title: Biostatistics primer: what a clinician ought to know--prognostic and predictive factors.
abstract: Several prognostic factors in oncology have been established over the years, such as performance status, tumor size, and disease stage. The identification of prognostic and predictive factors is becoming increasingly important in medical research, particularly as scientific discoveries have led to better understanding of diseases and genetics, resulting in tailored therapy. Advances in drug discovery and better understanding of the mechanism of action, may also identify factors that may be prognostic and/or predictive. Prognostic or predictive factors may include patient characteristics such as age, ethnicity, sex, or smoking status, disease characteristics such as disease stage or nodal status, and molecular markers such as HER2 amplification and K ras mutation.It can be challenging to distinguish whether a factor is prognostic or predictive, based on what is reported in the literature. This article is intended to help the reader assess whether a factor is prognostic and/or predictive.
authors.affiliation: Statistics and Information Sciences, Eli Lilly and Company, Toronto, Ontario, Canada.
authors.forename: Lorinda
authors.initials: L
authors.lastname: Simms
authors.forename: Helen
authors.initials: H
authors.lastname: Barraclough
authors.forename: Ramaswamy
authors.initials: R
authors.lastname: Govindan
mesh_terms: D056808:Biostatistics; D002983:Clinical Competence; D003627:Data Interpretation, Statistical; D006801:Humans; D009369:Neoplasms / Q000175:diagnosis* / Q000401:mortality / Q000628:therapy*; D017410:Practice Guidelines as Topic; D011379:Prognosis; D015996:Survival Rate