• Post category:StudyBullet-13
  • Reading time:5 mins read


Sensitivity, Specificity, Hazard Ratio, Life Tables, Clinical Statistic, SPSS, SPSS Result Interpretation & Reporting

What you will learn

Fundamentals of Clinical Statistics

Hazard Ratio, Sensitivity, Specificity, Life Tables

Hypothesis Testing, Sampling, Population, Confidence interval

Central Limit Theorem, Probability, Distribution

ANOVA, Regression, Correlation, Hierarchical Regression

Distributions: Normal, Poission, Chi-square, t-distribution

Errors in hypothesis testing: Type-1 error, Type-2 error

Description

You’ve come to the correct place if you’ve ever glanced over the results section of a medical study because words like “confidence interval” or “p-value” confuse you. You might be a clinical practitioner who reads research publications to stay current on advancements in your area of expertise or a medical student who is unsure of how to do their own research. Both working professionals and those conducting their own research might gain from having more confidence in their comprehension of statistical analysis and the results.

Any clinical trial’s design, conduct, analysis, and reporting all depend heavily on statistics for minimizing and managing biases, confounding variables, and random error measurement. Mastering statistical techniques is essential to comprehending the procedures and outcomes of randomised trials. We covered many important clinical statistical tests like Sensitivity, Specificity, Life Tables, Hypothesis, Probability, Hazard Ratio, Data Types, Distribution and its types and many other basic statistical test.


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This course is a good place to start if you want to learn about clinical statistics including SPSS usage, result interpretation and interpretation. Without delving into complicated calculations, it provides a simple introduction to interpreting popular statistical ideas. The greatest method to delve into the world of clinical literature is to be able to interpret and comprehend these ideas. This course fills that need, so let’s get started!

English
language

Content

Introduction to Statistics for Clinical Research

Introduction of Instructor
Different Types of Student in Clinical Research
Difference between Meta-Analysis and Systematic Literature Review

Measure of Central Tendency, Key Definition and Data Types

Population, Sample, Inferential Statistics
Data Types in Clinical Statistics
Data Types: Discrete and Continuous variable
Measure of Central Tendency
Mean, Mode and Median

Probability, Distributions in Clinical Statistics, Central Limit Theorem

P-value in Clinical Research
Probability
Types of Probability
Central Limit theorem: Heart of Statistics
Probability Distribution
Normal Distribution
Poission Distribution
Chi-square
T-distribution

Hypothesis Testing in Clinical Research

Introduction to Hypothesis Testing
Null and Alternate Hypothesis
Errors in Hypothesis Testing – Type-1, Type-2 error
Confidence Interval in Statistics

Parametric and Non-parametric Tests

Introduction to Parametric and Non-parametric Tests
Student’s T- test
Analysis of Variance – ANOVA
Chi-Square
Correlation Analysis
Regression Analysis

Important Clinical Statistical Tests

Hazard Ratio
Risk and Odd Ratio’s
Number needed to Treat and Harm
Life Tables
Sensitivity, Specificity, Predictive Values