PDQ Epidemiology will help to fill the considerable gap between the exact findings of the laboratory and the uncertain world of clinical medicine. By translating the terminology of epidemiology into easy-to-understand language, the underlying scientific methods begin to emerge and make sense. The third edition reflects the maturation of the field, which now encompasses much more than the "randomized, controlled trial." New sections explain techniques that have been introduced into the field since the previous edition, the section on RCT has been expanded, and updated examples have been incorporated. The section on measurement has also been brought into line with newer thinking on reliability and validity.
Featuring unique examples titled Circular Reasoning and Anti-intellectual Pomposity Detectors (CRAP Detectors), the text helps the reader identify studies with basic flaws in design or reasoning.
What people are saying - Write a review
We haven't found any reviews in the usual places.
Introduction to Epidemiology
TRENDS IN EPIDEMIOLOGY
CURRENT APPLICATIONS OF EPIDEMIOLOGY
A DOSE OF REALITY
SOME BASIC CONCEPTS
SOME OTHER TERMS YOU SHOULD KNOW
ISSUES IN CHOOSING A MEASURE
TYPES OF VARIABLES
MEASUREMENT WITH CATEGORICAL VARIABLES
MEASUREMENT WITH CONTINUOUS VARIABLES
YET SOME MORE HISTORY
OTHER FORMS OF RANDOMIZATION
THREATS TO VALIDITY
Other editions - View all
actually agent allocation antibodies association bias biases bifocals blood breast cancer C.R.A.P. Detectors called cardiac case-control study causal cause cell phones Chapter cholesterol Clinical epidemiology cohort confounder consent control group coronary correlation criteria death determine develop diagnostic disorder drug effect ELISA endometrial cancer Enuresis epidemic Epidemiol estrogen ethical example experimental exposed exposure false positives Figure formaldehyde heart disease hospital hypothesis incidence increase infected intervention issue JAMA kids look lumpectomy lung cancer mean measles measure medicine methods mortality rate Negative Predictive Value observed outcome patients person physicians placebo population positive predictive value potential prevalence problem procedure Psychol random allocation random sampling randomized controlled randomized controlled trial reason relationship risk factor screening selection simply smoking statistical Streiner DL subjects syndrome Table therapy threats to validity tion toxic shock syndrome treatment trial UFFI variables women