Design of Observational Studies (Springer Series in Statistics) - Image 1

£104.83

Springer Design of Observational Studies (Springer Series in Statistics)

Name: Design of Observational Studies (Springer Series in Statistics)
Brand: Springer
Price: 98.5 GBP
Availability: InStock

Econometrics

Price History & Forecast

Last 52 days • 52 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 52 days • 5 price levels

Days at Price

Current Price

Price Analysis

Most common price: £99 (15 days, 28.8%)

Price range: £96 - £105

Price levels: 5 different prices over 52 days

Description

This second edition of Design of Observational Studies is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies. An observational study is an empiric investigation of effects caused by treatments when randomized experimentation is unethical or infeasible. Observational studies are common in most fields that study the effects of treatments on people, including medicine, economics, epidemiology, education, psychology, political science and sociology. The quality and strength of evidence provided by an observational study is determined largely by its design. Design of Observational Studies is organized into five parts. Chapters 2, 3, and 5 of Part I cover concisely many of the ideas discussed in Rosenbaum’s Observational Studies (also published by Springer) but in a less technical fashion. Part II discusses the practical aspects of using propensity scores and other tools to create a matched comparison that balances many covariates, and includes an updated chapter on matching in R. In Part III, the concept of design sensitivity is used to appraise the relative ability of competing designs to distinguish treatment effects from biases due to unmeasured covariates. Part IV is new to this edition; it discusses evidence factors and the computerized construction of more than one comparison group. Part V discusses planning the analysis of an observational study, with particular reference to Sir Ronald Fisher’s striking advice for observational studies: "make your theories elaborate." This new edition features updated exploration of causal influence, with four new chapters, a new R package DOS2 designed as a companion for the book, and discussion of several of the latest matching packages for R. In particular, DOS2 allows readers to reproduce many analyses from Design of Observational Studies.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 3030464040
Category: Books > Subjects > Business, Finance & Law > Economics > Econometrics
Domain: Amazon UK
Release Date: 14 July 2020
Listed Since: 20 March 2020

Barcode

No barcode data available

Springer Design of Observational Studies (Springer Series in Statistics)

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Design of Observational Studies (Springer Series in Statistics)

An Introduction to the Theory of Observational Studies (Springer Texts in Statistics)

Observational Studies (Springer Series in Statistics)

Design and Analysis of Experiments (Springer Texts in Statistics)

The Effect: An Introduction to Research Design and Causality

Design and Analysis of Experiments and Observational Studies using R (Chapman & Hall/CRC Texts in Statistical Science)

Replication and Evidence Factors in Observational Studies (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Replication and Evidence Factors in Observational Studies (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Springer Statistical Analysis of Designed Experiments, 3rd Ed

Experiments: Planning, Analysis, and Optimization: 552 (Wiley Series in Probability and Statistics)

Statistical Design, Monitoring, and Analysis of Clinical Trials: Principles and Methods (Chapman & Hall/CRC Biostatistics Series)

Statistics for Experimenters: Design, Innovation, and Discovery (Wiley Series in Probability and Statistics)

The Design and Analysis of Computer Experiments (Springer Series in Statistics)

Probability Theory and Statistical Inference: Empirical Modeling with Observational Data

The Analysis of Covariance and Alternatives: Statistical Methods for Experiments, Quasi-Experiments, and Single-Case Studies (Wiley Series in Probability and Statistics)

Statistics and Causality: Methods for Applied Empirical Research: 2 (Wiley Series in Probability and Statistics)

Essentials of Clinical Research

Probability Theory and Statistical Inference: Empirical Modeling with Observational Data

Design of Experiments for Agriculture and the Natural Sciences

Response Surfaces, Mixtures, and Ridge Analyses: Empirical Model-building And Response Surfaces (Wiley Series in Probability and Statistics)

Design of Experiments for Agriculture and the Natural Sciences

Adaptive Design Theory and Implementation Using SAS and R (Chapman & Hall/CRC Biostatistics Series)

Adaptive Design Theory and Implementation Using SAS and R (Chapman & Hall/CRC Biostatistics Series)

Essentials of Clinical Research