Regis NU-713 Final Exam 2025 EXAM QUESTIONS
|FREQUENTLY TESTED QUESTIONS ||VERIFIED
SOLUTIONS (100% CORRECT)
180 patients were treated 54.8%
for disease X from 2007 to
2009. Their progress was
followed to 2010.
Treatment results are given
in the table. No patients
were lost to follow up.What
is the computed probability
of surviving for three
years?
The most likely the initial examination measures the prevalence of
explanation for the ASHD, whereas the subsequent examinations
differences in rates of primarily measure the incidence of ASHD
ASHD between the initial
examination and the yearly
follow-up examinations in
men is that _______ _.
The relative risk for lowest in the oldest age group
developing ASHD
subsequent to entering the
study in men as compared
to women is ____ _.
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, 8/8/25, 11:51 PM Regis NU-713 Final Exam 2025 EXAM QUESTIONS |FREQUENTLY TESTED QUESTIONS ||VERIFIED SOLUTIONS (100% COR…
the simplest way of computing the survival over time in
spite of all these difficulties associated with subjects or
Kaplan-Meier Method formula
situations. For each time interval, survival probability is
calculated as the number of subjects surviving divided
by the number of patients at risk
The means for obtaining information about subjects is
Information bias
inadequate, and outcomes are incorrect
May result in erroneous estimates of the relative risk or
Surveillance bias
odds ratio by paying closer attention to a monitored
population
It has been suggested that surveillance bias
physicians may examine
women who use oral
contraceptives more
often or more thoroughly
than women who do not. If
so, and if an association is
observed between phlebitis
and oral contraceptive
use, the association may
be due to:
Plot of data showing effects of various doses of a toxic
dose-response curve
agent on a group of test organisms.
occurs when the null hypothesis is rejected when the null
hypothesis is true.
Type I error (α error)
Before conducting your study, you must choose an
acceptable level of Type I error (commonly 1% or 5%).
This determines your cut point for your Type I error.
occurs when the null hypothesis is not rejected when the null
Type II error (β error) hypothesis is false.
In other words, there is a difference but the study did not find it.
1-α confidence level
1-β power test
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