Statistical Applications of Survival Data Analysis for Breast Cancer Data

Shaik, Ahammad Basha; Venkataramanaiah, M.; Thasleema, .

doi:10.26634/jmat.4.2.3499

Cited by 1 publication

(2 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These studies also present applications in breast cancer counselling and prevention. As reported by Shaik et al, (2015) women within the age group 30-50 are 3.704 more likely to have breast cancer, as found in our case (age group 35-50 years). In close comparison with our findings, age factor and the point of change at diagnosis has been reported at 50 years by Abdollabi et al, (2016).…”

Section: Discussionsupporting

confidence: 88%

“…Many studies have reported that methods of personalization or modelling applied for screening of breast cancer, although associated with its own benefits and harms, may make a vital change towards its early detection (Onega et al, 2014;Vilaprinyo et al, 2014). Many authors (Gail et al, 1989;Benichou et al, 1996;Tyrer et al, 2004;Shaik et al, 2015;Usman et al, 2014;Armero et al, 2016) have developed risk models employing different risk factors associated with the disease to estimate the risk of developing breast cancer of an individual. However a review of these models questioned their utility because of their low discrimination power (Anothaisintawee et al, 2012).…”

Section: Research Articlementioning

confidence: 99%

See 1 more Smart Citation

Estimating Risk of Breast Cancer Occurrences at Different Ages: Application of Survival Techniques

Rajbongshi

Nath

Mahanta

2018

Asian Pac J Cancer Prev

View full text Add to dashboard Cite

Background:Awareness is the primary means to control breast cancer occurrence. The purpose of the present work is to study the risk of breast cancer occurrence in different age group, for the study area, Assam, India, by means of survival analysis techniques.Methods:Survival and hazard functions are key concepts in survival analysis for describing the distribution of event times. In the present research a new individialized model has been proposed for cumulative hazard function, taking gamma probability distribution as probability distribution of breast cancer occurrences. Kaplan Meier Survival method has been applied to find out the probability of diseases occurrence in the early menarche and late menarche group. The data used for implementation were collected from the Record Department of a prime local cancer institute, for the period 2010-2012. The information for the risk factor age at menarche were collected from the patients registered during August 2011 to February 2012.Results:The study reveals that in the study area, cumulative hazard of the women belonging to 35 to 50 years is higher than the early and late aged women. The cumulative hazard plot with shape parameter 0.5, 1 and 10 shows that cumulative risk for early aged women are greater than the late age women but when this values is increased from 10, the opposite trend is observed. Further, the median age of disease occurrence among early menarche group is 52 years and for late menarche it is 54 years.Conclusion:The model developed could successfully point out the age group for women lying at higher risk of breast cancer occurrence. Additionally the important risk factor, age at menarche, was effectively applied to supplement to this calculation. It is hoped that practical use of this method would enhance not only awareness but also early detection of the said disease.

show abstract

Section: Discussionsupporting

confidence: 88%