Week 1 Flashcards
peta
P 10^15
tera
T 10^12
giga
G 10^9
mega
M 10^6
Kilo
K 10^3
HECTO
h 10^2
deca
da 10
deci
d 10^-1
centi
c 10^-2
milli
m 10^-3
micro
μ 10^-6
nano
n 10^-9
SI unit for length
m
SI unit for mass
kg
SI unit for volume
CM3
SI unit for temperature
K
SI unit for amount of material
mol
Inferential Statistics is…
used to draw conclusions about the data
population
group from which data is colelcted
sample
a subset of population
variable
feature characteristic differing in quality of quantity from one member to another
Categorical variables
variables with discrete or qualitative values
continuous variables
variables that can be measured along a continuum
Nominal
no intrinsic order
Ordinal
have order (categorical)
dichotomous
only 2 values
interval
continuous variable, has numeric value and is measure
Ratio
like interval, but value of 0 indicates there is nothing
chance
Caused by random variations in subjects and measurements. BIgger sample size reduces this and statistical analysis will handle it
bias
not caused by random variation but by systematic variation. Big sample size will not fix this
selection bias
biased sampling of population
measurement bias
systematic bias with poor mesurement technique
analysis bias
favoring one analysis over the other
confounding
misinterpretation of accurate variables
clinical trial ( non randomized)
Experimental study where exposure status is assigned by investigator
Randomized controlled trial
experimental, Clinical trial when assignement to an exposure is determined purely by chance
Cohort study
Observational, analytical study in which subjects with an exposure of interest and subject without the exposure, are identified and then followed forward in time to determine outcome
Case-control study
observational, analytical study that first identifies group of subjects with disease and a control group without disease and looks back in time to find exposure. Works well with rare diseases
Cross-sectional study
Observational, analytical study that is done to examine presence or absence of dx or presence or absence of exposure at a particular time. Often unlcear if exposure preceded the outcome.
Case report
Descriptive study that reports on single or series of patients with certain diseases. Study usually generates a hypothesis but cannot test a hypothesis because it does not include appropraite comparison group.
Confounding
Occurs when investigator falsely concludes that a particular exposure is causally related to a dx without adjusting for other factors that are known risk factors for the dx and are associated with exposure
Standard error of mean
describes amount of variability in the measurement of the population mean from several different samples. This is in contrast to standard deviation; which measures the variability of individual observations in sample
Incidence
number of new events that occur during a specified period of time
Incidence rate
number of new events that occur over the sum of time individuals in the population were at risk for having the event
Prevalence
number of persons in population affected by dx at specific time divided by persons in the population
Number needed to treat
number of patients to treat to prevent one adverse outcome. Reciprocal of absolute risk reduction
Sensitivity
ability of test to identify correctly those who have the disease
Specificity
ability of test to identify correctly those who do not have the disease
Predictive values
assesses how useful a test will be in the clinical setting
positive predictive value
probability of dx in patient with positive test
negative predictive value
probability patient does not have disease if he has a negative test result
Type 1 error (alpha)
probability of incorrectly concluding there is a statistically sig diff in population when none exists
Type II error
probability of incorrectly concluding that there is no statistically sig diff in population when one exists/
Newton’s First Law
Object in motion stays in motion
Newton’s Second Law
Object will stay in motion until acted on bya force F=MA
Newton’s Third Law
For every action there si an equal and opposite reaction
Mass unit
kg
Velocity Units
m/sec
Acceleration units
m/sec2
Force units
kg*m/sec2
mass equation
m=f/a