The discipline that applies statistical methods to analyze healthcare data, aiding in decision-making and policy formulation.

Research studies conducted to evaluate the effectiveness and safety of medical interventions in humans.

The measurable effects or results of a medical treatment on patients, often assessed through statistical analysis.

The use of data analysis tools and techniques to derive insights from healthcare data for improved decision-making.

The process of presenting statistical findings in a clear and concise manner, often using visual aids.

The systematic gathering of information from various sources to be used for statistical analysis.

The accuracy and consistency of data over its lifecycle, critical for reliable statistical analysis.

Instances where data points are absent in a dataset, which can affect statistical analysis outcomes.

An approach to analyzing datasets to summarize their main characteristics, often using visual methods.

Procedures used to determine if there is a significant effect or relationship in data, such as t-tests or ANOVA.

Principles guiding the conduct of research, ensuring respect for participants and integrity in data handling.

Graphical formats (like charts and graphs) used to present data findings clearly and effectively.

A process where colleagues evaluate each other's work to ensure quality and accuracy before publication.

A method of comparing different datasets or studies to identify similarities and differences in findings.

The practice of openly sharing data and methodologies to enhance the credibility of research findings.

Standards that dictate the ethical conduct of research, ensuring the welfare of participants and integrity of results.

A concise overview of a report's key findings and recommendations, aimed at decision-makers.

The practice of keeping detailed records of data handling and analysis methods for transparency and reproducibility.

The skill of effectively conveying statistical results to stakeholders, ensuring clarity and relevance.

Decisions and actions taken by governmental or organizational bodies to manage healthcare systems and services.

Clinical practices that are based on the best available evidence, often derived from statistical analysis.

The ability to interpret and manipulate data to draw meaningful conclusions, essential in healthcare statistics.

A thorough and precise examination of data, ensuring validity and reliability in statistical conclusions.

The practical use of statistical methods in actual healthcare settings to improve patient outcomes.