Jason Roy – författare

Bayesian Nonparametrics for Causal Inference and Missing Data provides an overview of flexible Bayesian nonparametric (BNP) methods for modeling joint or conditional distributions and functional relationships, and their interplay with causal inference and missing data. This book emphasizes the importance of making untestable assumptions to identify estimands of interest, such as missing at random assumption for missing data and unconfoundedness for causal inference in observational studies. Unlike parametric methods, the BNP approach can account for possible violations of assumptions and minimize concerns about model misspecification. The overall strategy is to first specify BNP models for observed data and then to specify additional uncheckable assumptions to identify estimands of interest.

The book is divided into three parts. Part I develops the key concepts in causal inference and missing data and reviews relevant concepts in Bayesian inference. Part II introduces the fundamental BNP tools required to address causal inference and missing data problems. Part III shows how the BNP approach can be applied in a variety of case studies. The datasets in the case studies come from electronic health records data, survey data, cohort studies, and randomized clinical trials.

Features

• Thorough discussion of both BNP and its interplay with causal inference and missing data

• How to use BNP and g-computation for causal inference and non-ignorable missingness

• How to derive and calibrate sensitivity parameters to assess sensitivity to deviations from uncheckable causal and/or missingness assumptions

• Detailed case studies illustrating the application of BNP methods to causal inference and missing data

• R code and/or packages to implement BNP in causal inference and missing data problems

The book is primarily aimed at researchers and graduate students from statistics and biostatistics. It will also serve as a useful practical reference for mathematically sophisticated epidemiologists and medical researchers.

Bayesian Nonparametrics for Causal Inference and Missing Data provides an overview of flexible Bayesian nonparametric (BNP) methods for modeling joint or conditional distributions and functional relationships, and their interplay with causal inference and missing data. This book emphasizes the importance of making untestable assumptions to identify estimands of interest, such as missing at random assumption for missing data and unconfoundedness for causal inference in observational studies. Unlike parametric methods, the BNP approach can account for possible violations of assumptions and minimize concerns about model misspecification. The overall strategy is to first specify BNP models for observed data and then to specify additional uncheckable assumptions to identify estimands of interest.

The book is divided into three parts. Part I develops the key concepts in causal inference and missing data and reviews relevant concepts in Bayesian inference. Part II introduces the fundamental BNP tools required to address causal inference and missing data problems. Part III shows how the BNP approach can be applied in a variety of case studies. The datasets in the case studies come from electronic health records data, survey data, cohort studies, and randomized clinical trials.

Features

• Thorough discussion of both BNP and its interplay with causal inference and missing data

• How to use BNP and g-computation for causal inference and non-ignorable missingness

• How to derive and calibrate sensitivity parameters to assess sensitivity to deviations from uncheckable causal and/or missingness assumptions

• Detailed case studies illustrating the application of BNP methods to causal inference and missing data

• R code and/or packages to implement BNP in causal inference and missing data problems

The book is primarily aimed at researchers and graduate students from statistics and biostatistics. It will also serve as a useful practical reference for mathematically sophisticated epidemiologists and medical researchers.

Biostatistics for the Biological and Health Sciences brings statistical theories and methods to life with real applications, emphasis on real data, and a friendly writing style. It suits a variety of students in their first statistics course and uses minimal algebra. Abundant examples and emphasis on real data help you develop skills in critical thinking, technology and communication. This collaboration from 2 biological sciences experts and the author of the #1 statistics book is an excellent introduction that is also highly readable, understandable and relevant.

The 3rd Edition incorporates the latest methods used by professional statisticians. It offers a wealth of new data sets, examples, and exercises (such as those involving clinical trials, COVID-19, biometrics, and anthropometrics) and includes features that address all recommendations included in the Guidelines for Assessment and Instruction in Statistics Education (GAISE) as recommended by the American Statistical Association.

Biostatistics for the Biological and Health Sciences brings statistical theories and methods to life with real applications, emphasis on real data, and a friendly writing style. It suits a variety of students in their first statistics course and uses minimal algebra. Abundant examples and emphasis on real data help you develop skills in critical thinking, technology and communication. This collaboration from 2 biological sciences experts and the author of the #1 statistics book is an excellent introduction that is also highly readable, understandable and relevant.

The 3rd Edition incorporates the latest methods used by professional statisticians. It offers a wealth of new data sets, examples, and exercises (such as those involving clinical trials, COVID-19, biometrics, and anthropometrics) and includes features that address all recommendations included in the Guidelines for Assessment and Instruction in Statistics Education (GAISE) as recommended by the American Statistical Association.

Biostatistics for the Biological and Health Sciences brings statistical theories and methods to life with real applications, emphasis on real data, and a friendly writing style. It suits a variety of students in their first statistics course and uses minimal algebra. Abundant examples and emphasis on real data help you develop skills in critical thinking, technology and communication. This collaboration from 2 biological sciences experts and the author of the #1 statistics book is an excellent introduction that is also highly readable, understandable and relevant.

