Design and Analysis of Experiments and Observational Studies Using R

ISBN-13: 9780367456856 / Angielski / Twarda / 2022 / 270 str.

Canada) Taback Nathan (University of Toronto

Opis

It exposes students to the foundations of classical experimental design and observational studies through a modern framework. A causal inference framework is important in design, data collection and analysis since it provides a framework for investigators to readily evaluate study limitations and draw appropriate conclusions. 

Spis treści

1 Introduction  2 Mathematical Statistics: Simulation and Computation  3 Comparing Two Treatments  4 Power and Sample Size  5 Comparing More Than Two Treatments  6 Factorial Designs at Two Levels - 2k Designs  7 Causal Inference

O autorze

Nathan Taback is Associate Professor of Statistics and Data Science at University of Toronto.