1/101
Looks like no tags are added yet.
Name | Mastery | Learn | Test | Matching | Spaced | Call with Kai |
|---|
No analytics yet
Send a link to your students to track their progress
AHRQ
Agency for Healthcare Research and Quality
Alternative hypothesis
The alternative model that you want to consider.
Analysis Plan
What statistical test will be performed after the data is gathered to evaluate/analyze the data.
ANOVA
Used when you want to compare means of three or more independent groups.
Bayesian Approach
An extremely advanced mathematical process that applies probabilities to statistical problems.
Beneficence
In research ethics, states that researchers should have the welfare of the research participant as a goal.
Bivariate Analysis
The analysis of two variables to determine the empirical relationship between them.
CDC
Centers for Disease Control and Prevention
CLABSI
Central Line Associated Bloodstream Infection
CMS
Center for Medicare and Medicaid Services
Cancer Registry
Used to collect, analyze, and manage data on persons with malignant or neoplastic disease.
Case Study
An observation in which researchers investigate one person, one group, or one institution in depth.
Categorical Variable
Assume values that are names or labels.
Central tendency
The typical values occurring in the middle of a distribution.
Chi-square Test
Used when comparing values of what you expect versus what you observe.
Cluster Analysis
A statistical technique used to identify how various units can be grouped together because of characteristics they have in common.
Cohort Study
A study used to investigate the causes of disease or establishing links between risk factors and health outcomes.
Confounding Variable
A variable that obscures the effect of another variable.
Continuous Variable
A measure score in which each individual value can fall anywhere along a continuum.
Correlation Coefficient
Measures strength and direction of a linear relationship between two variables on a scatterplot.
Correlational research
Looks for relationships between the data.
Cross-Sectional Study
Analyzes data collected from a population or subset at a specific point in time.
Data Collection
Where is the data coming from to support the research?
Data Warehouse
Used for advanced data mining and has a huge amount of data.
De-identified
Their personal identifiers are removed to prevent the identification of other people, protecting their privacy.
Demographic Statistic
Looking at a specific population or group.
Dependent Variable
What is going to change (or not) as a result of research or intervention.
Descriptive Statistics
Describe what the data show about the characteristics of a sample.
Descriptive Research
Describes the current status, using surveys or observation to gather your data.
Dichotomous Variable
Also called a binary variable. It occurs in one of two possible states.
Dimensional Analysis
Analysis using facts of physical quantities added to or equated with each other, expressed of the same fundamental quantities.
Evaluation Research
Done to evaluate effectiveness, and you would use case studies.
Experimental Research
Looks for cause and effect, this would be the type of research done using studies such as clinical trials.
F test
Used for equality of variance when comparing statistical models fitted to a data set.
Factor Analysis
A statistical technique that reduces a large set of variables into a smaller number of factors by extracting their commonalities.
Fidelity
Refers to the concept of keeping a commitment and is based upon the virtue of caring.
Flat File
Simple and widely used for data exchange and processing because it's easy to manipulate across different platforms.
Focus Group
Group of people assembled to participate in a guided discussion about a particular product or process.
Frequency Distribution
Values that a variable can take, and number of observations associated with each value.
HCAHPS
Patient satisfaction survey required by CMS for all U.S. hospitals containing 29 questions about their recent hospital stay.
HRSA
Health Resources and Services Administration, federal agency for improving healthcare to people without insurance, economically, or medically vulnerable.
Healthy People 2030
Provides set of objectives with data to improve health and well-being over the next decade.
Incidence
The rate of new or newly diagnosed cases of the disease occurring within a period of time.
Independent Variable
Has an effect on dependent variable. It is what you are controlling.
Indirect Observation
Relying on the reported observations of others.
Inferential Statistics
Help us make inferences or guess about a larger group of data by drawing conclusions from a small group of data.
Justice
The fair selection of research participants, ideal distribution of risks and benefits in clinical research.
Linear Regression
Used to study the related groups between a dependent variable (risk of skin cancer) and one or more independent variables.
