commdent Flashcards
case studies vs case series
case studies - describes unusual case
case series - describes recurring unusual cases
cross-sectional studies - prevalence study or point study - cases are obsereved only at a point in time
prevalence vs incidence
prevalence - prevailing cases
incidence - new cases
comparative study between groups with disease and groups without disease
case-control studies
odds ratio - simply an association; what are the odds of having on condition
comparative study between groups wothout disease but with exposure variables and groups without disease and without exposure variables
cohort studies
risk ratio (RR) - how many acquires the disease
levels of prevention
prevention concepts and health/disease continuum by Leavell and Clark
Primary - prevent disease initiation
secondary - prevent disease progression and recurrentce
tertiary - prevention of loss of function
uses population-level data to examine the relationship between exposure rates and disease rates (levels of exposure)
Ecological study
provides a picture of the health status of a population at one point in time
cross sectional study or prevalence studies
compares the exposure histories of participants with and without a particular disease
case control study - identifies risk factors
follows participants over time to identify risk factors, uses incidence data
cohort study - can be retrospective or prospective
gold standard for assessing causality
experimental
Randomized control trials - some participants are randomly assigned to an intervention group and given an intervention; can be unblinded, single-blinded, double-blinded, or triple-blinded
an analysis of previous researches or publications on a specific topic
meta analysis / systematic review - offers new interpretations based on conclusions
used to gain insignt on participants attitudes, behaviours, concerns, motivations,
qualitative study - uses interviews, surveys, group discussions etc
entire group of individuals or items
population or universe
group where representative information is desired and to whom inferences will be made
target population
representative group to be tested/included in the research
sampling population
object or person observed or on which a measurement is taken
elementary unit
non-overlapping collection of elements or elementary units
sampling unit
list showing all the sampling units
sampling frame
probability of being selected as part of a sample is difficult to determine
non-probability sampling
purposive or judgment sampling
accidental or haphazard - who ever is available
quota sampling - until quota is reached
snowball - used for hidden populations or when gathering sensitive info (uses referral system)
non-zero chance for a participant to be included in the sample
probability sampling
simple random sampling - equal chance, fishbowl
systematic sampling - with sampling interval
stratified random sampling - divided into strata then simple random sampling is done per strata
cluster sampling - divided into clusters and every sample in the cluster becomes sampling units
multi-stage sampling - divided into groups and subgroups until desired stage
graph that compares data between two categories
bar graph
graph that shows trends over time/shows pattern
line graph
shows breakdown of a limited number of categories
pie chart
graph that compares how a whole is made up of components for two or more groups
component bar diagram
graph: frequency distribution of continuous variable
histogram (numerical, no gaps unlike bar graph)
graph that shows relationship between two quantifiable variables
scatter diagram
branches of statistics
descriptive stat - summarize and present data
inferential stat - concerned with making estimates, predictions, generalizations, conclusions
tendency of a measurable characteristic to change
variability
*statistics is needed to interpret variability or variation
the cause or the predictor; determines the value of the dependent variable
independent variable
effect or outcome; affected by the independed variable
dependent variabl
other variables that may affect the dependent var. but are not of importance to the researcher
confounding or control variable
*must be controlled for more reliable results
in between the dependent and independednt variable in the causal pathway
Intermediate variable – confounding variable caused by independent variable
levels of measurements of variables
CATEGORICAL
A. nominal
B. ordinal
CONTINUOUS
A. Interval - No true zero (temp in celcius)
B. ratio - can gave a value of zero (temp in Kelvin, money)
describes a set of data by identifying a central position within that set of data
measures of central tendency
mean - ave of all values
median - middle value when data are arranged
mode - most frequently occuring data
midrange - highest and lowest values divided by 2
spread of data points around the central value; helps understand the distribution of data
Measures of variation or Dispersion
1. range - difference bet max value and min value
2. variance - average squared deviation from the mean of the given data set
3. standard deviation - square root of the variance
4. coefficient of variation - ratio of the standard deviation to the mean
characteristics of a normal distribution curve or bell curve
mean median mode are equal
curve is symmetricak
follows 68-95-99.7