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Paul Dickman

I am Professor of Biostatistics at the Department of Medical Epidemiology and Biostatistics (MEB). At Karolinska Institutet in Stockholm, where I've been employed since March 1999. A link to my MEB home page. With further details of my research. 21-23 February 2018: Paul Lambert and I will teach a series of 1-day courses in Melbourne, Australia. Further details can be found here. 4-9 June 2018. Paul Lambert will teach a 1-week course on statistical methods for population-based cancer survival analysis.

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I am Professor of Biostatistics at the Department of Medical Epidemiology and Biostatistics (MEB). At Karolinska Institutet in Stockholm, where I've been employed since March 1999. A link to my MEB home page. With further details of my research. 21-23 February 2018: Paul Lambert and I will teach a series of 1-day courses in Melbourne, Australia. Further details can be found here. 4-9 June 2018. Paul Lambert will teach a 1-week course on statistical methods for population-based cancer survival analysis.
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Paul Dickman | pauldickman.com Reviews

https://pauldickman.com

I am Professor of Biostatistics at the Department of Medical Epidemiology and Biostatistics (MEB). At Karolinska Institutet in Stockholm, where I've been employed since March 1999. A link to my MEB home page. With further details of my research. 21-23 February 2018: Paul Lambert and I will teach a series of 1-day courses in Melbourne, Australia. Further details can be found here. 4-9 June 2018. Paul Lambert will teach a 1-week course on statistical methods for population-based cancer survival analysis.

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1

Publications

http://www.pauldickman.com/publications/index.php

Click here for my publication list in the Karolinska Institutet bibliometry system (opens in a new page). Weibull CE, Eloranta S, Smedby KE, Björkholm M, Kristinsson SY, Johansson ALV, Glimelius I, Dickman PW. Pregnancy and the risk of relapse in patients diagnosed with Hodgkin lymphoma. Törner A, Stokkeland K, Svensson Å, Dickman PW, Hultcrantz R, Montgomery S, Duberg AS. The underreporting of hepatocellular carcinoma to the cancer register and a log-linear model to estimate a more correct incidence.

2

Estimating and modelling relative survival in SAS and Stata

http://www.pauldickman.com/rsmodel

Estimating and modelling relative survival in SAS and Stata. I have written SAS and Stata code for estimating and modelling relative survival. Fully worked examples (data plus code) are provided for reproducing the analysis of colon carcinoma presented in Dickman et al. Regression models for relative survival. Estimating relative survival using SAS. Estimating relative survival using Stata. The Stata implementation is more extensive than the SAS implementation.

3

Teaching (excluding undergraduate) and Presentations

http://www.pauldickman.com/teaching/index.php

Teaching (excluding undergraduate) and Presentations. June 6-11, 2016, Statistical methods for population-based cancer survival analysis. June 22-26, 2015, Cancer Survival: principles, methods, and analysis. London School of Hygiene and Tropical Medicine, London, UK. March 15, 2016, Communicating cancer patient survival. Cancer Registry of Norway [ 3-ups. June 8-13, 2015, Statistical methods for population-based cancer survival analysis. June 24-28, 2013, Cancer Survival: principles, methods, and analysis.

4

Paul Dickman - Biography

http://www.pauldickman.com/bio_eng.php

Paul Dickman - Biography. While at the HSRG, I worked on a project describing cancer patient survival for the South Australian Cancer Registry and became interested in methods for studying regional and social class variation in cancer patient survival. This became the topic of my doctoral thesis, which I commenced in 1993 at the University of Newcastle under the supervision of Professor Bob Gibberd. Which was completed in March 1997. After completing my doctoral thesis, I worked for three months at the F...

5

SAS notes

http://www.pauldickman.com/teaching/sas/index.php

The SAS seminars are aimed at MEB doctoral students and are held irregularly. Click on the links to download the overheads and notes. A great source for SAS information is the UCLA Stat Computing Portal. Logistic regression in SAS version 6. Histograms using PROC CAPABILITY. FIRST and LAST. variables. Categorising a variable into quintiles. Converting variable types (e.g. char to num). Calculating age in completed years. Calculating age at diagnosis from PNR and diagnosis date. Working with SAS dates.

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