scholarly journals Monitoring the newly infected cases of COVID-19 data weekly: A Survival Data Analysis (SDA) perspective

2021 ◽  
pp. 1-16
Author(s):  
Ramachandran Ramasamy ◽  
Maniam Kaliannan
Keyword(s):  
Data Analysis ◽  
Survival Data ◽  
Hazard Function ◽  
Survival Function ◽  
Shape Parameters ◽  
Cumulative Hazard ◽  
Short Term ◽  
Single Measure ◽  
Model Distribution ◽  
Cordon Sanitaire

This paper attempts to fit the best survival model distribution for the Malaysian COVID-19 new infections experience of Wave I/II and Wave III using the well-known Survival Data Analysis (SDA) procedures. The purpose of fitting such models is to reduce the complexity and frequency of the COVID-19 new infections data into a single measure of scale and shape parameters to enable monitoring of weekly trends, undertake short term forecasts and estimate duration when the virality will be contained. The analysis showed a Weibull distribution is the best statistical fit for Malaysia’s new infections COVID-19 data. The estimates of scale and shape parameters for Wave I/II was 0.05901 and 2.48956 and for Wave III was 0.06463 and 2.5693, respectively. Much higher hazard force in Wave III is due to weaker control in the implementation of cordon sanitaire measures imposed in containing the virality spread. Based on the survival function the short-term forecasts showed that the number of new infections projected to decline from 23,282 cases in 28th week to 22,017 cases in 31st week. Similarly, based on the cumulative hazard function the duration estimated for containing the virality completely projected to stretch over another 19.6 weeks under the prevailing conditions.

scholarly journals Estimasi Fungsi Survival dan Fungsi Hazard Kumulatif Pada Data Survival Pederita Multiple Myeloma Serta Faktor-faktor yang Mempengaruhi Waktu Survivalnya

Intersections ◽  
2019 ◽  
Vol 4 (2) ◽  
pp. 33-43
Author(s):  
Toto Hermawan ◽  
Dwi Nurrohmah ◽  
Ismi Fathul Jannah
Keyword(s):  
Multiple Myeloma ◽  
Distribution Function ◽  
Data Analysis ◽  
Probability Density Function ◽  
Weibull Distribution ◽  
Hazard Function ◽  
Cumulative Distribution Function ◽  
Survival Function ◽  
Random Variable ◽  
Cumulative Distribution

Multiple myeloma is an infectious disease characterized by the accumulation of abnormal plasma cells, a type of white blood cell, in the bone marrow. The main objective of this data analysis is to investigate the effect of Bun, Ca, Pcells and Protein risk factors on the survival time of multiple myeloma patients from diagnosis to death. In the survival data analysis, the observed random variable T is the time needed to achieve success. To explain a random variable, the cumulative distribution function or the probability density function can be used. In survival analysis, the function of the random variable that becomes important is the survival function and the hazard function which can be derived using the cumulative distribution function or the probability density function. In general, it is difficult to determine the survival function or hazard function of a population group with certainty. However, the survival function or hazard function can still be approximated by certain estimation methods. The Kaplan-Meier method can be used to find estimators of the survival function of a population. Meanwhile, to find the estimator of the cumuative hazard function, the Nelson-Aalen method can be used. From the variables studied, it turned out that the one that gave the most significant effect was the Bun variable, namely blood urea nitrogen levels using both the exponential and weibull distribution. However, by using the weibull distribution, the presence of Bence Jones Protein in urine also has a quite real effect

scholarly journals Basic Equations and Computing Procedures for Frailty Modeling of Carcinogenesis: Application to Pancreatic Cancer Data

2013 ◽  
Vol 12 ◽  
pp. CIN.S8063 ◽  
Author(s):  
Tengiz Mdzinarishvili ◽  
Simon Sherman
Keyword(s):  
Pancreatic Cancer ◽  
At Risk ◽  
Hazard Function ◽  
Survival Function ◽  
Population Level ◽  
Time Shift ◽  
Cumulative Hazard ◽  
Cancer Data ◽  
Weibull Pdf ◽  
Basic Equations

Modeling of cancer hazards at age t deals with a dichotomous population, a small part of which (the fraction at risk) will get cancer, while the other part will not. Therefore, we conditioned the hazard function, h( t), the probability density function (pdf), f( t), and the survival function, S( t), on frailty α in individuals. Assuming α has the Bernoulli distribution, we obtained equations relating the unconditional (population level) hazard function, hU( t), cumulative hazard function, HU( t), and overall cumulative hazard, H0, with the h( t), f( t), and S( t) for individuals from the fraction at risk. Computing procedures for estimating h( t), f( t), and S( t) were developed and used to ft the pancreatic cancer data collected by SEER9 registries from 1975 through 2004 with the Weibull pdf suggested by the Armitage-Doll model. The parameters of the obtained excellent fit suggest that age of pancreatic cancer presentation has a time shift about 17 years and five mutations are needed for pancreatic cells to become malignant.

