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Analysing survival data from clinical trials and observational studies / Ettore Marubini / New York ; Hoboken : J. Wiley (1995)
ISBN : 978-0-471-93987-0 : 61,16 €
Languages : English (eng)
Descriptors: Classification
WA 950 Theory or methods of medical statistics
Indexation
Clinical Trials ; Statistical methods ; Survival analysis (Biometry)Record link: https://kce.docressources.info/index.php?lvl=notice_display&id=275 Hold
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Barcode Call number Media type Location Section Status 10273-00231 WA950/MAR Book KCE Library (10.124) Available Readers who borrowed this document also borrowed:
Meta-analysis of controlled clinical trials Whitehead, Anne Interrupted Time Series Analysis McDowall, David Les techniques de sondage Ardilly, Pascal SAS survival analysis techniques for medical research Cantor, Alan Risk adjustment for measuring health care outcomes Iezzoni, Lisa I. The socio-economic burden of hospital acquired infection Plowman, Rosalind A good life in old age? Organisation for Economic Co-operation and Development, European Commission Manuel pour une tarification des interventions hospitalières basée sur les coûts Swartenbroekx, Nathalie Models for discrete data Zelterman, Daniel Modelling survival data in medical research Collett, David Step-by-Step Programming with Base SAS Software SAS Institute
ISBN : 978-0-387-98784-2 : 105,69 €
Languages : English (eng)
Descriptors: Classification
WA 950 Theory or methods of medical statistics
Indexation
Mathematical models ; Medicine ; Statistical methods ; Survival analysis (Biometry)Record link: https://kce.docressources.info/index.php?lvl=notice_display&id=213 Hold
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Barcode Call number Media type Location Section Status 10273-00232 WA950/THE Book KCE Library (10.124) Available
ISBN : 978-1-58488-325-8 : 52,96 €
Languages : English (eng)
Descriptors: Classification
WA 950 Theory or methods of medical statistics
Indexation
Clinical Trials ; Statistical methods ; Survival analysis (Biometry)Record link: https://kce.docressources.info/index.php?lvl=notice_display&id=125 Hold
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Barcode Call number Media type Location Section Status 10273-00259 WA 950/COL Book KCE Library (10.124) Available Readers who borrowed this document also borrowed:
PROC SQL by Example Schreier, Howard Survival analysis Klein, John P. SAS survival analysis techniques for medical research Cantor, Alan Pharmaceutical pricing policies in a global market Docteur, Elizabeth, Paris, Valérie, Moise, Pierre, Organisation for Economic Co-operation and Development (OECD) = Organisation de Coopération et de Développement Economiques (OCDE) Applied survey data analysis Heeringa, Steven How to design, analyse and report cluster randomised trials in medicine and health related research Campbell, Michael J. Health at a glance 2013 Organisation for Economic Co-operation and Development (OECD) = Organisation de Coopération et de Développement Economiques (OCDE) Modern epidemiology Rothman, Kenneth J. Methods for the Economic Evaluation of Health Care Programmes Drummond, Michael F. Clinical trials Brody, Tom The relationship between hospital volume and quality of health outcomes Sowden, Amanda J.
ISBN : 978-1-59047-135-7 : 39,95$
Languages : English (eng)
Descriptors: Indexation
SAS ; Survival analysis (Biometry)Abstract: If you are new to survival analysis or want to expand your capabilities in this area, you will benefit from Alan Cantor's follow-up to Extending SAS Survival Analysis Techniques for Medical Research. This second edition presents the theory and methods of survival analysis along with excellent discussions of the SAS procedures used to implement the methods described. New features include a discussion of permutation and randomization tests; a discussion of the use of data imputation; an improved discussion of power for Cox regression; new features found in SAS Version 9, such as confidence bands for the Kaplan-Meier curve; appendixes that cover mathematical and statistical background topics needed in survival analysis; and student exercises. The new features, along with several useful macros and numerous examples, make SAS Survival Analysis Techniques for Medical Research, Second Edition, a suitable textbook for a course in survival analysis for biostatistics majors and majors in related fields. This book excels at presenting complex ideas in a way that enables those without a strong technical background to utilize the concepts and techniques presented within. Contents note: Preface v -- Chapter 1 What Survivor Analysis Is About -- 1.1 The Nature of Survival Data 1 -- 1.2 Exercises 5 -- 1.3 Calendar Time and Study Time 5 -- 1.4 Exercise 6 -- 1.5 Example 61.6 Functions That Describe Survival 9 -- 1.7 Exercises 11 -- 1.8 Some Commonly Used Survival Functions 11 -- 1.9 Exercises 12 -- 1.10 Functions That Allow for Cure 13 -- 1.11 Fully Parametric and Nonparametric Methods 15 -- 1.12 Some Common Assumptions. 