Ibrahim Joseph (236 results)

Hardcover. Condition: Good. Sorry, No international shipping on this item.Ex-library paperback (rebound as hardcover) in good condition with the usual markings and attachments. Except for library markings, interior clean and unmarked. Tight binding.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition. Ibrahim, Matasa (illustrator).

Condition: New. Ibrahim, Matasa (illustrator).

Condition: New. Ibrahim, Matasa (illustrator).

Condition: New. In English.

Condition: New. Ibrahim, Matasa (illustrator).

hardcover. Condition: Good. Ex-library copy, with the usual markings/stickers/stamping present. Otherwise book & it's text block show minimal shelf & handling wear, crisp and clean. Text/pictures are unmarked, binding intact and firm! A good reading copy.

Condition: New. In English. Ibrahim, Matasa (illustrator).

Hardcover. Condition: Very Good +. Second Printing. Hardcover. Stated Second Corrected Printing. Mild wear along top and bottom edges of cover mostly near corners, very light rubbing to cover, and mild toning along spine edge of cover without obscurring texts but otherwise very sharp copy with clean, unmarked pages throughout. Binding is solid.…

PF. Condition: New. Ibrahim, Matasa (illustrator).

Condition: New. Ibrahim, Matasa (illustrator).

Condition: New.

Paperback. Condition: Brand New. 296 pages. 9.00x6.00x1.00 inches. In Stock.

Condition: As New. Unread book in perfect condition. Ibrahim, Matasa (illustrator).

paperback. Condition: New.

Paperback. Condition: Brand New. 296 pages. 9.00x6.00x1.00 inches. In Stock.

Condition: As New. Unread book in perfect condition.

Condition: New. In English. Ibrahim, Matasa (illustrator).

Hardcover. Condition: Very Good. Book is in Very Good condition, Shelf Wear Only, all orders shipped DAILY- priority or standard MAIL via USPS.Free Tracking Included with all orders.

Condition: New. In English.

Condition: New. Print on Demand.

Trade Paperback. Condition: Brand New. 285 pages. 9.00x6.00x0.75 inches. In Stock.

hardcover. Condition: VG / NONE. VERY-GOOD Hardcover. LIKE NEW EXCEPT PREV OWNER'S NAME ON FLYLEAF.

Hardback. Condition: Good. Survival analysis arises in many fields of study including medicine, biology, engineering, public health, epidemiology, and economics. This book provides a comprehensive treatment of Bayesian survival analysis. Several topics are addressed, including parametric models, semiparametric models based on prior processes, proportional and non-proportional hazards models, frailty models, cure rate models, model selection and comparison, joint models for longitudinal and survival data, models with time varying covariates, missing covariate data, design and monitoring of clinical trials, accelerated failure time models, models for multivariate survival data, and special types of hierarchical survival models. Also various censoring schemes are examined including right and interval censored data. Several additional topics are discussed, including noninformative and informative prior specificiations, computing posterior qualities of interest, Bayesian hypothesis testing, variable selection, model selection with nonnested models, model checking techniques using Bayesian diagnostic methods, and Markov chain Monte Carlo (MCMC) algorithms for sampling from the posteiror and predictive distributions. The book presents a balance between theory and applications, and for each class of models discussed, detailed examples and analyses from case studies are presented whenever possible. The applications are all essentially from the health sciences, including cancer, AIDS, and the environment. The book is intended as a graduate textbook or a reference book for a one semester course at the advanced masters or Ph.D. level. This book would be most suitable for second or third year graduate students in statistics or biostatistics. It would also serve as a useful reference book for applied or theoretical researchers as well as practitioners. Joseph G. Ibrahim is Associate Professor of Biostatistics at the Harvard School of Public Health and Dana-Farber Cancer Institute; Ming-Hui Chen is Associate Professor of Mathematical Science at Worcester Polytechnic Institute; Debajyoti Sinha is Associate Professor of Biostatistics at the Medical University of South Carolina. …

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Hardback. Condition: Good. Survival analysis arises in many fields of study including medicine, biology, engineering, public health, epidemiology, and economics. This book provides a comprehensive treatment of Bayesian survival analysis. Several topics are addressed, including parametric models, semiparametric models based on prior processes, proportional and non-proportional hazards models, frailty models, cure rate models, model selection and comparison, joint models for longitudinal and survival data, models with time varying covariates, missing covariate data, design and monitoring of clinical trials, accelerated failure time models, models for multivariate survival data, and special types of hierarchical survival models. Also various censoring schemes are examined including right and interval censored data. Several additional topics are discussed, including noninformative and informative prior specificiations, computing posterior qualities of interest, Bayesian hypothesis testing, variable selection, model selection with nonnested models, model checking techniques using Bayesian diagnostic methods, and Markov chain Monte Carlo (MCMC) algorithms for sampling from the posteiror and predictive distributions. The book presents a balance between theory and applications, and for each class of models discussed, detailed examples and analyses from case studies are presented whenever possible. The applications are all essentially from the health sciences, including cancer, AIDS, and the environment. The book is intended as a graduate textbook or a reference book for a one semester course at the advanced masters or Ph.D. level. This book would be most suitable for second or third year graduate students in statistics or biostatistics. It would also serve as a useful reference book for applied or theoretical researchers as well as practitioners. Joseph G. Ibrahim is Associate Professor of Biostatistics at the Harvard School of Public Health and Dana-Farber Cancer Institute; Ming-Hui Chen is Associate Professor of Mathematical Science at Worcester Polytechnic Institute; Debajyoti Sinha is Associate Professor of Biostatistics at the Medical University of South Carolina. …

hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

hardcover. Condition: Good.