Literature Review
Large-scale survey of families and individuals, their medical providers and employers.
MEPS
Medical Expenditure Panel Survey; most complete source and use of data on cost and use of healthcare and insurance coverage.
Maleficence
Describes a practice which opposes the welfare of any research participant.
Mean
Arithmetic average.
Median
Midpoint (center) of distribution of values.
Meta Analysis
A more comprehensive use of existing data and statistical analysis to apply to a problem.
Mode
Value that occurs most frequently in the data.
Multidimensional
Different users working on different components on a database.
Multiple Regression
Using more than one variable to predict the response.
NPDB
National Practitioner Data Bank; system that manages reports containing information on medical payments and certain adverse actions related to healthcare practitioners.
Null Hypothesis
States that the two groups we are studying are the same.
Object-Oriented
Stores text, audio, videos, images, and other objects.
Odds Ratio Analysis
Measure of association between an exposure and an outcome.
One Sample T-test
Determines if two sets of data are significantly different from each other.
Ordinal Variable
Order matters, but not the difference between values.
P-value
The level of probability; the lower it is, the less probability that the results occurred by chance.
Paired T-test
Used to compare the means of two samples when each observation in one sample can be paired with an observation in the other sample.
Parameter
Summarizes a population (the entire group you are interested in investigating).
Pearson's Correlation Coefficient
A test for relationship between two quantitative variables that are interval or ratio data types.
Plagiarism
The uncredited use (both intentional and unintentional) of somebody else's words or ideas.
Population of Study
A group of individuals taken from the general population who share a common characteristic.
Predictive Modeling
Process used to identify patterns that can be used to predict the odds of a particular outcome based on the data gathered.
Pretest-Post test
A quasi-experiment where participants are studied before and after the experimental manipulation.
Prevalence
The actual number of cases alive with the disease during a period of time.
Qualitative Data
Descriptive data based on observations involving 5 senses.
Quantitative Data
Numerical data which are discrete (counting based on whole number) and continuous (measurement based on distance from any number).
Randomized Control Trial
People are allocated at random to receive one of several clinical interventions.
Randomized Statistic
Using chance methods to assign subjects to a study.
Range
Measure of spread - the difference between the largest and smallest values in a frequency distribution.
Ratio
Different ways to express the same proportion, such as 6:10 or 60%.
Regression Analysis
Statistical method that helps researchers understand and predict relationships between multiple variables.
Relational Database
Data stored in various tables where each table has a field that connects it to other tables.
Research Design
The type of study being done and how the research is constructed to achieve the researchers' purpose.
Research Identified
Data collected from participants that can be linked back to them.
Research Methodologies
Different designs used in research, both qualitative and quantitative.
Retrospective Study
Studies a cohort of individuals that share a common exposure factor to determine its influence on disease development.
Risk Stratification
Assigning a risk status to a patient to define or direct care.
Sample Size
Numbers include the number of patients who begin a study and the number who complete it.
Sensitivity Analysis
A technique used to understand how changes in independent variables impact a specific dependent variable.
Standard Deviation
Measures variability which describes the deviation from the average of a frequency distribution.
Stratification Analysis
A process of dividing members of a population into homogeneous subgroups before sampling.
Study Population
Who is being studied in the research.
Time-Series Analysis
A sequence of data taken at equally spaced points in time to predict future values.
Transactional Database
Retrieves values for patients that roll back to originally stored information due to power loss or hacking.
Trauma Registry
Used to collect, analyze, and manage data on trauma patients with injuries.
Two Sample T-test
Compares two independent groups to draw conclusions about the effectiveness of each intervention.
U-test (Mann-Whitney U test)
Used when data do not follow a normal distribution or when sample sizes are small.
Variable
A characteristic that can have different values, counted, measured, or categorized.
Z-test
Used to compare the means of two groups when population variances are known and sample size is large.
Non-parametric Test
Tests that make no assumptions about the parameters of the population distribution.
Parametric Statistical Test
Tests that make assumptions about the parameters of the population distribution from which data are drawn.
Population Parameter
When a value in a population is known.