Health and Numbers: A Problems-Based Introduction to BiostatisticsJohn Wiley & Sons, 20/09/2011 - 336 من الصفحات Like its two successful previous editions, Health & Numbers: A Problems-Based Introduction to Biostatistics, Third Edition, is the only fully problems-based introduction to biostatistics and offers a concise introduction to basic statistical concepts and reasoning at a level suitable for a broad spectrum of students and professionals in medicine and the allied health fields. This book has always been meant for use by advanced students who have not previously had an introductory biostatistics course - material often presented in a one-semester course - or by busy professionals who need to learn the basics of biostatistics. This user-friendly resource features over 200 real-life examples and real data to discuss and teach fundamental statistical methods. The new edition offers even more exercises than the second edition, and features enhanced Microsoft Excel and SAS samples and examples. Health & Numbers, Third Edition, truly strikes a balance between principles and methods of calculation that is particularly useful for students in medicine and health-related fields who need to know biostatistics. |
المحتوى
1 | |
Exercises | 31 |
Organization Summarization and Presentation of Data | 52 |
Exercises | 82 |
Probability and Probability Models | 98 |
Confidence Estimation | 135 |
Introduction to Hypothesis Testing | 171 |
Comparison of Population Proportions | 186 |
Comparison of Population Means | 215 |
Regression Analysis | 243 |
Bibliography | 271 |
Answers to Selected Exercises | 281 |
Index | 303 |
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عبارات ومصطلحات مألوفة
2Â2 table age group alternative hypotheses ANOVA binary Biostatistics birth weight Calculate the 95 calculate the odds case–control study cell Central Limit Theorem Chapter chart cholesterol cholesterol level clearly your null column confidence interval Controls correlation coefficient cumulative frequency data set death rate defined degrees of freedom disease effect modification estimate example exposure F Statistic fiber figure find finding first histogram independent variables infants investigation lung cancer males measured median myocardial infarction negative nodal involvement normal curve normal distribution null and alternative null hypothesis number of deaths observed obtained odds ratio odds ratio associated p-value parameter patients population mean positive probability relationship risk factor sample mean sampling distribution scatter diagram specific standard deviation standard error standard normal statistically significant study was conducted systolic blood pressure t-test test statistic Test to compare Total two-sided Type II error variance versus women