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BBS1006 concepts


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incidence
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occurrence, rate, frequency of an undesirable thing

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Incidence
Occurrence, rate, frequency of an undesirable thing
Prevalence
How common a disease/condition is, commonness
Diagnostic study
Study to examine an individual(/population) to determine a disease, condition or illness. e.g. biopsy or prenatal testing
Prognostic study
Study in which a population is followed over a period of time, factors that might influence outcomes are measured over that period
Observational study
Study in which the effect of risk factors are observed, without interfering with it
Experimental study
Study where researchers introduce an intervention and study the effects. e.g. administering different drugs to different groups of patients and observing the effects
Cross-sectional study
Study where the data is collected at a certain time point from a sample population
Longitudinal study
Study with repeated observations of the same variables over a period of time. e.g. five-year study of children learning to read
Ecological study
A type of observational study, but at population or group level, not at individual level. often used to measure prevalence of disease, especially when the condition is rare
Case-control
Type of observational study in which two groups that differ in outcome are identified. they are then compared to find something that caused the difference
Cohort
A group of people that share a characteristic
Sample
A group of people that are taken from a larger population
Competing interests
Anything that interferes with the objectivity of an article/publication. e.g. funding by someone who might profit
Associated
Related to, connected to
Risk for
The possibility that something (bad) will happen
Absolute risk
The ratio of people who have a condition compared to all the people who could have that condition at a certain time point. e.g. 40 have the condition and 200 do not, absolute riks is 20%
Relative risk
The ratio of probability of an exposed group of people compared to a non-exposed group. e.g. risk of getting cancer for smokers and non-smokers. (comparing the risks of two groups).
Internal validity
Extent to which a study shows a trustworthy cause-and-effect relation between a treatment and outcome
External validity
Extent to which the findings of a study are generalized to other situations and people, meaning are the results of a study also applicable to other situations
Modifiable risk factor
Factors, which can be changed, that can increase someone's chance to develop a certain condition. e.g. blood pressure
Mortality risk / mortality rate
Measure of the death in a certain population in relation to the size of that population per unit of time. e.g. units of death per 1000 individuals per year. so a mortality rate of 9.5 in a population of 1000 would mean 9.5 deaths per year.
Informed consent
Competently given consent after a professional explains the risks, benefits and alternatives of procedures
Inclusion criteria
Required features that people/patients must have to be able to participate in the study
Pooled serum
The mixed serum of a number of individuals. serum is the fluid component of blood that does not play a role in blood clotting
Reference and index test
A diagnostic test that is being evaluated against another test, for reference
Screening tests
A test to detect a potential disease in someone that does not have symptoms
Reliability (of a study/measure)
The degree to which the result of a study/measurement can be depended on to be accurate, quality of being trustworthy
Accuracy
The degree to which the results of a study/measurement come close to the correct value
Reproductibility
The ability of something to be replicated/copied, the extent to which consistent results are obtained when an experiment is repeated
Precision
Condition of being exact and accurate
Validity (of study/measure)
The extent to which a concept is accurately measured in a quantitative study, the quality of being factually sound
Sensitivity
The true positive rate; it measures the proportion of positives that are correctly identified. e.g. diseased people who are actually identified as diseased
Specificity
The true negative rate; it measures the proportion of the negatives that are correctly identified. e.g. non-diseased people that are actually identified as healthy
Gold standard method
A method that has been tested repeatedly and has a reputation of being a reliable method in the field
Variation/variability
Change or difference in condition, e.g. when we measure something over and over again and get different results. lack of consistency
Coefficient of variation
Ratio of the standard deviation to the mean. the higher the coefficient variation, the greater the level of dispersion around the mean, so the greater the variation.
Bias
Inclination towards a certain group. research bias -> when the researcher skews the study outcome to a specific result
95% confidence intervals
A statistical estimate. when you take 100 samples and compute a confidence interval on them, approximately 95 of them will contain the true (mean) value. a range in which the mean is located
Daily repeat analysis
An analysis that is done every day to see what changes
Median difference
The middle value when you put all the data from smallest to largest. the median difference is the difference between the medians of two groups (?)
