1.07–2.96).Conclusions: Two years after documenting microalbuminuria in kidney transplanted patients, their CVD risk was increased. There is need for primary prevention strategies in this population and future studies should address the topic.

Abstract 4355: Functional Status Is More Strongly Associated with Mortality in Cardiac Amyloid Compared to Echocardiographic Parameters

Circulation ◽  
2008 ◽  
Vol 118 (suppl_18) ◽  
Author(s):  
Bethany A Austin ◽  
Brendan Duffy ◽  
Rene Rodriguez ◽  
Carmela Tan ◽  
Randall C Starling ◽  
...  
Keyword(s):  
Survival Analysis ◽  
Cardiac Amyloidosis ◽  
Nyha Class ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Proportional Hazard ◽  
Term Survival ◽  
Cox Proportional Hazard ◽  
Lv Mass

Cardiac amyloidosis (CA) is generally associated with a poor prognosis and significantly increased mortality. We sought to identify predictors of longer-term survival in patients with EMB documented CA. Forty-five consecutive EMB documented CA patients were studied from 1/98 –12/03. Age, gender, NYHA class, medications, presence of light chain amyloid and ECG voltage were recorded. Baseline left ventricular ejection fraction (LVEF), deceleration time (DT), diastology, LV mass, interventricular septal (IVS) thickness and myocardial performance index (MPI) [(isovolumic contraction time + isovolumic relaxation time)/ejection time] were recorded. Length of follow-up and all-cause mortality were recorded. Mean age was 66 ±10 years with 34 (76 %) men. NYHA class > 2 and low voltage on ECG [S (V1) + R (V5) ≤12] were noted in 26 (58 %) and 12 (27 %) patients, respectively. Mean LVEF, IVS thickness and LV mass were 46 % ±13, 1.7 cm ±0.42 and 303 grams ±114, respectively. DT <150 msec and MPI > 0.6 were found in 19 (42 %) and 15 (33 %) patients, respectively. At median follow-up of 1.7 years, there were 25 (56%) deaths. On univariate Kaplan-Meier survival analysis, NYHA class > 2, DT <150 msec and lack of beta-blocker use were associated with increased mortality (log-rank statistic p-values <0.001, <0.05 and 0.01, respectively). Cox Proportional Hazard Survival Analysis is shown in the table . In patients with EMB-documented CA, s urvival is more strongly associated with NYHA functional class compared to ECG and echocardiographic variables, including DT and MPI. Evaluation of advanced imaging techniques such as cardiac magnetic resonance in predicting prognosis in these patients is warranted. Table: Cox Proportional Hazard Analysis of Various Clinical, Electrocardiographic and Echocardiographic Predictors of Mortality in Patients with Biopsy Proven Cardiac Amyloidosis

Adjunctive bright light treatment with gradual advance in unipolar major depressive disorder with evening chronotype – A randomized controlled trial

2020 ◽  
pp. 1-10
Author(s):  
Joey WY Chan ◽  
SP Lam ◽  
Shirley X Li ◽  
Steven WH Chau ◽  
SY Chan ◽  
...  
Keyword(s):  
Survival Analysis ◽  
Remission Rate ◽  
Controlled Trial ◽  
Bright Light ◽  
Light Therapy ◽  
Adjunctive Treatment ◽  
Rank Test ◽  
Proportional Hazard ◽  
Bright Light Therapy ◽  
Cox Proportional Hazard

Abstract Background Unipolar non-seasonal depressed patients with concomitant evening chronotype were associated with poor clinical outcomes and higher non-remission rate. This study aims to examine the efficacy of adjunctive bright light therapy with gradual timing advance in a randomized, assessor and prescriber-blinded controlled trial. Method Participants were randomly allocated to receive 5 weeks of either bright white light therapy (BLT) or dim red light (DRL) with the same advancement protocol. Participants were followed up till 5 months after treatment. Primary outcomes included (i) remission rate and (ii) the severity of depression. The analysis was conducted using Kaplan–Meier survival analysis, Cox proportional hazard analysis and linear mixed models. Results A total of 93 participants (46.4 ± 11.7 years old, 80% female) were randomized. The cumulative remission rate for the BLT and the DRL groups was 67.4% and 46.7%, respectively. Time to remission was shorter for the BLT group relative to the DRL group (log-rank test p = 0.024). Cox proportional hazard survival analysis showed that patients in the BLT group had a higher probability of achieving remission relative to patients in the DRL group [hazard ratio = 1.9 (95% CI = 1.1– 3.4), p = 0.026]. Further sensitivity analysis demonstrated greater improvement in 17-Hamilton Depression Score (group × time interaction, p = 0.04) in the BLT group for those who were adherent to light therapy. Conclusions The use of bright light therapy with gradual advance protocol is an effective adjunctive treatment resulting in quicker and a higher rate of remission of depression in patients with non-seasonal unipolar depression and evening-chronotype.

