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Biostatistics for Population Health: a Primer: A Primer [Pehme köide]

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  • Formaat: Paperback / softback, 100 pages, kaal: 255 g
  • Ilmumisaeg: 16-Apr-2020
  • Kirjastus: Jones and Bartlett Publishers, Inc
  • ISBN-10: 1284194264
  • ISBN-13: 9781284194265
Teised raamatud teemal:
Biostatistics for Population Health: a Primer: A PrimerSuurem pilt
  • Formaat: Paperback / softback, 100 pages, kaal: 255 g
  • Ilmumisaeg: 16-Apr-2020
  • Kirjastus: Jones and Bartlett Publishers, Inc
  • ISBN-10: 1284194264
  • ISBN-13: 9781284194265
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781284194265.html
Märksõnad:

Biostatistics for Population Health: A Primer offers current and future health professionals a clear, and accessible approach to learning the basic tools and techniques necessary to conduct biostatistical analyses and the confidence to critically evaluate and interpret biostatistical findings.



A&P Binding: PB Saleable

Written for undergraduate and graduate students with little or no mathematical background, Biostatistics for Population Health: A Primer offers current and future health professionals a clear, and accessible approach to learning the basic tools and techniques necessary to conduct biostatistical analyses and the professional confidence to critically evaluate and interpret biostatistical findings.

Each unit begins with a contemporary population health issue (e.g., the opioid crisis, physical inactivity among children, diabetes) and raises questions that require the use of techniques discussed in that unit. Each technique, in turn, is illustrated with realistic, contemporary examples (e.g. vaping) to pique student interest. By the end of the unit, students are encouraged to apply the techniques to address the questions that were raised.

Key Features:

•Contemporary, realistic examples and straightforward approach makes material accessible to students with minimal background.

•Statistical and mathematical notation is kept to a minimum with focus on application and interpretation.

•Key points summarized at the end of each unit and a comprehensive glossary provide helpful references for students

•Concise length makes this text an easy and affordable supplement for a variety of courses.

•The instructor guide offers helpful suggestions and resources to engage students and encourage active learning.