The 3rd Edition incorporates the latest methods used by professional statisticians. It offers a wealth of new data sets, examples, and exercises (such as those involving clinical trials, COVID-19, biometrics, and anthropometrics) and includes features that address all recommendations included in the Guidelines for Assessment and Instruction in Statistics Education (GAISE) as recommended by the American Statistical Association.

Biostatistics for the Biological and Health Sciences brings statistical theories and methods to life with real applications, emphasis on real data, and a friendly writing style. It suits a variety of students in their first statistics course and uses minimal algebra. Abundant examples and emphasis on real data help you develop skills in critical thinking, technology and communication. This collaboration from 2 biological sciences experts and the author of the #1 statistics book is an excellent introduction that is also highly readable, understandable and relevant.

The 3rd Edition incorporates the latest methods used by professional statisticians. It offers a wealth of new data sets, examples, and exercises (such as those involving clinical trials, COVID-19, biometrics, and anthropometrics) and includes features that address all recommendations included in the Guidelines for Assessment and Instruction in Statistics Education (GAISE) as recommended by the American Statistical Association.

Biostatistics for the Biological and Health Sciences brings statistical theories and methods to life with real applications, emphasis on real data, and a friendly writing style. It suits a variety of students in their first statistics course and uses minimal algebra. Abundant examples and emphasis on real data help you develop skills in critical thinking, technology and communication. This collaboration from 2 biological sciences experts and the author of the #1 statistics book is an excellent introduction that is also highly readable, understandable and relevant.

The 3rd Edition incorporates the latest methods used by professional statisticians. It offers a wealth of new data sets, examples, and exercises (such as those involving clinical trials, COVID-19, biometrics, and anthropometrics) and includes features that address all recommendations included in the Guidelines for Assessment and Instruction in Statistics Education (GAISE) as recommended by the American Statistical Association.

Biostatistics for the Biological and Health Sciences brings statistical theories and methods to life with real applications, emphasis on real data, and a friendly writing style. It suits a variety of students in their first statistics course and uses minimal algebra. Abundant examples and emphasis on real data help you develop skills in critical thinking, technology and communication. This collaboration from 2 biological sciences experts and the author of the #1 statistics book is an excellent introduction that is also highly readable, understandable and relevant.

The 3rd Edition incorporates the latest methods used by professional statisticians. It offers a wealth of new data sets, examples, and exercises (such as those involving clinical trials, COVID-19, biometrics, and anthropometrics) and includes features that address all recommendations included in the Guidelines for Assessment and Instruction in Statistics Education (GAISE) as recommended by the American Statistical Association.

Do negative campaigns win elections? Do voters abandon candidates accused of scandalous behaviour? Do government apologies affect prospects for re-election? While many people assume the answer to each of these questions is yes, there is limited empirical evidence to support these assumptions. In this book, Jason Roy and Christopher Alcantara use a series of experiments to test these and other commonly held beliefs.

Each chapter draws upon contemporary events and literature to frame the issues and strategies. The findings suggest that not all of the assumptions that people have about the best strategies for winning and keeping political power hold up to empirical scrutiny. In fact, some work in ways that many readers may find surprising.

Original and innovative in its use of experimental methods, Winning and Keeping Power in Canadian Politics is a persuasive analysis of some of our most prominent and long-standing political myths. It will be a "go to" resource for journalists, strategists, scholars, and general readers alike.

Do negative campaigns win elections? Do voters abandon candidates accused of scandalous behaviour? Do government apologies affect prospects for re-election? While many people assume the answer to each of these questions is yes, there is limited empirical evidence to support these assumptions. In this book, Jason Roy and Christopher Alcantara use a series of experiments to test these and other commonly held beliefs.

Each chapter draws upon contemporary events and literature to frame the issues and strategies. The findings suggest that not all of the assumptions that people have about the best strategies for winning and keeping political power hold up to empirical scrutiny. In fact, some work in ways that many readers may find surprising.

Original and innovative in its use of experimental methods, Winning and Keeping Power in Canadian Politics is a persuasive analysis of some of our most prominent and long-standing political myths. It will be a "go to" resource for journalists, strategists, scholars, and general readers alike.

He relearned to do the things that many of us take for granted, including eating, dressing, and walking. Jason struggled to retake control of his life and fought against a system that is not friendly for those with disabilities. It is with tenacity for life, justice, his family, and his belief in a higher power that kept his will to fight when many others may have quit. We are extremely proud of Jason!Dr. Jeffrey Berliner, DO, TIRR Memorial Hermann

Sometimes you have to lose the life of your dreams to live your God-ordained destiny. What do you do when youve lost everything? How do you rebuild your life when youve lost the desire to live? These questions are at the core of From Zero to a Hundred, a story of hope and inspiration.

In From Zero to a Hundred, Jason Roy, a medically retired police officer turned inspirational speaker, details how he survived two near-death experiences and pushed through the pain to discover his purpose. Through life-altering spinal cord injuries, paralysis, bouts with depression, and suicidal thoughts, Jason fought to remain steadfast in his faith in God, accept his new reality, and live his God-ordained destiny.

He acknowledges that fear and doubt are normal responses to tragedy, but encourages us to step out on faith and be willing to lose everything to ultimately live the life of our dreams.