{ "item_title" : "Joint Models for Longitudinal and Time-to-Event Data", "item_author" : [" Dimitris Rizopoulos "], "item_description" : "Longitudinal studies often investigate how a marker that is repeatedly measured in time is associated with a time to an event of interest. An example is prostate cancer studies where longitudinal PSA level measurements are collected in conjunction with the time-to-recurrence. This book provides a full treatment of joint models for longitudinal and time-to-event data. The content is explanatory rather than mathematically rigorous and emphasizes applications. All illustrations put forward are available in the R programming language via the freely available package JM written by the author.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/43/987/286/1439872864_b.jpg", "price_data" : { "retail_price" : "126.99", "online_price" : "126.99", "our_price" : "126.99", "club_price" : "126.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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