{"title":"Books by Nicholas P. Jewell","description":null,"products":[{"product_id":"9781119186847","title":"Causal Inference in Statistics - A Primer","description":"CAUSAL INFERENCE IN STATISTICS A Primer Causality is central to the understanding and use of data. Without an understanding of cause–effect relationships, we cannot use data to answer questions as basic as \"Does this treatment harm or help patients?\" But though hundreds of introductory texts are available on statistical methods of data analysis, until now, no beginner-level book has been written about the exploding arsenal of methods that can tease causal information from data.    Causal Inference in Statistics fills that gap. Using simple examples and plain language, the book lays out how to define causal parameters; the assumptions necessary to estimate causal parameters in a variety of situations; how to express those assumptions mathematically; whether those assumptions have testable implications; how to predict the effects of interventions; and how to reason counterfactually. These are the foundational tools that any student of statistics needs to acquire in order to use statistical methods to answer causal questions of interest.    This book is accessible to anyone with an interest in interpreting data, from undergraduates, professors, researchers, or to the interested layperson. Examples are drawn from a wide variety of fields, including medicine, public policy, and law; a brief introduction to probability and statistics is provided for the uninitiated; and each chapter comes with study questions to reinforce the readers understanding.","brand":"Gardners","offers":[{"title":"Default Title","offer_id":56296538702197,"sku":"9781119186847","price":35.95,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0612\/7193\/3106\/files\/9781119186847_c0e6af5e-5f0d-4ccc-b247-8205658626f0.jpg?v=1786018406"},{"product_id":"9781584884330","title":"Statistics for Epidemiology","description":"\u003cp\u003eWritten by one of the top biostatisticians in the field, this volume fills a substantial niche by explaining the ideas behind the analysis of epidemiological data. Requiring only knowledge of fundamental mathematics, it covers the basic material for analyzing data that arise from simple epidemiological studies, including case-control and matched studies. Methodologically, it describes stratification techniques for handling confounding and interaction and the logistic regression model. The author uses a case-study approach, following a few simple examples through several method chapters rather than introducing a different example at each stage.\u003c\/p\u003e","brand":"Gardners","offers":[{"title":"Default Title","offer_id":56304566567285,"sku":"9781584884330","price":145.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0612\/7193\/3106\/files\/9781584884330_a2561fcf-abb0-4d58-ad79-1480b34d9372.jpg?v=1786023444"},{"product_id":"9781584885047","title":"Analysis of Longitudinal Studies in Epidemiology","description":"Aimed at a nontechnical audience, with intuitive explanations instead of mathematical derivations, Analysis of Longitudinal Studies in Epidemiology covers a wide range of topics that include Poisson regression, survival analysis, repeated measure, clustered data, longitudinal observations, and generalized linear models such as logistic regression. The book illustrates examples through extensive case studies, placing particular emphasis on the extension of simple cross-sectional methods and exploring how they can be adapted to longitudinal settings. It also explains the importance of time-dependent confounding and introduces methods including inverse probability weighted estimators.","brand":"Gardners","offers":[{"title":"Default Title","offer_id":56369037836661,"sku":"9781584885047","price":76.99,"currency_code":"GBP","in_stock":true}]}],"url":"https:\/\/backstory.london\/collections\/author-nicholas-p-jewell.oembed","provider":"Backstory","version":"1.0","type":"link"}