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Logrank test
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1	Chapter 9 Survival Analysis and the EM Algorithm Survival analysis had its roots in governmental and actuarial statistics, spanning centuries of use in assessing life expectencies, insurance rates, and annuities. In the Add to Reading List Source URL: statweb.stanford.edu Language: English - Date: 2014-11-21 19:45:54 Statistical tests Estimation theory Statistical models Proportional hazards models Logrank test Normal distribution Risk Expectation–maximization algorithm Statistical hypothesis testing Statistics Survival analysis Actuarial science
2	Clinical Biostatistics Time to event data Martin Bland Professor of Health Statistics University of York Add to Reading List Source URL: www-users.york.ac.uk Language: English - Date: 2009-02-09 04:47:25 Logrank test Kaplan–Meier estimator Survival analysis Statistics Reliability engineering
3	Biostatistics in Research Practice Time to event data Martin Bland Professor of Health Statistics University of York Add to Reading List Source URL: www-users.york.ac.uk Language: English - Date: 2009-02-05 06:45:55 Logrank test Kaplan–Meier estimator Survival analysis Statistics Reliability engineering
4	Biostatistics in Research Practice Time to event data Summary In this lecture we will look at data which are the time to an event, such as death or healing. The main problem with such data is that subjects are usually o Add to Reading List Source URL: www-users.york.ac.uk Language: English - Date: 2009-02-05 06:41:26 Reliability engineering Epidemiology Actuarial science Kaplan–Meier estimator Logrank test Censoring Proportional hazards models Billy Meier Risk Statistics Survival analysis Medical statistics
5	What is...? series New title Statistics Add to Reading List Source URL: www.medicine.ox.ac.uk Language: English - Date: 2009-07-07 06:57:02 Epidemiology Hazard ratio Relative risk Logrank test Proportional hazards models End point of clinical trials Docetaxel Head and neck cancer Randomized controlled trial Statistics Medical statistics Survival analysis
6	Clinical Biostatistics Time to event data Summary In this lecture we will look at data which are the time to an event, such as death or healing. The main problem with such data is that subjects are usually observed for Add to Reading List Source URL: www-users.york.ac.uk Language: English - Date: 2009-02-09 04:46:34 Reliability engineering Epidemiology Actuarial science Kaplan–Meier estimator Logrank test Censoring Proportional hazards models Billy Meier Risk Statistics Survival analysis Medical statistics
7	Introduction to Statistics for Clinical Trials Survival Analysis Martin Bland Professor of Health Statistics University of York Add to Reading List Source URL: www-users.york.ac.uk Language: English - Date: 2009-07-31 05:46:44 Logrank test Survival function Survival analysis Statistics Kaplan–Meier estimator
8	Social Influence and Tie Characteristics Tie Strength, Embeddedness & Social Influence: A Large-Scale Networked Experiment Technical Appendix Sinan Aral Add to Reading List Source URL: web.mit.edu Language: English - Date: 2014-04-16 04:39:15 Shoaling and schooling Logrank test Survival analysis Adoption
9	A Log-Rank Type Test to Compare Net Survival Distributions Introduction Method Simulations Add to Reading List Source URL: www.encr.eu Language: English - Date: 2014-11-25 11:39:37 Logrank test Psychometrics Simulation Non-parametric statistics Statistical hypothesis testing Statistics Statistical inference Survival analysis
10	7 Survival Analysis 7.1 Introduction Survival analysis is central to biostatistics and modeling such data is an important part of the work carried out daily by statisticians working with clinicians and medical Add to Reading List Source URL: media.wiley.com Language: English - Date: 2009-04-16 17:31:36 Econometrics Estimation theory Parametric statistics Proportional hazards models Linear regression Hazard ratio Maximum likelihood Logrank test Statistics Regression analysis Survival analysis

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