MARC

Tag First Indicator Second Indicator Subfields
LEADER 00000nam a22000003a 4500
001 in00004676708
006 m |o d |
007 cr |n|||||||||
008 230502s2008 njua ob 001 0 eng d
005 20260214202204.6
020 |a 9780470258019 (electronic bk.) 
020 |a 0470258012 (electronic bk.) 
020 |z 9780471754992 
020 |z 0471754994 
024 3 |a 9780471754992 
035 |a wil6007436 
035 |a (NhCcYBP)wil6007436 
040 |a NhCcYBP  |b eng  |c NhCcYBP 
050 4 |a R853.S7  |b H67 2008 
060 4 |a 2008 E-050 
060 4 |a WA 950  |b H827a 2008 
082 0 4 |a 610.72/7  |2 22 
084 |a 31.73  |2 bcl 
084 |a 44.32  |2 bcl 
084 |a *62Nxx  |2 msc 
084 |a 62-01  |2 msc 
084 |a 62J99  |2 msc 
084 |a 62P10  |2 msc 
084 |a MR 2100  |2 rvk 
084 |a QH 233  |2 rvk 
084 |a SK 840  |2 rvk 
084 |a MAT 628f  |2 stub 
084 |a 70.03  |2 bcl 
100 1 |a Hosmer, David W. 
245 1 0 |a Applied survival analysis :  |b regression modeling of time-to-event data /  |c David W. Hosmer, Stanley Lemeshow, Susanne May. 
250 |a 2nd ed. 
260 |a Hoboken, N.J. :  |b Wiley-Interscience,  |c ©2008. 
300 |a 1 online resource (xiii, 392 pages : :  |b illustrations.) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Wiley series in probability and statistics 
504 |a Includes bibliographical references (pages 365-381) and index. 
505 0 |a Introduction to regression modeling of survival data -- Descriptive methods for survival data -- Regression models for survival data -- Interpretation of a fitted proportional hazards regression model -- Model development -- Assessment of model adequacy -- Extensions of the proportional hazards model -- Parametric regression models -- Other models and topics. 
520 1 |a "Since publication of the first edition nearly a decade ago, analyses using time-to-event methods have increased considerably in all areas of scientific inquiry, mainly as a result of model-building methods available in modern statistical software packages. However, there has been minimal coverage in the available literature to guide researchers, practitioners, and students who wish to apply these methods to health-related areas of study. Applied Survival Analysis, Second Edition provides a comprehensive and up-to-date introduction to regression modeling for time-to-event data in medical, epidemiological, biostatistical, and other health-related research." "Analyses throughout the text are performed using Stata Version 9, and an accompanying FTP site contains the data sets used in the book. Applied Survival Analysis, Second Edition is an ideal book for graduate-level courses in biostatistics, statistics, and epidemiologic methods. It also serves as a reference for practitioners and resarchers in any health-related field or for professionals in insurance and government."--Jacket. 
588 |a Description based on print version record. 
650 0 |a Medicine  |x Research  |x Statistical methods. 
650 0 |a Medical sciences  |x Statistical methods  |x Computer programs. 
650 0 |a Regression analysis  |x Data processing. 
650 0 |a Prognosis  |x Statistical methods. 
650 0 |a Logistic distribution. 
650 0 |a Survival analysis (Biometry) 
650 0 |a Logistic regression analysis. 
650 0 |a Prognosis. 
650 0 |a Regression analysis. 
650 1 2 |a Survival Analysis 
650 2 2 |a Logistic Models 
650 2 2 |a Mathematical Computing 
650 2 2 |a Prognosis 
650 2 2 |a Regression Analysis 
700 1 |a Lemeshow, Stanley. 
700 1 |a May, Susanne. 
776 0 8 |c Original  |z 9780471754992  |z 0471754994  |w (DLC) 2007035523 
830 0 |a Wiley series in probability and statistics. 
856 4 0 |u http://proxy.library.tamu.edu/login?url=https://onlinelibrary.wiley.com/book/10.1002/9780470258019  |z Connect to the full text of this electronic book  |t 0 
955 |a Wiley EBA record 
975 |p Wiley UBCM Full Collection 2026 
999 f f |s 58b068c1-527c-4b3a-a588-248feb23518a  |i 2f7f9c3e-718b-4cec-936f-de85925e3646  |t 0 
952 f f |a Texas A&M University  |b College Station  |c Electronic Resources  |s evans_pda  |d Available Online  |t 0  |e R853.S7 H67 2008  |h Library of Congress classification 
998 f f |a R853.S7 H67 2008  |t 0  |l Available Online