Sane AI Scholarship Program with Placement

Clinical Statistics

Introduction to Statistics

Types of data

Measures of central tendency and dispersion

Statistical Graphics

Probability and Probability Distributions

Binomial Distribution

Poisson Distribution

Normal Distribution

R Programming

Vectors

Objects that hold data

Data import and export

Data subsetting and combining

Commands related to Regression, Tests etc.

· Estimation Theory

Sampling Distribution

Point Estimation

Interval Estimation

Testing of Hypothesis

Inference about one population

Inference about two populations

Analysis of Variance

Non-parametric tests

Correlation

Scatter Plots

Correlation coefficient

Regression

Simple Linear Regression

Multiple Linear Regression

Regression Diagnostics

Logistic Regression

Survival Analysis

Kaplan–Meier estimator

Kaplan–Meier Plot