LEADER 04661nam 22006135 450 001 9910254061103321 005 20250408073851.0 010 $a9783319312453 010 $a3319312456 024 7 $a10.1007/978-3-319-31245-3 035 $a(CKB)3710000000667172 035 $a(DE-He213)978-3-319-31245-3 035 $a(MiAaPQ)EBC4526865 035 $a(PPN)194077489 035 $a(Perlego)3450105 035 $a(EXLCZ)993710000000667172 100 $a20160511d2016 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aApplied Survival Analysis Using R /$fby Dirk F. Moore 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (XIV, 226 p. 66 illus., 26 illus. in color.) 225 1 $aUse R!,$x2197-5744 311 08$a9783319312439 311 08$a331931243X 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aIntroduction -- Basic Principles of Survival Analysis -- Nonparametric Survival Curve Estimation -- Nonparametric Comparison of Survival Distributions -- Regression Analysis Using the Proportional Hazards Model -- Model Selection and Interpretation -- Model Diagnostics -- Time Dependent Covariates -- Multiple Survival Outcomes and Competing Risks -- Parametric Models -- Sample Size Determination for Survival Studies -- Additional Topics -- References -- Appendix A -- Index -- R Package Index. 330 $aApplied Survival Analysis Using R covers the main principles of survival analysis, gives examples of how it is applied, and teaches how to put those principles to use to analyze data using R as a vehicle. Survival data, where the primary outcome is time to a specific event, arise in many areas of biomedical research, including clinical trials, epidemiological studies, and studies of animals. Many survival methods are extensions of techniques used in linear regression and categorical data, while other aspects of this field are unique to survival data. This text employs numerous actual examples to illustrate survival curve estimation, comparison of survivals of different groups, proper accounting for censoring and truncation, model variable selection, and residual analysis. Because explaining survival analysis requires more advanced mathematics than many other statistical topics, this book is organized with basic concepts and most frequently used procedures covered in earlier chapters, with more advanced topics near the end and in the appendices. A background in basic linear regression and categorical data analysis, as well as a basic knowledge of calculus and the R system, will help the reader to fully appreciate the information presented. Examples are simple and straightforward while still illustrating key points, shedding light on the application of survival analysis in a way that is useful for graduate students, researchers, and practitioners in biostatistics. Clearly illustrates concepts of survival analysis principles and analyzes actual survival data using R, in addition to including an appendix with a basic introduction to R Organized via basic concepts and most frequently used procedures, with advanced topics toward the end of the book and in appendices Includes multiple original data sets that have not appeared in other textbooks Dirk F. Moore is Associate Professor of Biostatisticsat the Rutgers School of Public Health and the Rutgers Cancer Institute of New Jersey. He received a Ph.D. in biostatistics from the University of Washington in Seattle and, prior to joining Rutgers, was a faculty member in the Statistics Department at Temple University. He has published numerous papers on the theory and application of survival analysis and other biostatistics methods to clinical trials and epidemiology studies. 410 0$aUse R!,$x2197-5744 606 $aBiometry 606 $aStatistics 606 $aEpidemiology 606 $aBiostatistics 606 $aStatistical Theory and Methods 606 $aEpidemiology 615 0$aBiometry. 615 0$aStatistics. 615 0$aEpidemiology. 615 14$aBiostatistics. 615 24$aStatistical Theory and Methods. 615 24$aEpidemiology. 676 $a610.72 700 $aMoore$b Dirk F$4aut$4http://id.loc.gov/vocabulary/relators/aut$0755834 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254061103321 996 $aApplied survival analysis using R$91523162 997 $aUNINA