Intermediate confounding in trio relationships: The importance of complete data in effect size estimation.

Tubbs, Justin D; Zhang, Yan D; Sham, Pak C

Tubbs, Justin D; Zhang, Yan D; Sham, Pak C.

Affiliation

Tubbs JD; Department of Psychiatry, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China.
Zhang YD; Department of Statistics and Actuarial Science, Faculty of Science, University of Hong Kong, Hong Kong SAR, China.
Sham PC; Centre for PanorOmic Sciences, University of Hong Kong, Hong Kong SAR, China.

Genet Epidemiol ; 44(4): 395-399, 2020 06.

Article in En | MEDLINE | ID: mdl-32220115

Subject(s)

Models, Genetic; Child; Female; Genotype; Humans; Male; Maternal Inheritance/genetics; Paternal Inheritance/genetics; Phenotype

Key words

bias; confounding; maternal effect; paternal effect; trio

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Models, Genetic Type of study: Prognostic_studies Limits: Child / Female / Humans / Male Language: En Journal: Genet Epidemiol Journal subject: EPIDEMIOLOGIA / GENETICA MEDICA Year: 2020 Type: Article Affiliation country: China

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