Nathan Taback

Design and Analysis of Experiments and Observational Studies using R (eBook, PDF)

• Format: PDF

Produktbeschreibung

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.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 292
• Erscheinungstermin: 10. März 2022
• Englisch
• ISBN-13: 9781000554175
• Artikelnr.: 63726314

Autorenporträt

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

Inhaltsangabe

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