Actuarial method

2010 ◽  
Vol 2 (5) ◽  
pp. 631-634
Author(s):  
Nariankadu Shyamalkumar
Keyword(s):  
Actuarial Method

An Actuarial Method for Assessing the Direction of Influence Between Two Datable Life Events

1972 ◽  
Vol 1 (2) ◽  
pp. 243-270
Author(s):  
Lee N. Robins ◽  
Mitchell Taibleson ◽  
Susan M. LeVine ◽  
Marsha Richardson
Keyword(s):  
Life Events ◽  
Actuarial Method

Prognostic Role of Estrogen Receptor Determination in Breast Cancer

1983 ◽  
Vol 69 (6) ◽  
pp. 527-530 ◽  
Author(s):  
Stefano Ciatto ◽  
Patrizia Bravetti ◽  
Gaetano Cardona ◽  
Luigi Cataliotti ◽  
Roberto Crescioli ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Recent Literature ◽  
Disease Free Survival ◽  
Metastatic Breast ◽  
Prognostic Role ◽  
Free Survival ◽  
The Difference ◽  
Disease Free ◽  
Actuarial Method

The authors report on 283 primary, non-metastatic, breast cancer cases consecutively referred after surgery and followed-up from a minimum of 10 months to a maximum of 3.5 years. All cases were studied according to the presence of estrogen receptors (ER). ER presence was correlated with age and menstrual status, with ER+ cases more frequent in older patients. No correlation was found between ER and nodal status. Prognosis was evaluated in terms of disease-free survival at 2 years (actuarial method). No correlation between ER and survival was evident for N– cases, whereas a better prognosis was recorded for ER+N+ patients compared to ER-N+, although the difference was not statistically significant. The observed results are compared with recent literature data and agree with other recent reports, which did not confirm the previously undiscussed statement regarding the prognostic role of ER determination. According to these studies and to the present study, the prognostic role of ER determination seems at least questionable and particularly the postoperative adjuvant treatment of ER-N– cases should be reconsidered.

Negative incremental claims: chain ladder and linear models

1993 ◽  
Vol 120 (1) ◽  
pp. 171-183 ◽  
Author(s):  
R. J. Verrall ◽  
Z. Li
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Estimation ◽  
Lognormal Distribution ◽  
Linear Models ◽  
Likelihood Estimation ◽  
Loglinear Models ◽  
Run Off ◽  
Chain Ladder ◽  
Actuarial Method

AbstractThis paper considers the application of loglinear models to claims run-off triangles which contain negative incremental claims. Maximum likelihood estimation is applied using the three parameter lognormal distribution. The method can be used in conjunction with any model which can be expressed in lognormal form. In particular the chain ladder technique is considered. An example is given and the results compared with the basic actuarial method.

Long-Term Response to Ovariectomy in 35 Premenopausal Patients with Advanced Breast Cancer, Treated in Coherence with Hormonal Tests

1983 ◽  
Vol 69 (4) ◽  
pp. 343-347 ◽  
Author(s):  
Ferdinando Preda ◽  
Sara Oriana ◽  
Giovanni Di Fronzo ◽  
Giorgio Secreto ◽  
Aldo Severini ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Advanced Breast Cancer ◽  
Hormone Therapy ◽  
Locally Advanced Breast Cancer ◽  
Locally Advanced ◽  
Advanced Breast ◽  
Premenopausal Patients ◽  
Term Response ◽  
Actuarial Method

Thirty-five premenopausal patients with metastasized or locally advanced breast cancer underwent ovariectomy. At relapse, after surgery, they were treated with hormone therapy or chemotherapy, according to hormonal tests carried out before the castration. Five-year survival, computed with the actuarial method, confirmed the better prognosis of the hormone-dependent patients and also an improved prognosis in the patients treated with hormone therapy after ovariectomy. Furthermore, chemotherapy proved more efficacious: an increased survival was observed in the non-hormone-dependent patients.

scholarly journals Developing a clinically useful actuarial tool for assessing violence risk

2000 ◽  
Vol 176 (4) ◽  
pp. 312-319 ◽  
Author(s):  
John Monahan ◽  
Henry J. Steadman ◽  
Pamela C. Robbins ◽  
Eric Silver ◽  
Paul S. Appelbaum ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Clinical Utility ◽  
Psychiatric Patients ◽  
Classification Tree ◽  
Base Rate ◽  
Violence Risk ◽  
Violence Risk Assessment ◽  
High Degree ◽  
Actuarial Method

BackgroundA new actuarial method for violence risk assessment – the Iterative Classification Tree (ICT) – has become available. It has a high degree of accuracy but can be time and resource intensive to administer.AimsTo increase the clinical utility of the ICT method by restricting the risk factors used to generate the actuarial tool to those commonly available in hospital records or capable of being routinely assessed in clinical practice.MethodA total of 939 male and female civil psychiatric patients between 18 and 40 years old were assessed on 106 risk factors in the hospital and monitored for violence to others during the first 20 weeks after discharge.ResultsThe ICT classified 72.6% of the sample as either low risk (less than half of the sample's base rate of violence) or high risk (more than twice the sample's base rate of violence).ConclusionsA clinically useful actuarial method exists to assist in violence risk assessment.

scholarly journals АКТУАРСКИ МЕТОД ПРОЦЕНЕ ВЕРОВАТНОЋЕ НЕИЗВРШЕЊА ОБАВЕЗА ДУЖНИКА У БАНКАРСКОМ СЕКТОРУ

TEME ◽  
2021 ◽  
pp. 1499
Author(s):  
Јелена Кочовић ◽  
Жељко Јовић ◽  
Марија Копривица
Keyword(s):  
Credit Risk ◽  
Banking Sector ◽  
Probability Of Default ◽  
Ownership Type ◽  
Homogeneous Groups ◽  
Default Rates ◽  
Default Rate ◽  
The Republic ◽  
Business Entities ◽  
Actuarial Method

In countries with insufficiently developed capital market and a bankocentric financial system, the probability of default of banking clients can be estimated using an actuarial method. This method uses historical data from banking portfolios on the cases of debtors’ inability to meet their obligations towards the bank. In order to assess the level of credit risk and to identify its determinants, we calculated default rates by homogeneous groups of business entities as debtors, and by homogeneous groups of banks through the application of the actuarial method on empirical data from the banking sector of the Republic of Serbia. The research results show that there are differences in the level of credit risk, depending on the size of the business entity and its business sector, as well as that the entities with lower earning capacity, higher indebtedness and slower turnover of assets are more inclined to default. At the same time, it is shown that the default rate of bank varies depending on the ownership type, the bank’s size, profitability, capitalization and certain characteristics of its portfolio. The obtained results are the basis for analyzing the credit risk of certain categories of debtors and banks and for selecting variables that will be included in econometric models for assessing the level of credit risk in the banking sector in Serbia.

Sign in / Sign up

Export Citation Format

Share Document