Median
The middle value when you put all the data from smallest to largest, the number for which half the observations are smaller and half are larger
Interquartile range (IQR)
The difference between the upper and lower quartiles, this is the middle 50% of the data
Reference change value (RCV)
It defines the minimal significant difference between two measurements at different time points
Randomly assigned
Placing participants into groups without method or conscious decision
Baseline
A fixed point of reference used for comparison
Post-training / post-exercise
To describe something that is done after a training/sport period e.g. measurements or analysis
Follow-up
Something e.g. measurements done to investigate something further
Randomized controlled trial (RCT)
Study in which participants are randomly placed in groups to test the effectiveness of new treatments
Randomization
A method based on chance alone by which participants are assigned to a (treatment) group
Random allocation
The assignment of participants into different groups in an unpredictable way
Random selection
The choosing of subjects based on chance alone
Pseudo-random sampling
Generating pseudo-random numbers that are distributed along a probability distribution
Two parallel arm
A study design that compares two treatments; group 1 only receives treatment A and group 2 only receives treatment B
Cross-over
A longitudinal study in which participants receive a sequence of different treatments; group 1 receives treatment A and B and group 2 receives treatment A and B
Counterbalancing
Neutralizing or canceling out
Enforcing allocation concealment
A technique that prevents researchers from influencing which participants are assigned to which group, it prevents selection bias in a RCT
Enrolled
Officially registered as a member of an institute or participant of a course
Dropped out
Not participating in a study or course anymore
Lost to follow-up
Participants that started in the study but were not present/participating during the follow-up of th study
Exclusion criteria
Any characteristic of a potential subject that would hinder them from participating in the study
Complete-case analysis
A method of dealing with incomplete data; it means only using the completed cases/data, leaving out the incomplete data
Intention to treat analysis (ITT)
A method of dealing with incomplete data; it estimates the missing follow-up values from dropped out participants so that these values can be used
Studies did not include a comparison group
The comparison groups are the groups between which a statistical comparison has to be made
Compliance
How well the participants were following the instructions of the experimenter
Eligibility
The state of having the right to do something or obtain something e.g. someone over 18 is eligible to drive
Setting
The place or surroundings (where a study takes place)
Interventions
Action taken to improve an medical condition/disorder (in an experimental study)
Treatment
Medical care given to a patient for an illness or injury
Placebo
A substance that has no therapeutic effect on a patient (while the patient might think it does), used as a control in testing new drugs
Outcome measures
Determination and evaluation of the results of an activity, plan or process and their comparison with the intended results
Blinding
When information about the test is masked as to not influence the one working with it, to reduce bias
Masking
Conceal from viewing
Generalisability
To make generally applicable e.g. to use the results of a study on a general population
Systematic error, random error and noisy data
Systematic error -> a consistent, repeated error associated with faulty equipment random error -> unpredictable and unavoidable errors/mistakes noisy data -> data that is corrupt or distorted
Systematic error and bias
Any deviation from the truth in a collection of data which can cause false conclusions
Confounding
Cause surprise or confusion e.g. confounding variables -> other variables than that the researcher is studying
External and internal validity
External validity -> the extent to which the results of a study can be generalized to other situations and to other people internal validity -> the extent to which a causal conclusion based on a study is justified, which is determined by the degree to which a study minimizes systematic errors
Test and experimental validity
Test validity -> the extent to which a test measures what it's supposed to measure experimental validity -> refers to the manner in which variables influence both the results of the research and the generalisability to the population at large
Face and construct validity
Face validity -> the extent to which a test is subjectively viewed as covering the concept it claims to measure construct validity -> the degree to which a test measures what it claims to be measuring
Content and criterion validity
Content validity -> refers to the extent to which a measure represents all facets of a given construct criterion validity -> the extent to which a measure is related to an outcome. it can be divided into concurrent and predictive validity
Concurrent and predictive validity
Types of criterion validity concurrent validity -> refers to a comparison between the measure in question and an outcome assessed at the same time predictive validity -> compares the measure in question with an outcome assessed at a later time
Reliability (instrument, interrater, intrarater)
The quality of being trustworthy or performing consistently well. Instrument reliability -> the trustworthiness of equipment used. Inter-rater reliability -> degree of agreement among raters/judges Intra-rater reliability -> degree of agreement determined by repeated measurements done by a single rater.
(pre-)stratification
The division of the subjects and results by a factor other than the treatment factor e.g. weight or gender
Effect modifier (homogeneity in prognostic factors)
A factor that alters the effect of a putative causal factor in a study e.g. age is a modifier for many conditions
Temporal improvements
Improvements that are only helpful for a relative short period of time, ask yourself is there an effect over time?
Trial design
The way the protocol of a research is build up
Control
A group used as the comparison to the experimental group, it does not have the conditions the experimental group is tested on
Quality control
Set of activities that control the quality of a product or study e.g. inspection or peer review
Trial
A test of performance or quality of something
Experiment
Procedure to test a hypothesis
Pre-experiment
The simplest research design, either a single group or multiple groups are observed
Quasi-experiment
Empirical interventional study used to estimate the causal impact of an intervention on target population without random assignment
Pretest-posttest
In a pretest and posttest design, measurements are taken before and after a treatment. this shows you the effect of a treatment on the study population
Time series
All the data points collected over a definitive time are visualized in a table/graph in time order
One-shot case study
Design where only a single group is tested for one measurement, there is no control group and there are only posttest results
One-group pretest-posttest
Design where one single group is tested before and after a treatment, there is no control group
Static group comparison
Two groups are involved in the experiment, but only one group receives the treatment, the other is the control. only posttest results are taken
Threats to internal and external validity
The decrease in reliability of this validity
Pilot
Small-scale study to save money and time, to improve the study design before the full scale study
Contamination
Unwanted impurity in the results