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Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Paperback. Condition: Fair. A comprehensive introduction to modern applied statistical genetic data analysis, accessible to those without a background in molecular biology or genetics. Human genetic research is now relevant beyond biology, epidemiology, and the medical sciences, with applications in such fields as psychology, psychiatry, statistics, demography, sociology, and economics. With advances in computing power, the availability of data, and new techniques, it is now possible to integrate large-scale molecular genetic information into research across a broad range of topics. This book offers the first comprehensive introduction to modern applied statistical genetic data analysis that covers theory, data preparation, and analysis of molecular genetic data, with hands-on computer exercises. It is accessible to students and researchers in any empirically oriented medical, biological, or social science discipline; a background in molecular biology or genetics is not required. The book first provides foundations for statistical genetic data analysis, including a survey of fundamental concepts, primers on statistics and human evolution, and an introduction to polygenic scores. It then covers the practicalities of working with genetic data, discussing such topics as analytical challenges and data management. Finally, the book presents applications and advanced topics, including polygenic score and gene-environment interaction applications, Mendelian Randomization and instrumental variables, and ethical issues. The software and data used in the book are freely available and can be found on the book's website. Seller Inventory # CIN0262538385A
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Paperback. Condition: Good. A comprehensive introduction to modern applied statistical genetic data analysis, accessible to those without a background in molecular biology or genetics. Human genetic research is now relevant beyond biology, epidemiology, and the medical sciences, with applications in such fields as psychology, psychiatry, statistics, demography, sociology, and economics. With advances in computing power, the availability of data, and new techniques, it is now possible to integrate large-scale molecular genetic information into research across a broad range of topics. This book offers the first comprehensive introduction to modern applied statistical genetic data analysis that covers theory, data preparation, and analysis of molecular genetic data, with hands-on computer exercises. It is accessible to students and researchers in any empirically oriented medical, biological, or social science discipline; a background in molecular biology or genetics is not required. The book first provides foundations for statistical genetic data analysis, including a survey of fundamental concepts, primers on statistics and human evolution, and an introduction to polygenic scores. It then covers the practicalities of working with genetic data, discussing such topics as analytical challenges and data management. Finally, the book presents applications and advanced topics, including polygenic score and gene-environment interaction applications, Mendelian Randomization and instrumental variables, and ethical issues. The software and data used in the book are freely available and can be found on the book's website. Seller Inventory # 00108950455
Seller: World of Books Inc, Montgomery, IL, U.S.A.
Paperback. Condition: Fair. A comprehensive introduction to modern applied statistical genetic data analysis, accessible to those without a background in molecular biology or genetics. Human genetic research is now relevant beyond biology, epidemiology, and the medical sciences, with applications in such fields as psychology, psychiatry, statistics, demography, sociology, and economics. With advances in computing power, the availability of data, and new techniques, it is now possible to integrate large-scale molecular genetic information into research across a broad range of topics. This book offers the first comprehensive introduction to modern applied statistical genetic data analysis that covers theory, data preparation, and analysis of molecular genetic data, with hands-on computer exercises. It is accessible to students and researchers in any empirically oriented medical, biological, or social science discipline; a background in molecular biology or genetics is not required. The book first provides foundations for statistical genetic data analysis, including a survey of fundamental concepts, primers on statistics and human evolution, and an introduction to polygenic scores. It then covers the practicalities of working with genetic data, discussing such topics as analytical challenges and data management. Finally, the book presents applications and advanced topics, including polygenic score and gene-environment interaction applications, Mendelian Randomization and instrumental variables, and ethical issues. The software and data used in the book are freely available and can be found on the book's website. Seller Inventory # CIN0262538385A
Seller: Bellwetherbooks, McKeesport, PA, U.S.A.
paperback. Condition: Very Good. Very Good Condition - May show some limited signs of wear and may have a remainder mark. Pages and dust cover are intact and not marred by notes or highlighting. Seller Inventory # mon0000057540
Seller: Bellwetherbooks, McKeesport, PA, U.S.A.
paperback. Condition: Good. Bruise/tear to cover. Seller Inventory # mon0000057561
Seller: Bellwetherbooks, McKeesport, PA, U.S.A.
paperback. Condition: Fine. LIKE NEW!!! Has a red or black remainder mark on bottom/exterior edge of pages. Seller Inventory # mon0000057539
Seller: Scissortail, Oklahoma City, OK, U.S.A.
Condition: like_new. This is a used book in pristine condition. It has not yet been read. May or may not come in original packaging. May not contain codes CDs Inserts that is included with the book. Box sets will include original box in tact. Cover and interior may vary slightly from retail edition. *Your satisfaction is our 1 priority so please feel free to contact us if you have any questions or concerns about your purchase. Thank you for choosing to shop with us and happy reading! Seller Inventory # STM.OFK
Seller: Scissortail, Oklahoma City, OK, U.S.A.
Condition: like_new. This is a used book in pristine condition. It has not yet been read. May or may not come in original packaging. May not contain codes CDs Inserts that is included with the book. Box sets will include original box in tact. Cover and interior may vary slightly from retail edition. *Your satisfaction is our 1 priority so please feel free to contact us if you have any questions or concerns about your purchase. Thank you for choosing to shop with us and happy reading! Seller Inventory # STM.OFU
Seller: World of Books Inc, Montgomery, IL, U.S.A.
Paperback. Condition: Good. A comprehensive introduction to modern applied statistical genetic data analysis, accessible to those without a background in molecular biology or genetics. Human genetic research is now relevant beyond biology, epidemiology, and the medical sciences, with applications in such fields as psychology, psychiatry, statistics, demography, sociology, and economics. With advances in computing power, the availability of data, and new techniques, it is now possible to integrate large-scale molecular genetic information into research across a broad range of topics. This book offers the first comprehensive introduction to modern applied statistical genetic data analysis that covers theory, data preparation, and analysis of molecular genetic data, with hands-on computer exercises. It is accessible to students and researchers in any empirically oriented medical, biological, or social science discipline; a background in molecular biology or genetics is not required. The book first provides foundations for statistical genetic data analysis, including a survey of fundamental concepts, primers on statistics and human evolution, and an introduction to polygenic scores. It then covers the practicalities of working with genetic data, discussing such topics as analytical challenges and data management. Finally, the book presents applications and advanced topics, including polygenic score and gene-environment interaction applications, Mendelian Randomization and instrumental variables, and ethical issues. The software and data used in the book are freely available and can be found on the book's website. Seller Inventory # CIN0262538385G
Seller: HPB-Emerald, Dallas, TX, U.S.A.
paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_472879772