Sinusoidal Cox Regressionâ€”A Rare Cancer Example
Efird, Jimmy Thomas
Evidence of an association between survival time and date of birth would suggest an etiologic role for a seasonally variable environmental exposure occurring within a narrow perinatal time period. Risk factors that may exhibit seasonal epidemicity include diet, infectious agents, allergens, and antihistamine use. Typically data has been analyzed by simply categorizing births into months or seasons of the year and performing multiple pairwise comparisons. This paper presents a statistically robust alternative, based upon a trigonometric Cox regression model, to analyze the cyclic nature of birth dates related to patient survival. Disease birth-date results are presented using a sinusoidal plot with peak date(s) of relative risk and a single P value that indicates whether an overall statistically significant seasonal association is present. Advantages of this derivative-free method include ease of use, increased power to detect statistically significant associations, and the ability to avoid arbitrary, subjective demarcation of seasons.
Efird, Jimmy Thomas. (November 2010). Sinusoidal Cox Regressionâ€”A Rare Cancer Example. Cancer Informatics, 9(), 265- 279. Retrieved from http://hdl.handle.net/10342/5840
Efird, Jimmy Thomas. "Sinusoidal Cox Regressionâ€”A Rare Cancer Example". Cancer Informatics. 9:. (265-279), November 2010. August 20, 2018. http://hdl.handle.net/10342/5840.
Efird, Jimmy Thomas, "Sinusoidal Cox Regressionâ€”A Rare Cancer Example," Cancer Informatics 9, no. (November 2010), http://hdl.handle.net/10342/5840 (accessed August 20, 2018).
Efird, Jimmy Thomas. Sinusoidal Cox Regressionâ€”A Rare Cancer Example. Cancer Informatics. November 2010; 9(): 265-279. http://hdl.handle.net/10342/5840. Accessed August 20, 2018.