{ "item_title" : "Fixed Effects Regression Models", "item_author" : [" Paul D. Allison "], "item_description" : "This book demonstrates how to estimate and interpret fixed-effects models in a variety of different modeling contexts: linear models, logistic models, Poisson models, Cox regression models, and structural equation models. Both advantages and disadvantages of fixed-effects models will be considered, along with detailed comparisons with random-effects models. Written at a level appropriate for anyone who has taken a year of statistics, the book is appropriate as a supplement for graduate courses in regression or linear regression as well as an aid to researchers who have repeated measures or cross-sectional data.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/0/76/192/497/0761924973_b.jpg", "price_data" : { "retail_price" : "46.00", "online_price" : "46.00", "our_price" : "46.00", "club_price" : "46.00", "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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