Common errors in statistics (and how to avoid them) /
"The Fourth Edition of this tried-and-true book elaborates on many key topics such as epidemiological studies, distribution of data; baseline data incorporation; case control studies; simulations; statistical theory publication; biplots; instrumental variables; ecological regression; result rep...
Saved in:
Main Authors: | |
---|---|
Group Author: | |
Published: |
|
Literature type: | eBook |
Language: | English |
Edition: | Fourth edition. |
Subjects: | |
Online Access: |
http://onlinelibrary.wiley.com/book/10.1002/9781118360125 |
Summary: |
"The Fourth Edition of this tried-and-true book elaborates on many key topics such as epidemiological studies, distribution of data; baseline data incorporation; case control studies; simulations; statistical theory publication; biplots; instrumental variables; ecological regression; result reporting, survival analysis; etc. Including new modifications and figures, the book also covers such topics as research plan creation; data collection; hypothesis formulation and testing; coefficient estimates; sample size specifications; assumption checking; p-values interpretations and confidence intervals; counts and correlated data; model building and testing; Bayes' Theorem; bootstrap and permutation tests; and more"-- |
Carrier Form: | 1 online resource. |
Bibliography: | Includes bibliographical references and index. |
ISBN: |
9781118360118 (ePub) 1118360117 (ePub) 9781118360095 (MobiPocket) 1118360095 (MobiPocket) 9781118360132 ( Adobe PDF) 1118360133 ( Adobe PDF) 9781118360125 (electronic bk.) 1118360125 (electronic bk.) 1118294394 (pbk.) 9781118294390 (pbk.) 9781280699399 (MyiLibrary) 1280699396 (MyiLibrary) |
Index Number: | QA276 |
CLC: | O21 |
Contents: | Common Errors in Statistics (and How to Avoid Them); Contents; Preface; Part I: FOUNDATIONS; Chapter 1: Sources of Error; PRESCRIPTION; FUNDAMENTAL CONCEPTS; SURVEYS AND LONG-TERM STUDIES; AD-HOC, POST-HOC HYPOTHESES; TO LEARN MORE; Chapter 2: Hypotheses: The Why of Your Research; PRESCRIPTION; WHAT IS A HYPOTHESIS?; HOW PRECISE MUST A HYPOTHESIS BE?; FOUND DATA; NULL OR NIL HYPOTHESIS; NEYMAN-PEARSON THEORY; DEDUCTION AND INDUCTION; LOSSES; DECISIONS; TO LEARN MORE; Chapter 3: Collecting Data; PREPARATION; RESPONSE VARIABLES; DETERMINING SAMPLE SIZE; FUNDAMENTAL ASSUMPTIONS. |