Kaplan–Meier estimator

Results: 59



#Item
21Discussion Papers in Economics  No[removed]The Parental Co-Immunization Hypothesis  Miguel Portela and Paul Schweinzer

Discussion Papers in Economics No[removed]The Parental Co-Immunization Hypothesis Miguel Portela and Paul Schweinzer

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Source URL: www.york.ac.uk

Language: English - Date: 2015-03-03 05:46:31
22For Immediate Release  Contact: Jay Arthur, KnowWareFax:

For Immediate Release Contact: Jay Arthur, KnowWareFax:

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Source URL: www.qimacros.com

Language: English - Date: 2014-12-05 12:25:15
23An Improved Methodology for Analysing Age-Arrest Profiles: Application to a Western Australian Offender Population

An Improved Methodology for Analysing Age-Arrest Profiles: Application to a Western Australian Offender Population

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Source URL: www.criminologyresearchcouncil.gov.au

Language: English - Date: 2008-11-25 20:42:10
24An Improved Methodology for Analysing Age-Arrest Profiles: Application to a Western Australian Offender Population

An Improved Methodology for Analysing Age-Arrest Profiles: Application to a Western Australian Offender Population

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Source URL: crg.aic.gov.au

Language: English - Date: 2008-11-25 20:42:10
25Survival analysis / Business intelligence / 4GL / SAS / Kaplan–Meier estimator / Regression analysis / Censoring / Scatter plot / Plot / Statistics / Actuarial science / Reliability engineering

HRP 262, SAS EG LAB ONE, March 31, 2010 Lab One: Introduction to time-and-date formats, time-to-event variables, Kaplan-Meier curves, plotting, parametric regression (if time) Lab Objectives:

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Source URL: web.stanford.edu

Language: English - Date: 2010-04-01 13:06:47
26A Multiple Imputation Method for Sensitivity Analysis of Time-to-event Data with possible Informative Censoring Yue Zhao (Sophie) Merck Research Lab.

A Multiple Imputation Method for Sensitivity Analysis of Time-to-event Data with possible Informative Censoring Yue Zhao (Sophie) Merck Research Lab.

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Source URL: www.amstat.org

Language: English - Date: 2014-11-30 21:07:15
27Exercise 4: Multivariable analysis in R part 2: Cox proportional hazard model At the end of this exercise you should be able to: a. Use the Cox proportional hazard model b. Test the assumption for proportionality and if

Exercise 4: Multivariable analysis in R part 2: Cox proportional hazard model At the end of this exercise you should be able to: a. Use the Cox proportional hazard model b. Test the assumption for proportionality and if

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Source URL: www.tbrieder.org

Language: English - Date: 2014-07-18 10:05:47
28Solution to Exercise 3: Survival analysis Key points: • In this simplified example, there was no censoring, people either had the even or they didn’t

Solution to Exercise 3: Survival analysis Key points: • In this simplified example, there was no censoring, people either had the even or they didn’t

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Source URL: www.tbrieder.org

Language: English - Date: 2014-03-15 12:07:00
29Exercise 3: Survival analysis At the end of this exercise you should be able to: a. Understand the indications for survival analysis b. Be able to do a simple survival analysis in EpiData Analysis An example of a surviva

Exercise 3: Survival analysis At the end of this exercise you should be able to: a. Understand the indications for survival analysis b. Be able to do a simple survival analysis in EpiData Analysis An example of a surviva

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Source URL: www.tbrieder.org

Language: English - Date: 2014-03-15 12:07:01
30A Handbook of Statistical Analyses Using R — 2nd Edition Brian S. Everitt and Torsten Hothorn  CHAPTER 11

A Handbook of Statistical Analyses Using R — 2nd Edition Brian S. Everitt and Torsten Hothorn CHAPTER 11

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Source URL: cran.r-project.org

Language: English - Date: 2014-08-19 11:28:20