16 -- 1.13 Exercises 16 -- Chapter 2 Non-Parametric Survival Function Estimation -- 2.1 The Kaplan-Meier Estimate of the Survival Function 17 -- 2.2 Exercise 20 -- 2.3 The Actuarial Life Table 20 -- 2.4 The Variance of the Kaplan-Meier Estimator 23 -- 2.5 Hypothesis Tests 24 -- 2.6 Confidence Intervals 25 -- 2.7 Some Problems with the Kaplan-Meier Estimator of S(t) 25 -- 2.8 Using Proc Lifetest 27 -- 2.9 Two Macros as Alternatives to Proc Lifetest 32 -- 2.10 Planning a Study to Control the Standard Error 37 -- 2.11 Example 39 -- 2.12 The Kmplan Macro 39 -- 2.13 Exercise 42 -- 2.14 Interval-Censored Data 42 -- 2.15 Macros 48 -- Chapter 3 Non-Parametric Comparison of Survival Distributions -- 3.1 Notation 53 -- 3.2 The Log Rank Statistic. 54 -- 3.3 More Than Two Groups 56 -- 3.4 Other Linear Rank Tests 57 -- 3.5 Using Proc Lifetest 59 -- 3.6 Exercises 64 -- 3.7 A Test for Trend 64 -- 3.8 Stratified Analyses 653.9 The Macro Linrank 66 -- 3.10 Permutation Tests and Randomization Tests 73 -- 3.11 The Mantel-Byar Method. 793.12 Power Analysis 84 -- 3.13 Early Stopping Based on Conditional Power 92 -- 3.14 Listings of Macros 95 -- Chapter 4 Proportional Hazards Regression -- 4.1 Some Thoughts about Model-Based Estimation and Inference 111 -- 4.2 The Cox (Proportional Hazards) Regression Method 112 -- 4.3 The Hazard Ratio and Survival 113 -- 4.4 Multiple Covariates 114 -- 4.5 Defining Covariates 1144.6 Scaling the Covariates 115 -- 4.7 Survival Probabilities. 116 -- 4.8 Maximum Likelihood Estimation of the Coefficients 116 -- 4.9 Using Proc Phreg 117 -- 4.10 Model-Building Considerations 131 -- 4.11 Time-Dependent Covariates 134 -- 4.12 More Complex Models 136 -- 4.13 Checking the Proportional Hazards Assumption. 136 -- 4.14 Exercise 138 -- 4.15 Survival Probabilities. 138 -- 4.16 Residuals 143 -- 4.17 Power and Sample Size 145 -- 4.18 Imputing Missing Values 148 -- 4.19 Listings of Macros 150 -- Chapter 5 Parametric Methods -- 5.1 Introduction 153 -- 5.2 The Accelerated Failure Time Model 155 -- 5.3 PROC LIFEREG 156 -- 5.4 Example Using Proc LIFEREG 156 -- 5.5 Comparison of Models 159 -- 5.6 Estimates of Quantiles and Survival Probabilities. 160 -- 5.7 The Proc LIFEREG Parameters and the "Standard" Parameters 163 -- 5.8 The Macro Paramest 163 -- 5.9 Example Using the Macro Paramest 166 -- 5.10 An Example with a Positive Cure Rate 169 -- 5.11 Comparison of Groups 173 -- 5.12 One-Sample Tests of Parameters 176 -- 5.13 The Effects of Covariates on Parameters 176 -- 5.14 Complex Expressions for the Survival and Hazard Functions 179 -- 5.15 Graphical Checks for Certain Survival Distributions 179 -- 5.16 A Macro for Fitting Parametric Models to Survival Data 180 -- 5.17 Other Estimates of Interest 183 -- 5.18 Listings of Macros 183 -- Appendix A 187 -- Appendix B 193 -- Appendix C 209 -- References 219 -- Index 221 Record link: https://kce.docressources.info/index.php?lvl=notice_display&id=129 Hold
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Barcode Call number Media type Location Section Status 10273-00208 WA 950/CAN Book KCE Library (10.124) Available Readers who borrowed this document also borrowed:
Methods for the Economic Evaluation of Health Care Programmes Drummond, Michael F. Epidemiology Rothman, Kenneth J. Applied spatial statistics for public health data Waller, Lance A. Clinical trials Brody, Tom Pharmaceutical pricing policies in a global market Docteur, Elizabeth, Paris, Valérie, Moise, Pierre, Organisation for Economic Co-operation and Development (OECD) = Organisation de Coopération et de Développement Economiques (OCDE) Modelling survival data in medical research Collett, David Introduction to meta-analysis Borenstein, Michael Eléments d'épidémiologie Beaglehole, R. Cochrane Handbook for Systematic Reviews of Interventions Higgins, Julian PT Bayesian approaches to clinical trials and health-care evaluation Spiegelhalter, D. J. Relationship between volume and quality of health care
ISBN : 0-471-37215-3 : 103,15 €
Languages : English (eng)
Descriptors: Classification
QA 276 .L328 Mathematical statistics
Indexation
Failure time data analysis ; Survival analysis (Biometry)Record link: https://kce.docressources.info/index.php?lvl=notice_display&id=117 Hold
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Barcode Call number Media type Location Section Status 10273-00065 QA276/LAW Book KCE Library (10.124) Available PermalinkPermalink
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