The Association Between Serum Human Epididymis Protein 4 Level and Cardiovascular Events in Patients with Chronic Obstructive Pulmonary Disease

2020 ◽  
Author(s):  
Hui Lin ◽  
Jianhong Xiao ◽  
Xianghua Su ◽  
Bin Song
Keyword(s):  
Blood Pressure ◽  
Chronic Obstructive Pulmonary Disease ◽  
Logistic Regression ◽  
Hazard Analysis ◽  
Chronic Obstructive ◽  
Proportional Hazard ◽  
Obstructive Pulmonary Disease ◽  
Human Epididymis Protein 4 ◽  
Human Epididymis ◽  
Cox Proportional Hazard

Abstract Objective Serum human epididymis protein 4 (HE4) is associated with immune and inflammatory responses. This study aimed to assess the performance of serum HE4 in the early detection of cardiovascular (CV) events in patients with chronic obstructive pulmonary disease (COPD). Methods Serum HE4 levels were measured in 199 patients with COPD, all of whom were prospectively followed up for a median period of 36 months (range = 3 months–38 months). Logistic regression analysis was performed to assess the association between cardiovascular disease (CVD) history and HE4 in patients with COPD. Cox proportional hazard analysis was performed to assess the prognostic value of serum HE4 for predicting CV events. Results Serum HE4 levels were higher in patients with COPD with CV events than in those without CV events (252.6 pmol/L [186.4–366.8] vs 111.0 pmol/L [84.8–157.1]; P &lt;.001). The multivariate logistic regression model revealed that serum HE4 (odds ratio = 1.639; 95% confidence interval [CI], 1.213–2.317; Ptrend =.009) was independently associated with CVD history after adjusting for age, sex, body mass index, current smoking status, current alcohol consumption status, admission systolic blood pressure and diastolic blood pressure, hyperlipidemia, left ventricular ejection fraction, primary diseases, and laboratory measurements in patients with COPD at baseline. The multivariate Cox proportional hazard analysis revealed that serum HE4 (hazard ratio = 2.012; 95% CI, 1.773–4.469; P &lt;.001) was an independent prognostic factor for CV events in these patients. The Kaplan-Meier analysis showed that the rate of CV events was higher in patients with COPD with HE4 levels above the median (187.5 pmol/L) than in those with HE4 levels below the median. Conclusion Our results showed that serum HE4 was significantly and independently associated with CVD history and had independent predictive value for CV events in patients with COPD. Serum HE4 may enable early recognition of CV complication development among patients with COPD.

scholarly journals Rising Serum Uric Acid Level Is Negatively Associated with Survival in Renal Cell Carcinoma

Cancers ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 536 ◽  
Author(s):  
Kendrick Yim ◽  
Ahmet Bindayi ◽  
Rana McKay ◽  
Reza Mehrazin ◽  
Omer A. Raheem ◽  
...  
Keyword(s):  
De Novo ◽  
Hazard Analysis ◽  
Stage I ◽  
Stage Iii ◽  
Proportional Hazard ◽  
Cox Proportional Hazard ◽  
Ckd Stage ◽  
All Cause Mortality ◽  
Statin Use ◽  
Significant Factors

Aim and Background: To investigate the association of serum uric acid (SUA) levels along with statin use in Renal Cell Carcinoma (RCC), as statins may be associated with improved outcomes in RCC and SUA elevation is associated with increased risk of chronic kidney disease (CKD). Methods: Retrospective study of patients undergoing surgery for RCC with preoperative/postoperative SUA levels between 8/2005–8/2018. Analysis was carried out between patients with increased postoperative SUA vs. patients with decreased/stable postoperative SUA. Kaplan-Meier analysis (KMA) calculated overall survival (OS) and recurrence free survival (RFS). Multivariable analysis (MVA) was performed to identify factors associated with increased SUA levels and all-cause mortality. The prognostic significance of variables for OS and RFS was analyzed by cox regression analysis. Results: Decreased/stable SUA levels were noted in 675 (74.6%) and increased SUA levels were noted in 230 (25.4%). A higher proportion of patients with decreased/stable SUA levels took statins (27.9% vs. 18.3%, p = 0.0039). KMA demonstrated improved 5- and 10-year OS (89% vs. 47% and 65% vs. 9%, p < 0.001) and RFS (94% vs. 45% and 93% vs. 34%, p < 0.001), favoring patients with decreased/stable SUA levels. MVA revealed that statin use (Odds ratio (OR) 0.106, p < 0.001), dyslipidemia (OR 2.661, p = 0.004), stage III and IV disease compared to stage I (OR 1.887, p = 0.015 and 10.779, p < 0.001, respectively), and postoperative de novo CKD stage III (OR 5.952, p < 0.001) were predictors for increased postoperative SUA levels. MVA for all-cause mortality showed that increasing BMI (OR 1.085, p = 0.002), increasing ASA score (OR 1.578, p = 0.014), increased SUA levels (OR 4.698, p < 0.001), stage IV disease compared to stage I (OR 7.702, p < 0.001), radical nephrectomy (RN) compared to partial nephrectomy (PN) (OR 1.620, p = 0.019), and de novo CKD stage III (OR 7.068, p < 0.001) were significant factors. Cox proportional hazard analysis for OS revealed that increasing age (HR 1.017, p = 0.004), increasing BMI (Hazard Ratio (HR) 1.099, p < 0.001), increasing SUA (HR 4.708, p < 0.001), stage III and IV compared to stage I (HR 1.537, p = 0.013 and 3.299, p < 0.001), RN vs. PN (HR 1.497, p = 0.029), and de novo CKD stage III (HR 1.684, p < 0.001) were significant factors. Cox proportional hazard analysis for RFS demonstrated that increasing ASA score (HR 1.239, p < 0.001, increasing SUA (HR 9.782, p < 0.001), and stage II, III, and IV disease compared to stage I (HR 2.497, p < 0.001 and 3.195, p < 0.001 and 6.911, p < 0.001) were significant factors. Conclusions: Increasing SUA was associated with poorer outcomes. Decreased SUA levels were associated with statin intake and lower stage disease as well as lack of progression to CKD and anemia. Further investigation is requisite.

