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CRA Basics: What is Type I Error in Clinical Research?

Type I Error

False Positive

Clinical Research

Null Hypothesis

Statistics

Reliability

Validity

Treatments

Therapies

Interventions

Pre-testing

Replication Studies

Bias

Confounding Variables

Experiments

Independent Samples

Confidence

Data Collection

Analysis

Effect

Relationship

Significance

Correct Conclusions

Sample Size

P-value

Power Analysis

Research Methodology

Study Design

Data Quality

Experimental Design

Randomization

Blinding

Control Groups

Sample Selection

Автор: GCP-Mindset - All About Clinical Research

Загружено: 2023-05-10

Просмотров: 842

Описание: Join us as we explore the concept of Type I Error in Clinical Research. Type I error, also known as a false positive, occurs when a study finds a statistically significant result when there is actually no effect. This can have serious implications for making decisions about treatments and therapies. In this video, we'll define what Type I error is, explain why it's important in clinical research, give examples of Type I error, and provide tips on how to avoid it in your studies. Don't miss this informative video on the basics of Type I error in clinical research.

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