Sunday, October 29, 2017

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






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