Introduction to statistical analysis

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Introduction to statistical analysis

This course, “Introduction to statistical analysis “covers the basic Statistical Principles in terms of probability and hypothesis testing. Introduction to linear regression and model based inference.

Basic statistical Analysis is an essential skill for medical researchers. In this course, the basic Statistical Principles are discussed as follow:

Application of probability in medicine
Elementary laws of probability
Conditional probability and Bayes' Rule
Sensitivity, specificity, Positive and negative predictive value of a
Point and Interval Estimation for population parameters

Large sample CI for one-sample mean and proportion
Large sample CI for differences between means and proportions
Sample size for estimation
Test of Hypothesis

The concept of statistical power, P-value and level of significance

Student's t-test for one-sample and two-sample situations
ANOVA for one-way tables

Post Hoc tests and HOV tests
Sample size for significance and power analysis
Chi-square test for simple situations

Linear Regression

Scatter Plot and coefficient of correlation
Estimation of parameters for simple linear regression
Assessing the model with standard error, R-squared, and slope
Checking model assumptions

Extend the model to multiple linear regression

Basic Information:

Program Type:	Non-Degree Based
Level Of study:	Short-Term Course
School / Faculty:	Health
Department:	Epidemiology and Biostatistics
Major (Name Of Program):	Introduction to statistical analysis

This program contact information:

Telephone:	051-31892700
Fax:	051-38522775
Mobile:	09025004565
Email Address:	sakia@mums.ac.ir
Address:	Department of Epidemiology and Biostatistics, school of Health, Mashhad Uviversity of Medical Sciences, Mashhad, Iran
Contact Person Name:	Dr. Mohammad Taghi Shakeri

Program Detail:

Length of Training:	4 weeks
Language Requirement:	English
Admission Requirement:	B.S of statistics, M.s of all clinical field, Medical degree

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