Rivas-Ruiz R, Pérez-Rodríguez M, Palacios L, Talavera JO

Language: Spanish
References: 6
Page: 308-315
PDF size: 289.92 Kb.

ABSTRACT

Decision making in health care implies knowledge of the clinical course of the disease. Knowing the course allows us to estimate the likelihood of occurrence of a phenomenon at a given time or its duration. Within the statistical models that allow us to have a summary measure to estimate the time of occurrence of a phenomenon in a given population are the linear regression (the outcome variable is continuous and normally distributed —time to the occurrence of the event—), logistic regression (outcome variable is dichotomous, and it is evaluated at one single interval), and survival curves (outcome event is dichotomous, and it can be evaluated at multiple intervals). The fi rst reference we have of this type of analysis is the work of the astronomer Edmond Halley, an English physicist and mathematician, famous for the calculation of the appearance of the comet orbit, recognized as the fi rst periodic comet (1P/Halley’s Comet). Halley also contributed in the area of health to estimate the mortality rate for a Polish population. The survival curve allows us to estimate the probability of an event occurring at different intervals. Also, it leds us to estimate the median survival time of any phenomenon of interest (although the used term is survival, the outcome does not need to be death, it may be the occurrence of any other event).

REFERENCES

1. Palacios-Cruz L, Pérez-Rodríguez M, Rivas-Ruiz R, Talavera JO. Investigación clínica XVIII. Del juicio clínico al modelo de regresión lineal. Rev Med Inst Mex Seguro Soc. 2013;51(6):656-61.

2. Pérez-Rodríguez M, Palacios-Cruz L, Moreno J, Rivas- Ruiz R, Talavera JO. Investigación clínica XIX. Del juicio clínico al análisis de covarianza. Rev Med Inst Mex Seguro Soc. 2014;52(1):70-5.

3. Kleinbaum D. Survival analysis: A self-learning text. Second edition. Berlin: Springer Science Business Media; 2005.

4. Kaplan EL, Meier P. Nonparametric incomplete estimation from observations. J Am Statist Assoc. 1958; 53(282):457-481.

5. Rivas-Ruiz R, Moreno-Palacios J, Talavera JO. Investigación clínica XVI. Diferencias de medianas con la U de Mann-Whitney. Rev Med Inst Mex Seguro Soc. 2013;51(4):414-9

6. Feinstein AR. Principles of medical statistics. New York, NY: Chapman and Hall/CRC; 2002.