Cancer Incidence Trends Analysis

Day 1 (October 30, 2017)
Joinpoint and age-period-cohort model
Over-all trend (APC)
Age, period, cohort effects

Population denominators – past and future
Making a data frame for joinpoint and APC analyses
Merging incidence and population dataframes
(lecture and practicum)


Day 2 (October 31, 2017)
Steps in APC tutorials – trend analysis
(lecture and practicum)

Selection of the best model – AP, AC, AP-C, AC-P, APC
Interpretation of age, period, cohort effects
(lecture and practicum)


Day 3 (November 1, 2017)
Steps in joinpoint and APC projection
Cut trend methods
(lecture and practicum)

Interpretation of the projection
Limitation of use of trend projection
  

Files used in the workshop for 'Cancer Incidence Trends Analysis'. They are arranged in the following folders.

0 data

1 basic concepts of joinpoint analysis

2 basic concepts of age-period-cohort analysis

3 annual percent change and average APC

4 age, period, cohort effects 

5 data management for joinpoint 

6 steps in joinpoint tutorials - trend analysis 

7 data management for age-period-cohort analysis 

8 steps in APC tutorials - trend analysis 

9 data management for nordpred 

10 steps in nordpred tutorial - analysis

11 population denominators 

12 selection of the best model -AP, AC, APC

13 interpretation of age, period, cohort effects 

14 data management for projection 

15 steps in joinpoint APC and nordpred projection

16 cut trend methods

17 interpretation of the projection 

18 limitation of use of trend projection 

19 demonstration of StMoMo 

Cancer Trend Analysis Using Joinpoint Regression Part 1 The Basics.pdf

epaac-wp9-session2-crocetti.pdf

PHT2011 Trend Analysis.ppt 

software