Understanding Data
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Understanding Data A Guide To Statistical Methods In Medical Research
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-05-20
Understanding Data A Guide To Statistical Methods In Medical Research written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-20 with Medical categories.
Master the art of statistical analysis in medical research with this comprehensive and practical guide! In the world of medical research, statistics are a powerful tool that helps researchers uncover hidden insights, draw meaningful conclusions, and make informed decisions. Whether you're a seasoned researcher or just starting out, this book provides a thorough foundation in statistical methods specifically tailored to the field of medicine. With clear explanations, real-world examples, and step-by-step instructions, this book guides you through the fundamental concepts of statistics, from descriptive statistics and probability to inferential statistics and advanced statistical techniques. It covers a wide range of topics, including: * **Hypothesis testing:** Learn how to formulate and test hypotheses, evaluate the strength of evidence, and draw valid conclusions from your data. * **Confidence intervals:** Understand the concept of confidence intervals and their role in estimating population parameters with a known degree of certainty. * **Correlation and regression:** Explore the relationship between variables and uncover patterns and trends in your data using correlation and regression analysis. * **Analysis of variance:** Discover how to compare multiple groups of data and identify significant differences among them using analysis of variance (ANOVA). * **Nonparametric statistics:** Delve into nonparametric statistical methods that are particularly useful when dealing with data that does not follow a normal distribution. In addition to these core statistical concepts, the book also delves into specialized statistical methods used in medical research, such as: * **Clinical trials:** Learn how to design, conduct, and analyze clinical trials to evaluate the effectiveness and safety of new treatments. * **Observational studies:** Gain insights into the relationship between risk factors and health outcomes through observational studies, such as cohort studies and case-control studies. * **Meta-analysis:** Discover how to combine the results of multiple studies to obtain a more precise and reliable estimate of the overall effect. * **Survival analysis:** Understand the methods used to analyze data related to the time it takes for an event to occur, such as disease progression or patient survival. With its comprehensive coverage, clear explanations, and practical examples, this book is an invaluable resource for researchers, students, and healthcare professionals seeking to enhance their understanding of statistical methods and their application in medical research. It empowers readers to make informed decisions, contribute to the advancement of medical knowledge, and ultimately improve patient care. If you like this book, write a review on google books!
Statistics Made Simple A Beginner S Guide To Understanding Data
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-05-15
Statistics Made Simple A Beginner S Guide To Understanding Data written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-15 with Mathematics categories.
Embark on a Statistical Odyssey with "Statistics Made Simple: A Beginner's Guide to Understanding Data" In an era where data permeates every aspect of our lives, "Statistics Made Simple" emerges as an indispensable guide for navigating the vast ocean of information that surrounds us. This comprehensive book is designed to transform you from a statistical novice into a confident data explorer, empowering you to make informed decisions and uncover hidden insights. Within these pages, you'll embark on a journey through the captivating world of statistics, where abstract concepts are transformed into practical tools for understanding the world around us. Discover the secrets of probability, the language of uncertainty, and learn how to draw meaningful conclusions from seemingly random events. Delve into the realm of descriptive statistics, where we unveil the secrets of data organization, presentation, and interpretation. Understand the significance of measures of central tendency, variability, shape, and association, and gain the skills to present data in a clear and compelling manner. But statistics is not just about describing data; it's also about making inferences and drawing conclusions. In this book, you'll master the art of inferential statistics, learning how to test hypotheses, construct confidence intervals, and conduct regression analysis. Unlock the power of statistical tools to make informed predictions and reliable generalizations. Beyond the theoretical foundations, "Statistics Made Simple" takes you on a tour of the vielfältige applications of statistics across various fields. Explore how statistics revolutionizes business, finance, healthcare, education, and countless other domains. Discover the hidden patterns and relationships that drive human behavior, economic trends, and natural phenomena. As we venture into the future of statistics, we encounter the exciting convergence of cutting-edge technologies like artificial intelligence and big data analytics. Learn how these advancements are transforming the way we collect, analyze, and interpret data, opening up new possibilities for data-driven decision-making. With its clear explanations, engaging examples, and comprehensive coverage, "Statistics Made Simple" is the ultimate companion for anyone seeking to master the language of data. Whether you're a student, a professional, or simply someone curious about the world around you, this book will equip you with the statistical skills and knowledge to navigate the complexities of the 21st century. If you like this book, write a review on google books!
The Art Of Statistical Analysis Understanding Data With Spss
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-04-25
The Art Of Statistical Analysis Understanding Data With Spss written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-25 with Science categories.
