1. Left-censored dementia incidences in estimating cohort effects
- Author
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Gabriele Doblhammer, Anne Fink, Rafael Weißbach, Achim Dörre, and Yongdai Kim
- Subjects
Hazard rate ,01 natural sciences ,Article ,010104 statistics & probability ,Germany ,Cohort Effect ,0502 economics and business ,Confidence Intervals ,medicine ,Humans ,Dementia ,0101 mathematics ,050205 econometrics ,Censoring ,business.industry ,Incidence ,Applied Mathematics ,Incidence (epidemiology) ,Confidence interval ,05 social sciences ,Hazard ratio ,General Medicine ,medicine.disease ,Hazard ,Standard error ,Cohort effect ,Censoring (clinical trials) ,Conditional likelihood ,ddc:004 ,business ,Algorithms ,Demography - Abstract
We estimate the dementia incidence hazard in Germany for the birth cohorts 1900 until 1954 from a simple sample of Germany’s largest health insurance company. Followed from 2004 to 2012, 36,000 uncensored dementia incidences are observed and further 200,000 right-censored insurants included. From a multiplicative hazard model we find a positive and linear trend in the dementia hazard over the cohorts. The main focus of the study is on 11,000 left-censored persons who have already suffered from the disease in 2004. After including the left-censored observations, the slope of the trend declines markedly due to Simpson’s paradox, left-censored persons are imbalanced between the cohorts. When including left-censoring, the dementia hazard increases differently for different ages, we consider omitted covariates to be the reason. For the standard errors from large sample theory, left-censoring requires an adjustment to the conditional information matrix equality.
- Published
- 2020