The Position Of The Bank Indonesia As The Lender Of Last Resort After The Enactment Of Law No. 9 Of 2016 On Prevention And Mitigation Of Financial System Crisis

2017 ◽  
Vol 5 (4) ◽  
pp. 08-11
Author(s):  
Theresia Anita Christiani
Keyword(s):  
Data Analysis ◽  
Central Bank ◽  
Financial Services ◽  
Qualitative Data ◽  
Secondary Data ◽  
Jel Classification ◽  
Lender Of Last Resort ◽  
Short Term ◽  
Paper Review

Objective - This paper explores the role of the Indonesian Central Bank as the Lender of the Last Resort. Methodology/Technique - This research uses normative juridical research and secondary data. Findings - The results indicate that the Bank of Indonesian, in coordination with the Financial Services Authority, still has the authority to grant short-term loans for banks with liquidity issues. Nevertheless, the Bank of Indonesia does not have authority to provide emergency finance facilities where the funding is granted at the government's expense. Novelty - This paper uses normative juridical research and qualitative data analysis. Type of Paper - Review. Keywords: Authority, Bank, Crises, Position, Prevention, Indonesia. JEL Classification: K10, K20.

scholarly journals A Test of the Phase Model of Psychotherapy Change

2002 ◽  
Vol 47 (8) ◽  
pp. 759-766 ◽  
Author(s):  
Anthony S Joyce ◽  
John Ogrodniczuk ◽  
William E Piper ◽  
Mary McCallum
Keyword(s):  
Data Analysis ◽  
Change Process ◽  
Comparative Trial ◽  
Well Being ◽  
Trial Data ◽  
Phase Model ◽  
Subjective Well Being ◽  
Short Term

Objective: A comparative trial of 2 forms (interpretive and supportive) of short-term, time-limited individual (STI) therapy provided data that were used to test the propositions of the Howard and others phase model of psychotherapy change. Method: Patients completed the Integra Outpatient Tracking Assessment Form on 5 occasions during the 20-session treatments. The measure assesses 3 dimensions: subjective well-being, current symptoms, and current life dysfunction. Howard and others regard these as dimensions that represent successive phases in the therapy change process (that is, well-being improves first, followed by resolution of symptoms, and finally by change in long-standing life dysfunction). We conducted a test of their model, using their approach to data analysis. Results: The comparative trial data provided no support for the phase model. Conclusions: Possible explanations for the absence of confirmatory findings are considered.

scholarly journals ANALISIS PENGARUH KEBIJAKAN HUTANG TERHADAP KINERJA KEUANGAN

2020 ◽  
Vol 9 (1) ◽  
pp. 35
Author(s):  
Ari Triadi Wijaya ◽  
Muhammad Ali Fikri
Keyword(s):  
Data Analysis ◽  
Financial Performance ◽  
Stock Exchange ◽  
Sampling Technique ◽  
Free Variable ◽  
Short Term ◽  
Return On Equity ◽  
Total Debt ◽  
Research Population

This study aims to determine the effect of debt policy on  financial performance of coal companies listed on the Indonesia Stock Exchange. Policy debt is proxied by short term debt (STD), long term debt (LTD), and total debt (TD), while financial performance is proxied by return on equity (ROE). This research carried out for 3 (three) years, namely 2015-2017. This research is a causal research with a quantitative approach, whereas based on the level of exploration of this study, including associative research. Population research is a coal company listed on the Indonesia Stock Exchange for the period 2015-2017. Samples obtained were based on purposive sampling technique, and obtained 21 company. Data analysis technique used panel data regression. Regression with using the free variable short term debt (STD), long term debt (LTD), and total debt (TD). Based on the results of data analysis, STD has no significant effect on ROE. Variable LTD has a significant effect on ROE. The TD variable has no significant effect with ROE. so the STD and LTD variables are able to influence the ROE variable explained by other factors outside this research model.

Multiple Imputation in Survival Data Analysis

2021 ◽  
pp. 209-242
Author(s):  
Yulei He ◽  
Guangyu Zhang ◽  
Chiu-Hsieh Hsu
Keyword(s):  
Data Analysis ◽  
Multiple Imputation ◽  
Survival Data
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