Embark on a data exploration journey with "The Art of Statistical Analysis: Understanding Data with SPSS," your ultimate guide to mastering statistical analysis and unlocking the power of data. Written in a clear and engaging style, this comprehensive book caters to readers of all levels, from students and researchers to business professionals and policymakers. Within these pages, you will delve into the realm of statistics, gaining a solid understanding of fundamental concepts and techniques. Discover how to organize, summarize, and interpret data effectively using descriptive statistics. Progress into inferential statistics, learning to test hypotheses, draw conclusions from samples, and make informed decisions based on data. Unleash the power of regression analysis to uncover relationships between variables and make accurate predictions. Delve into non-parametric statistics, a valuable tool for analyzing data without stringent assumptions. Explore advanced statistical techniques such as time series analysis, factor analysis, cluster analysis, and discriminant analysis to uncover hidden patterns, group similar observations, and classify data points with precision. "The Art of Statistical Analysis" goes beyond theoretical explanations, providing numerous real-world examples and step-by-step instructions to illustrate the practical applications of statistical analysis. Each chapter concludes with a summary of key points and exercises to reinforce learning and assess understanding. Whether you are a novice seeking to embark on a journey into the world of statistical analysis or a seasoned professional looking to expand your knowledge, this book is an invaluable resource. Gain the skills and insights necessary to navigate the ever-evolving landscape of data analysis and make informed decisions based on solid statistical evidence. With "The Art of Statistical Analysis: Understanding Data with SPSS," you hold the key to unlocking the secrets hidden within data. Transform raw information into actionable insights and make data-driven decisions that drive success. If you like this book, write a review on google books!
Understanding Data Analytics And Predictive Modelling In The Oil And Gas Industry
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Author : Kingshuk Srivastava
language : en
Publisher: CRC Press
Release Date : 2023-11-20
Understanding Data Analytics And Predictive Modelling In The Oil And Gas Industry written by Kingshuk Srivastava and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-20 with Technology & Engineering categories.
This book covers aspects of data science and predictive analytics used in the oil and gas industry by looking into the challenges of data processing and data modelling unique to this industry. It includes upstream management, intelligent/digital wells, value chain integration, crude basket forecasting, and so forth. It further discusses theoretical, methodological, well-established, and validated empirical work dealing with various related topics. Special focus has been given to experimental topics with various case studies. Features: Provides an understanding of the basics of IT technologies applied in the oil and gas sector Includes deep comparison between different artificial intelligence techniques Analyzes different simulators in the oil and gas sector as well as discussion of AI applications Focuses on in-depth experimental and applied topics Details different case studies for upstream and downstream This book is aimed at professionals and graduate students in petroleum engineering, upstream industry, data analytics, and digital transformation process in oil and gas.
Understanding Data
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Author : B Erickson
language : en
Publisher: McGraw-Hill Education (UK)
Release Date : 1992-09-16
Understanding Data written by B Erickson and has been published by McGraw-Hill Education (UK) this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992-09-16 with Social Science categories.
For statistics to be used by sociologists, and especially by students of sociology, they must first be easy to understand and use. Accordingly this book is aimed at that legion of professional sociologists and students who have always feared numbers; it employs much visual display, for example, as an easy way into the data. Also, the book is written in a relaxed and enthusiastic way that reassures apprehensive students without watering down what they must be taught. Classical statistics were developed to meet the requirements of the natural sciences; as such they reflect the more deductive nature of hypothesis development in these sciences. However, they have offered the sociologists little in the way of techniques for exploring messy data in the context of incomplete theories. This book attempts to remedy those weaknesses, and it emphasizes exploratory data techniques which sociologists will find useful in their day-to-day research. The primary characteristics of exploratory techniques discussed by the authors are simplicity, resistance and elucidation. Its coverage is from basic statistics up to multiple regression and two-way anova. The inter-relationship between exploratory and confirmatory techniques is stressed, and, through the alternating presentation of each, the students learn to master data analysis: to be and to feel in control.
Building Spss Graphs To Understand Data
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Author : James O. Aldrich
language : en
Publisher: SAGE
Release Date : 2013
Building Spss Graphs To Understand Data written by James O. Aldrich and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Computers categories.
This handy guide can be used in conjunction with any introductory or intermediate statistics book where the focus is on in-depth presentation of how graphs are used.
Cloud Scale Analytics With Azure Data Services
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Author : Patrik Borosch
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-07-23
Cloud Scale Analytics With Azure Data Services written by Patrik Borosch and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-23 with Computers categories.
