Quasi-Monte Carlo Methods for Binary Event Models with Complex Family Data

Benjamin Christoffersena Division of Robotics, Perception and Learning, KTH Royal Institute of Technology, Stockholm, Sweden;b Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden;c Swedish e-Science Research Center (SeRC), Stockholm, SwedenCorrespondence[email protected]

https://orcid.org/0000-0002-7182-1346 View further author information

Behrang Mahjanib Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden;d Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NYView further author information

Mark Clementsb Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden;c Swedish e-Science Research Center (SeRC), Stockholm, SwedenView further author information

Hedvig Kjellströma Division of Robotics, Perception and Learning, KTH Royal Institute of Technology, Stockholm, Sweden;c Swedish e-Science Research Center (SeRC), Stockholm, SwedenView further author information

Keith Humphreysb Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden;c Swedish e-Science Research Center (SeRC), Stockholm, SwedenView further author information

Quasi-Monte Carlo Methods for Binary Event Models with Complex Family Data

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