Advanced statistical analysis of epidemiological studies

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Danish adoption registry: An adoption study. • All (14427) adoptions to unrelated granted in DK 1924-47 • name, date of birth for ADoptee, Biologic Mother, Biologic Father, Adoptive Mother, Adoptive Father • address of AF, AM at time of adoption • dates of transfer and formal adoption 44
“Old” study. 1003 AD’s born 1924-26 followed until 1982: Sørensen, Nielsen, Andersen, Teasdale NEJM (1988). Status 1982 AD BF BM AF AM Alive in DK 765 114 367 64 163 Emigrated 75 32 27 4 8 Disappeared 1 4 2 1 0 Not followed 0 146 26 39 7 Dead 119 664 538 852 782 Total 960 960 960 960 960 45
Page 1 and 2: Ph.d. course in “Advanced statist
Page 3 and 4: Survival data. The hazard, h(t) pro
Page 5 and 6: Relation between rates and risks. W
Page 7 and 8: E.g., k = 3 causes: Competing risks
Page 9 and 10: Transition intensities Illness-deat
Page 11 and 12: Illness-death model, recurrent dise
Page 13 and 14: Models are given by intensities: Co
Page 15 and 16: Probabilities (risks) In survival a
Page 17 and 18: This means that the cumulative inci
Page 19 and 20: Censoring in survival studies Note
Page 21 and 22: Cox regression models for cause-spe
Page 23 and 24: Regression analysis of risks. The c
Page 25 and 26: Recurrent events. Suppose individua
Page 27 and 28: Register data. Kaplan-Meier estimat
Page 29 and 30: Random effects models. Random effec
Page 31 and 32: Study base: population followed fro
Page 33 and 34: Estimation of rate ratio θ: ( )
Page 35 and 36: θ case = exp(β 1 · exposure case
Page 37 and 38: The confounder is ascertained for t
Page 39 and 40: • Exposure, HPV-16 viral load, as
Page 41 and 42: Case cohort study t 0 t 1 S ❞ ❞
Page 43: Computations • SAS PROC PHREG, bu
Page 47 and 48: “New” study. All AD’s (12301)

Advanced statistical analysis of epidemiological studies

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