Intensive Care Unit Admissions in Patients with Hematologic Malignancies: Outcomes and Prognostic Indicators.

Blood ◽  
2005 ◽  
Vol 106 (11) ◽  
pp. 752-752 ◽  
Author(s):  
Diana Rubin-Superfin ◽  
Timothy Albertson ◽  
Carol M. Richman
Keyword(s):  
Confidence Interval ◽  
Risk Group ◽  
Hazard Analysis ◽  
Hematologic Malignancies ◽  
Hazard Ratio ◽  
Prognostic Indicators ◽  
Proportional Hazard ◽  
Icu Stay ◽  
Cox Proportional Hazard ◽  
Life Threatening

Abstract With intensification in treatments of hematologic malignancies (HM), the number of life-threatening complications requiring intensive care unit (ICU) admissions has increased. In general, cancer patients requiring ICU care are considered to have a poor prognosis, but it is a common belief among intensivists that patients with HM have an exceptionally grave prognosis. The aim of the current study was to assess outcomes in patients with HM admitted to the ICU for life-threatening complications. In addition, this study intended to identify early prognostic indicators that would be helpful in determining outcomes of ICU stay in this patient population. We performed a retrospective chart review of 185 consecutive critically ill patients with HM admitted to the ICU at a tertiary university hospital during a 5.5-year period. We collected variables ar admission and during admission and identified predictors of in-hospital mortality by Cox proportional hazard analysis. 88.7% patients had active disease, and 36.2% were bone marrow transplant (BMT) recipients. 24.3% were leukopenic (leukocyte count,&lt;1.0x109/L) at admission. Sepsis (30.3%), respiratory failure (17.3%), and post-surgical complications (16.2%) were the major reasons for ICU admissions. 22.2% required vasopressors at admission. 38.4% required mechanical ventilation (MV) and 9.2% needed hemodialysis during ICU stay. Crude ICU, in-hospital, and 6-month mortality rates were 19.5%, 8.1%, and 9.7%, respectively. MV (hazard ratio, 2.75), blood urea nitrogen (BUN)&gt;22 (hazard ratio, 1.81), pre-existent COPD/Asthma (hazard ratio, 3.24), urine output (UOP)&lt;400 ml/24hr (hazard ratio, 2.8) were associated with poor outcome, while high albumin (hazard ratio, 0.54) was associated with better prognosis in multivariate Cox proportional hazard analysis. Using an univariate logistic regression model, diagnosis of acute leukemia (odds ratio, 2.42; 95% confidential interval, 1.23–4.75) or allogeneic BMT (odd ratio, 4.33; 95% confidence interval, 1.17–16.06) were associated with poor outcome, whereas diagnosis of lymphoma (odd ratio, 0.34; 95% confidence interval, 0.16–0.72) or APACHE II&lt;22 (odd ratio, 0.33; 95% confidence interval, 0.17–0.65) were associated with better prognosis. Using these variables, we categorized our population into 4 groups: a very low risk group (lymphoma or other non-leukemia in combination with no need for MV and good UOP/normal BUN), a low risk group (lymphoma or other non-leukemia in combination with either MV, or low UOP/high BUN, or both), an intermediate risk group (leukemia or post-BMT in combination with either MV, or low UOP/high BUN, or neither negative factors), and a high risk group (leukemia or post-BMT in combination with MV and low UOP/high BUN). Survival probabilities at 6 months were 85%, 50%, 47%, and 16%, respectively (p&lt;0.0001). The survival of patients with HM in the ICU was compatible with overall ICU survival at our institution, contrary to prevailing opinion. However, we identified several early predictors of outcome that may be important in deciding on prolonged ICU stay.

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