A practical guide to implementing a scalable and fast state-of-the-art analytical data estate Key FeaturesStore and analyze data with enterprise-grade security and auditingPerform batch, streaming, and interactive analytics to optimize your big data solutions with easeDevelop and run parallel data processing programs using real-world enterprise scenariosBook Description Azure Data Lake, the modern data warehouse architecture, and related data services on Azure enable organizations to build their own customized analytical platform to fit any analytical requirements in terms of volume, speed, and quality. This book is your guide to learning all the features and capabilities of Azure data services for storing, processing, and analyzing data (structured, unstructured, and semi-structured) of any size. You will explore key techniques for ingesting and storing data and perform batch, streaming, and interactive analytics. The book also shows you how to overcome various challenges and complexities relating to productivity and scaling. Next, you will be able to develop and run massive data workloads to perform different actions. Using a cloud-based big data-modern data warehouse-analytics setup, you will also be able to build secure, scalable data estates for enterprises. Finally, you will not only learn how to develop a data warehouse but also understand how to create enterprise-grade security and auditing big data programs. By the end of this Azure book, you will have learned how to develop a powerful and efficient analytical platform to meet enterprise needs. What you will learnImplement data governance with Azure servicesUse integrated monitoring in the Azure Portal and integrate Azure Data Lake Storage into the Azure MonitorExplore the serverless feature for ad-hoc data discovery, logical data warehousing, and data wranglingImplement networking with Synapse Analytics and Spark poolsCreate and run Spark jobs with Databricks clustersImplement streaming using Azure Functions, a serverless runtime environment on AzureExplore the predefined ML services in Azure and use them in your appWho this book is for This book is for data architects, ETL developers, or anyone who wants to get well-versed with Azure data services to implement an analytical data estate for their enterprise. The book will also appeal to data scientists and data analysts who want to explore all the capabilities of Azure data services, which can be used to store, process, and analyze any kind of data. A beginner-level understanding of data analysis and streaming will be required.
Predictive Analytics Using Oracle Data Miner
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Author : Brendan Tierney
language : en
Publisher: McGraw Hill Professional
Release Date : 2014-08-08
Predictive Analytics Using Oracle Data Miner written by Brendan Tierney and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-08 with Computers categories.
Build Next-Generation In-Database Predictive Analytics Applications with Oracle Data Miner “If you have an Oracle Database and want to leverage that data to discover new insights, make predictions, and generate actionable insights, this book is a must read for you! In Predictive Analytics Using Oracle Data Miner: Develop & Use Oracle Data Mining Models in Oracle Data Miner, SQL & PL/SQL, Brendan Tierney, Oracle ACE Director and data mining expert, guides you through the basic concepts of data mining and offers step-by-step instructions for solving data-driven problems using SQL Developer’s Oracle Data Mining extension. Brendan takes it full circle by showing you how to deploy advanced analytical methodologies and predictive models immediately into enterprise-wide production environments using the in-database SQL and PL/SQL functionality. Definitely a must read for any Oracle data professional!” --Charlie Berger, Senior Director Product Management, Oracle Data Mining and Advanced Analytics Perform in-database data mining to unlock hidden insights in data. Written by an Oracle ACE Director, Predictive Analytics Using Oracle Data Miner shows you how to use this powerful tool to create and deploy advanced data mining models. Covering topics for the data scientist, Oracle developer, and Oracle database administrator, this Oracle Press guide shows you how to get started with Oracle Data Miner and build Oracle Data Miner models using SQL and PL/SQL packages. You'll get best practices for integrating your Oracle Data Miner models into applications to automate the discovery and distribution of business intelligence predictions throughout the enterprise. Install and configure Oracle Data Miner for Oracle Database 11g Release 11.2 and Oracle Database 12c Create Oracle Data Miner projects and workflows Prepare data for data mining Develop data mining models using association rule analysis, classification, clustering, regression, and anomaly detection Use data dictionary views and prepare your data using in-database transformations Build and use data mining models using SQL and PL/SQL packages Migrate your Oracle Data Miner models, integrate them into dashboards and applications, and run them in parallel Build transient data mining models with the Predictive Queries feature in Oracle Database 12c
The Data Warehouse Challenge
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Author : Michael H. Brackett
language : en
Publisher:
Release Date : 1996-07-27
The Data Warehouse Challenge written by Michael H. Brackett and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-07-27 with Computers categories.
Information Technology/Database Management "...the definitive source for understanding modern data architecture. Other books have bits and pieces of architecture described, but nowhere else is there a single source that has all the components of modern data architecture in one place in an organized and readable manner." -From the Foreword by William H. Inmon The technology for compiling data has evolved to the point where most organizations now amass information faster than they can use it. The bad news is that most of that data is disparate, scattered across different databases and platforms. The time has come to tame the data chaos, and this invaluable resource shows you how. Michael H. Brackett schools you in a variety of techniques for creating a cohesive data structure that everyone in your organization can use. Step-by-step, he guides you through the entire process of planning, building, and programming a data warehouse tailored to your organization's needs. You learn how to: * Prepare and evaluate existing data for a data warehouse * Cross reference data so it's easy to find in all corporate locations * Prepare data for client/server systems * Improve the consistency and quality of existing and future data * Manage a data warehouse The Data Warehouse Challenge is an indispensable tool for database administrators and developers, systems programmers and analysts, and all those involved with helping their organizations rise to the challenge of taming data chaos.
Understanding Computers
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Author : Don Cassel
language : en
Publisher:
Release Date : 1990
Understanding Computers written by Don Cassel and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Computers categories.