Related Experiment Video
Updated: Nov 12, 2025
06:55
Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
14.9K
Biostatistics: essential concepts for the clinician
Darlyane Torres1, David Normando2
1Universidade Federal do Pará, Programa de Pós-Graduação em Odontologia (Belém/PA, Brazil).
Dental Press Journal of Orthodontics
|March 17, 2021
Summary
Understanding biostatistics is crucial for orthodontists to practice evidence-based orthodontics. This guide simplifies essential biostatistics concepts and provides a tool for selecting appropriate statistical tests for research.
Area of Science:
- Orthodontics
- Biostatistics
- Scientific Research Methodology
Background:
- Clinical efficiency relies on integrating practical and theoretical knowledge.
- Orthodontists must discern impactful information from daily data for effective practice.
- Evidence-based orthodontics necessitates understanding biostatistics for interpreting research.
Purpose of the Study:
- To clarify essential biostatistics concepts for orthodontists.
- To aid clinicians in understanding scientific research for evidence-based practice.
- To present an updated tutorial for selecting appropriate statistical tests.
Main Methods:
- Review of fundamental biostatistics principles.
- Development of a practical guide for statistical test selection.
- Explanation of concepts for data analysis, including correlations and regressions.
Main Results:
- Provides foundational biostatistics knowledge for clinicians.
- Offers a tool to assist in choosing correct statistical analyses.
- Addresses common statistical queries relevant to orthodontic research.
Conclusions:
- Researchers and clinicians need core biostatistics knowledge for accurate analysis.
- Proper statistical application is vital for research integrity.
- Readers and reviewers should identify and question inappropriate statistical methods.
Related Concept Videos
01:19Overview of Biostatistics in Health Sciences
3.8K
Biostatistics involves the application of statistical techniques to scientific research in health-related fields, including biology and public health. These techniques are essential for designing studies, collecting data, and analyzing it to draw meaningful conclusions. Given the complexity of biological processes, particularly in studies involving human subjects, biostatistical methods are crucial for effectively organizing and interpreting data that might otherwise obscure underlying patterns...
3.8K
01:20Biostatistics: Overview
464
Biostatistics plays a crucial role in understanding and analyzing data in healthcare and biology. Biostatisticians conduct experiments, gather evidence, and draw meaningful conclusions using statistical methods and techniques. Different variables form the foundation of biostatistical analysis, allowing researchers to understand and interpret data effectively. These variables are classified into different types, each serving a specific purpose in statistical analysis.
Discrete variables are...
Discrete variables are...
464
01:12Statistical Software for Data Analysis and Clinical Trials
1.1K
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.1K
01:23Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
249
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
249
01:25Statistical Methods for Analyzing Epidemiological Data
694
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
694
01:26Introduction to Epidemiology
1.3K
Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
1.3K