Lecture Experiments

Lecture 5 Design of Experiments and Confidence

In this lecture I’d like to discuss some very general considerations having to do with design of experiments, relating them to the linear regression model and eventually to their implications for making inferences about models with elliptical confidence regions. In light of these considerations, it is perhaps useful to review some basic facts about confidence regions for parameters in the class...

cong-cam-mums-Lecture

Causal Inference Lecture Notes: Classical Approaches to Statistical Analysis of Randomized Experiments

Building upon the statistical framework of causal inference, we consider classical approaches to statistical analysis of randomized experiments. The use of randomized experiments in scientific inquiry goes back at least to the 19th century, but formal statistical methods to analyze these experiments were developed in early 20th century by J. Neyman and R. Fisher. The methods they developed were...

Overcoming the Fear of Lecture

نقش ما در مراقبتهای بهداشتی، توسعه مهارتهای مراقبتی از بیماران است و این متضمن داشتن قدرت بیان مؤثر است، این قدرت بیان را نه تنها در جمع همکاران بلکه باید در جلسات نیز داشت، آنهم نه در برابر پنج نفر بلکه در برابر پانصد نفر، که این تسلط بیان را نه تنها هنگامی که شرایط مساعد است، بلکه به هنگام مناقشه و جر و بحث نیز  باید دارا بود.

Lecture 1: Introductory Lecture 2 Basic Definitions

We start with the definitions of metric spaces and normed spaces. Definition 1 Let X be a set, and let d : X ×X → R ∪ {0}. The pair (X, d) is a metric space if for all x, y, z ∈ X, 1. d(x, y) = d(y, x) 2. d(x, y) = 0 ⇔ x = y 3. d(x, y) + d(y, z) ≥ d(x, z) (triangle inequality) Definition 2 A normed space is R for some finite k together with an associated mapping a → ‖a‖ from R to R ∪ {0} such t...