## Health and Numbers: A Problems-Based Introduction to BiostatisticsLike 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. |

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love dis book, its been so helpful in making me understand biostats

### Contents

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 |

271 | |

Answers to Selected Exercises | 281 |

303 | |

### Other editions - View all

Health and Numbers: A Problems-Based Introduction to Biostatistics Chap T. Le No preview available - 2010 |

### Common terms and phrases

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