Applied biostatistics for the health sciences / Richard J. Rossi.

By: Rossi, Richard J, 1956-Material type: Text

TextLanguage: English Publication details: Hoboken : John Wiley & Sons, Inc., 2022. Edition: 2nd edDescription: xv, 667 p. : ill. ; 26 cmISBN: 9781119722694Subject(s): Medical statistics | Statistics | BiometryDDC classification: 610.72 LOC classification: R853.S7 | R67 2010Online resources: WorldCat Details

Contents:

Table of contents Introduction to biostatistics Describing populations Random sampling Summarizing random samples Measuring the reliability of statistics Confidence intervals Testing statistical hypotheses Simple linear regression Multiple regression Logistic regression Design of experiments Analysis of variance Survival analysis

Summary: "Prior to the twentieth century, medical research was primarily based on trial and error and empirical evidence. Diseases and the risk factors associated with a disease were not well understood. Drugs and treatments for treating diseases were generally untested. The rapid scientific breakthroughs and technological advances that took place in the latter half of the twentieth century have provided the modern tools and methods that are now being used in the study of the causes of diseases, the development and testing of new drugs and treatments, and the study of human genetics and have been instrumental in eradicating some infectious diseases. Modern biomedical research is evidence-based research that relies on the scientific method, and in many biomedical studies it is the scientific method that guides the formulation of well-defined research hypotheses, the collection of data through experiments and observation, and the honest analysis whether the observed data support the research hypotheses. When the data in a biomedical study support a research hypothesis, the research hypothesis becomes a theory; however, when data do not support a research hypothesis, new hypotheses are generally developed and tested. Furthermore, because statistics is the science of collecting, analyzing, and interpreting data, statistics plays a very important role in medical research today. In fact, one of the fastest growing areas of statistical research is the development of specialized data collection and analysis methods for biomedical and healthcare data. The science of collecting, analyzing, and interpreting biomedical and healthcare data is called biostatistics"--

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode	Item holds
Text	Dr. S. R. Lasker Library, EWU Reserve Section	Non-fiction	610.72 ROA 2022 (Browse shelf(Opens below))	C-1	Not For Loan		31412
Text	Dr. S. R. Lasker Library, EWU Circulation Section	Non-fiction	610.72 ROA 2022 (Browse shelf(Opens below))	C-2	Checked out	11/06/2024	31419

Total holds: 0

Includes bibliographical references and index.

Table of contents Introduction to biostatistics
Describing populations
Random sampling
Summarizing random samples
Measuring the reliability of statistics
Confidence intervals
Testing statistical hypotheses
Simple linear regression
Multiple regression
Logistic regression
Design of experiments
Analysis of variance
Survival analysis

"Prior to the twentieth century, medical research was primarily based on trial and error and empirical evidence. Diseases and the risk factors associated with a disease were not well understood. Drugs and treatments for treating diseases were generally untested. The rapid scientific breakthroughs and technological advances that took place in the latter half of the twentieth century have provided the modern tools and methods that are now being used in the study of the causes of diseases, the development and testing of new drugs and treatments, and the study of human genetics and have been instrumental in eradicating some infectious diseases. Modern biomedical research is evidence-based research that relies on the scientific method, and in many biomedical studies it is the scientific method that guides the formulation of well-defined research hypotheses, the collection of data through experiments and observation, and the honest analysis whether the observed data support the research hypotheses. When the data in a biomedical study support a research hypothesis, the research hypothesis becomes a theory; however, when data do not support a research hypothesis, new hypotheses are generally developed and tested. Furthermore, because statistics is the science of collecting, analyzing, and interpreting data, statistics plays a very important role in medical research today. In fact, one of the fastest growing areas of statistical research is the development of specialized data collection and analysis methods for biomedical and healthcare data. The science of collecting, analyzing, and interpreting biomedical and healthcare data is called biostatistics"--

Population and Public Health Sciences Social Relations

Sagar Shahanawaz

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