Hunter x Hunter, Vol. 21

Reunion

Hunter x Hunter, Vol. 21

The Chimera Ant king is born, bursting from the stomach of the queen--a violent birth for a violent being. He makes his first move on the neighboring country by manipulating its dictator to summon all the citizens to a ceremony at the capital. There he plans to Nen-baptize them, which will kill 99 percent of the population. The remaining one percent will have their Nen awakened, thus providing a healthy snack for the new king that not only tastes good but greatly increases his power. Can Gon and Killua find a way to stop this brutal Ant king? -- VIZ Media

Eerie Archives

Eerie Archives

The apocalypse arrives! Robots attack, alien invaders descend, and other threats strive to eradicate mankind! Fan-favorite characters the Rook, Darklon, and Hunter return, and Eerie issues #100 to #103 are collected! Brought to you by comic book titans Paul Gulacy, Jim Starlin, Larry Hama, Bill DuBay, Budd Lewis, Leo Duranona, Alfredo Alcala, Jose Ortiz, and more!

Hunter x Hunter, Vol. 5

Family Matters

Hunter x Hunter, Vol. 5

Gon's new friend Killua may have run away from home, but that doesn't mean his family is willing to let him leave. Killua's parents sent his older brother Illumi to keep an eye on him during the Hunter Exam, and now Illumi has convinced Killua to return to the family business of assassination. Gon is convinced that Killua must have been brainwashed, and sets out with Leorio and Kurapika to make an intervention. But before the newly licensed Hunters can try to talk some sense into Killua, they have to make it past the unstoppable guard beast that is trained to eat all visitors! -- VIZ Media

Graphic Novels: A Guide to Comic Books, Manga, and More, 2nd Edition

Graphic Novels: A Guide to Comic Books, Manga, and More, 2nd Edition

Covering genres from action/adventure and fantasy to horror, science fiction, and superheroes, this guide maps the vast and expanding terrain of graphic novels, describing and organizing titles as well as providing information that will help librarians to build and balance their graphic novel collections and direct patrons to read-alikes. • Introduces users to approximately 1,000 currently popular graphic novels and manga • Organizes titles by genre, subgenre, and theme to facilitate finding read-alikes • Helps librarians build and balance their graphic novel collections

Deadpool Classic Vol. 21

Dvx

Deadpool Classic Vol. 21

Collects Deadpool & Cable: Split Second #1-3, Deadpool V Gambit #1-5, Deadpool: Too Soon? #1-5 and material from Gwenpool Special #1, Gwenpool Holiday Special: Merry Mix-Up #1. Deadpool clashes with the X-Men in adventures that give new meaning to the word “classic”! First, a bromance is rekindled as Deadpool and Cable — the Merc with the Mouth and the Soldier with the Shoulders — face a fight for the future! Then, learn the secret shared history of the Regeneratin’ Degenerate and the Ragin’ Cajun as Wade and Gambit take on one last job together! Plus: The Forbush Man’s murder sparks fears that someone is targeting Marvel’s funniest characters for death. Deadpool must act before someone bumps off Squirrel Girl, Rocket Raccoon, Groot, Ant-Man, Howard the Duck and the Punisher?! And Deadpool takes on Halloween and Christmas!

Causal Inference for Statistics, Social, and Biomedical Sciences

An Introduction

Causal Inference for Statistics, Social, and Biomedical Sciences

Most questions in social and biomedical sciences are causal in nature: what would happen to individuals, or to groups, if part of their environment were changed? In this groundbreaking text, two world-renowned experts present statistical methods for studying such questions. This book starts with the notion of potential outcomes, each corresponding to the outcome that would be realized if a subject were exposed to a particular treatment or regime. In this approach, causal effects are comparisons of such potential outcomes. The fundamental problem of causal inference is that we can only observe one of the potential outcomes for a particular subject. The authors discuss how randomized experiments allow us to assess causal effects and then turn to observational studies. They lay out the assumptions needed for causal inference and describe the leading analysis methods, including matching, propensity-score methods, and instrumental variables. Many detailed applications are included, with special focus on practical aspects for the empirical researcher.