{"product_id":"interval-censored-time-to-event-data-methods-and-applications-9780367576752","title":"Interval-Censored Time-To-Event Data: Methods and Applications","description":"\u003cp\u003e • Author(s): Ding-Geng Chen\u003cbr\u003e • Publisher: Taylor \u0026amp; Francis\u003cbr\u003e • Publisher Imprint: CRC Press\u003cbr\u003e • BISAC: Probability \u0026amp; Statistics - General\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eInterval-Censored Time-to-Event Data: Methods and Applications\u003c\/strong\u003e collects the most recent techniques, models, and computational tools for interval-censored time-to-event data. Top biostatisticians from academia, biopharmaceutical industries, and government agencies discuss how these advances are impacting clinical trials and biomedical research.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eDivided into three parts, the book begins with an overview of interval-censored data modeling, including nonparametric estimation, survival functions, regression analysis, multivariate data analysis, competing risks analysis, and other models for interval-censored data. The next part presents interval-censored methods for current status data, Bayesian semiparametric regression analysis of interval-censored data with monotone splines, Bayesian inferential models for interval-censored data, an estimator for identifying causal effect of treatment, and consistent variance estimation for interval-censored data. In the final part, the contributors use Monte Carlo simulation to assess biases in progression-free survival analysis as well as correct bias in interval-censored time-to-event applications. They also present adaptive decision making methods to optimize the rapid treatment of stroke, explore practical issues in using weighted logrank tests, and describe how to use two R packages.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eA practical guide for biomedical researchers, clinicians, biostatisticians, and graduate students in biostatistics, this volume covers the latest developments in the analysis and modeling of interval-censored time-to-event data. It shows how up-to-date statistical methods are used in biopharmaceutical and public health applications.\u003c\/p\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Paperback","offer_id":45240380817559,"sku":"9780367576752","price":4273.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9780367576752.webp?v=1769225352","url":"https:\/\/atlanticbooks.com\/products\/interval-censored-time-to-event-data-methods-and-applications-9780367576752","provider":"Atlantic Books","version":"1.0","type":"link"}