•An accompanying test bank provides students the opportunity to build skills, intuition and confidence.
Acknowledgment v
Introduction vii
Unit 1 Summarizing Data for Decision Making
1(38)
A Population Health Issue---The Opioid Crisis in the United States
1(1)
Populations and Samples
2(37)
1.1 Data, Measurement, and Variables
3(2)
Dichotomous Variables
4(1)
Categorical Variables
4(1)
Ordinal Variables
4(1)
Continuous Variables
5(1)
1.2 Descriptive Statistics
5(7)
Descriptive Statistics for Dichotomous Variables
6(1)
Descriptive Statistics for Categorical and Ordinal Variables
7(1)
Descriptive Statistics for Continuous or Measurement Variables
8(4)
1.3 Risks, Rates, and Ratios and Their Use in Population Health
12(8)
Risks
14(1)
Rates
15(2)
Ratios
17(3)
1.4 Graphical Displays of Data
20(14)
Distributions
21(4)
Comparing Groups
25(4)
Summarizing Associations
29(3)
Trends over Time
32(2)
1.5 Summary
34(5)
Key Points
36(1)
References
37(2)
Unit 2 Associations Between Two Variables
39(78)
A Population Health Issue---Physical Inactivity Among Children Worldwide Is Raising Concerns
39(78)
2.1 Concepts and Applications of Probability
40(3)
2.2 Screening and Diagnostic Tests
43(8)
Performance Measures of Screening Tests
43(6)
Bayes' Rule
49(2)
2.3 Probability Models
51(7)
The Normal Distribution
51(5)
The Standard Normal Distribution
56(1)
Using z Scores for Comparisons
57(1)
2.4 Estimation
58(20)
The Central Limit Theorem
59(2)
Confidence Interval Estimates
61(1)
Confidence Interval Estimates for a Population Mean or a Population Proportion
62(3)
Confidence Intervals Comparing Means in Two Independent Groups
65(2)
Confidence Intervals Comparing Means in Two Matched or Paired Groups
67(2)
Confidence Intervals Comparing Proportions, Risks, and Rates in Two Independent Groups
69(5)
Confidence Intervals Comparing Proportions and Risks in Two Matched or Paired Groups
74(4)
2.5 Tests of Hypothesis for Means and Proportions
78(28)
Errors in Statistical Tests
82(1)
Hypothesis Tests for a Population Mean or a Population Proportion
83(2)
Hypothesis Tests Comparing Means in Two Independent Groups
85(2)
Hypothesis Tests Comparing Means in Two Matched or Paired Groups
87(2)
Hypothesis Tests Comparing Means in More than Two Groups
89(9)
Hypothesis Tests Comparing Proportions in Two or More Independent Groups
98(5)
Hypothesis Tests Comparing Proportions in Two Matched or Paired Groups
103(3)
2.6 Correlation Analysis
106(4)
Estimating a Correlation
106(2)
Confidence Interval Estimate for a Population Correlation
108(2)
Hypothesis Test for a Population Correlation
110(1)
2.7 Summary
110(7)
Key Points
113(1)
References
114(3)
Unit 3 Multivariate Analysis
117(42)
A Population Health Issue---Diabetes Prevalence Increasing Worldwide
117(42)
3.1 Bias, Confounding, and Effect Modification
118(1)
3.2 Approaches to Address Confounding
119(4)
3.3 Data Considerations for Multivariable Modelling
123(2)
3.4 Multivariable Linear Regression Analysis
125(8)
Crude, Unadjusted Linear Regression Models
125(4)
Multivariable, Adjusted Linear Regression Models
129(4)
3.5 Multivariable Logistic Regression Analysis
133(10)
Crude, Unadjusted Logistic Regression Models
134(4)
Multivariable, Adjusted Logistic Regression Models
138(5)
3.6 Survival Analysis
143(8)
Estimating a Survival Function
143(3)
Comparing Survival in Two or More Independent Groups
146(1)
Cox Proportional Hazards Regression Analysis
147(4)
3.7 Summary
151(8)
Key Points
155(1)
References
155(4)
Glossary 159(10)
Index 169
'Lisa M. Sullivan, PhD, is the associate dean for education, professor and former chair of biostatistics at the Boston University School of Public Health.' Her scholarship is in development and evaluation of risk prediction models mainly for a range of cardiovascular outcomes in the Framingham Heart Study and include the risk functions for coronary heart disease which featured prominently in the National Cholesterol Education Programs Adult Treatment Panel III.' She also has experience with randomized clinical trials and large, international observational studies of the effects of various exposures and treatments on adverse outcomes of pregnancy.' She has published over 220 scientific journal articles and several book chapters on these topics.' She is author of Essentials of Biostatistics in Public Health, currently in it 3rd edition.' She is also co-author of Introductory Applied Biostatistics, co-editor of Teaching Public Health, and was co-editor-in-chief of the Encyclopedia of Clinical Trials.' Sullivan was the Principal Investigator for the Boston University Summer Institute for Training in Biostatistics, continuously funded since 2004, designed to interest undergraduates in the field of biostatistics.' She is also the former Co-Director of the Graduate Program in Biostatistics at Boston University.' Sullivan has won numerous awards for excellence in teaching both at the undergraduate and graduate levels, including the Norman A. Scotch Award for Excellence in Teaching which is presented annually to an individual who has made outstanding and sustained contributions to the education program at Boston University School of Public Health. She was awarded the prestigious Metcalf Award for Excellence in Teaching at Boston University and also the ASPH/Pfizer Award for Teaching Excellence - an award given annually to the outstanding teacher in accredited schools of public health in North America.' She also received the Outstanding Teaching Award from the Section on Teaching Statistics in the Health Sciences of the American Statistical Association, the Massachusetts ACE National Network of Women Leaders Leadership Award and the Mosteller Statistician of the Year award presented by the Boston Chapter of the American Statistical Association.