• 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

Description

Looking for clarity in understanding statistical analysis in health studies? You’ve found the right place! Whether you’re a healthcare professional keeping up with advancements in your field or a medical student uncertain about conducting research, this course is for you. Gain confidence in comprehending statistical results like “confidence interval” and “p-value” and enhance your research abilities.

Statistics play a crucial role in designing, conducting, analyzing, and reporting clinical trials, minimizing bias and controlling confounding variables and measurement error. Understanding statistical techniques is vital in comprehending randomized trial procedures and outcomes. In this course, we cover important clinical statistical tests such as sensitivity, specificity, life tables, hypothesis, probability, hazard ratio, data types, distribution and its types, and more.


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In addition to the aforementioned topics, the course will also address practical applications of statistical analysis in real-life clinical scenarios. You will have the opportunity to work on case studies and hands-on exercises to apply the concepts learned. Dr. Muhammad will be available to provide individualized guidance and support to ensure your success in understanding and using statistical analysis in your work. Whether you are a healthcare professional, medical student, or researcher, this course will equip you with the skills and knowledge you need to confidently interpret and apply statistical analysis in your field.

This course provides a straightforward introduction to interpreting common statistical concepts without diving into complicated calculations. It includes information on SPSS usage, result interpretation, and interpretation. Take the first step in understanding the healthcare literature by gaining a solid foundation in these statistical ideas. Join us now!

English
language

Content

Introduction to Statistics for Health Professionals

Instructor Introduction
Types of Studies in Medical Research
Meta-Analysis and Systematic Literature Review

Key Definitions of Statistical Teminologies

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

Probability Distribution, Central Limit Theorem

What is ‘P’ value in Statistics
Defining ‘Probability’
Types of Probability
Probability Distribution
Central Limit theorem
Normal Distribution
Poission Distribution
Chi-square
T-distribution

Hypothesis Testing

Introduction to Hypothesis Testing
Null and Alternate Hypothesis
Type-1, Type-2 Errors
What is Confidence Interval

Parametric and Non-parametric Tests

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

Important Statistical Tests

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