Ebook: Clinical Epidemiology and Biostatistics: A Primer for Clinical Investigators and Decision-Makers

Here is a book for clinicians, clinical investigators, trainees, and graduates who wish to develop their proficiency in the planning, execution, and interpretation of clinical and epidemiological research. Emphasis is placed on the design and analysis of research studies involving human subjects where the primary interest concerns principles of analytic (cause-and- effect) inference. The topic is presented from the standpoint of the clinician and assumes no previous knowledge of epidemiology, research design or statistics. Extensive use is made of illustrative examples from a variety of clinical specialties and subspecialties. The book is divided into three parts. Part I deals with epidemiological research design and analytic inference, including such issues as measurement, rates, analytic bias, and the main forms of observational and experimental epidemiological studies. Part II presents the principles and applications of biostatistics, with emphasis on statistical inference. Part III comprises four chapters covering such topics as diagnostic tests, decision analysis, survival (life-table) analysis, and causality.

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Here is a book for clinicians, clinical investigators, trainees, and graduates who wish to develop their proficiency in the planning, execution, and interpretation of clinical and epidemiological research. Emphasis is placed on the design and analysis of research studies involving human subjects where the primary interest concerns principles of analytic (cause-and- effect) inference. The topic is presented from the standpoint of the clinician and assumes no previous knowledge of epidemiology, research design or statistics. Extensive use is made of illustrative examples from a variety of clinical specialties and subspecialties. The book is divided into three parts. Part I deals with epidemiological research design and analytic inference, including such issues as measurement, rates, analytic bias, and the main forms of observational and experimental epidemiological studies. Part II presents the principles and applications of biostatistics, with emphasis on statistical inference. Part III comprises four chapters covering such topics as diagnostic tests, decision analysis, survival (life-table) analysis, and causality.

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Here is a book for clinicians, clinical investigators, trainees, and graduates who wish to develop their proficiency in the planning, execution, and interpretation of clinical and epidemiological research. Emphasis is placed on the design and analysis of research studies involving human subjects where the primary interest concerns principles of analytic (cause-and- effect) inference. The topic is presented from the standpoint of the clinician and assumes no previous knowledge of epidemiology, research design or statistics. Extensive use is made of illustrative examples from a variety of clinical specialties and subspecialties. The book is divided into three parts. Part I deals with epidemiological research design and analytic inference, including such issues as measurement, rates, analytic bias, and the main forms of observational and experimental epidemiological studies. Part II presents the principles and applications of biostatistics, with emphasis on statistical inference. Part III comprises four chapters covering such topics as diagnostic tests, decision analysis, survival (life-table) analysis, and causality.
Content:
Front Matter....Pages I-XII
Front Matter....Pages 1-1
Introduction....Pages 3-10
Measurement....Pages 11-24
Rates....Pages 25-36
Epidemiologic Research Design: an Overview....Pages 37-46
Analytic Bias....Pages 47-57
Observational Cohort Studies....Pages 58-77
Clinical Trials....Pages 78-92
Case-Control Studies....Pages 93-112
Cross-Sectional Studies....Pages 113-117
Front Matter....Pages 119-119
Introduction to Statistics....Pages 121-123
Descriptive Statistics and Data Display....Pages 124-136
Hypothesis Testing and P Values....Pages 137-145
Statistical Inference for Continuous Variables....Pages 146-164
Statistical Inference for Categorical Variables....Pages 165-186
Linear Correlation and Regression....Pages 187-198
Front Matter....Pages 199-199
Diagnostic Tests....Pages 201-219
Decision Analysis....Pages 220-235
Life-Table (Survival) Analysis....Pages 236-253
Causality....Pages 254-269
Back Matter....Pages 271-286

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Here is a book for clinicians, clinical investigators, trainees, and graduates who wish to develop their proficiency in the planning, execution, and interpretation of clinical and epidemiological research. Emphasis is placed on the design and analysis of research studies involving human subjects where the primary interest concerns principles of analytic (cause-and- effect) inference. The topic is presented from the standpoint of the clinician and assumes no previous knowledge of epidemiology, research design or statistics. Extensive use is made of illustrative examples from a variety of clinical specialties and subspecialties. The book is divided into three parts. Part I deals with epidemiological research design and analytic inference, including such issues as measurement, rates, analytic bias, and the main forms of observational and experimental epidemiological studies. Part II presents the principles and applications of biostatistics, with emphasis on statistical inference. Part III comprises four chapters covering such topics as diagnostic tests, decision analysis, survival (life-table) analysis, and causality.
Content:
Front Matter....Pages I-XII
Front Matter....Pages 1-1
Introduction....Pages 3-10
Measurement....Pages 11-24
Rates....Pages 25-36
Epidemiologic Research Design: an Overview....Pages 37-46
Analytic Bias....Pages 47-57
Observational Cohort Studies....Pages 58-77
Clinical Trials....Pages 78-92
Case-Control Studies....Pages 93-112
Cross-Sectional Studies....Pages 113-117
Front Matter....Pages 119-119
Introduction to Statistics....Pages 121-123
Descriptive Statistics and Data Display....Pages 124-136
Hypothesis Testing and P Values....Pages 137-145
Statistical Inference for Continuous Variables....Pages 146-164
Statistical Inference for Categorical Variables....Pages 165-186
Linear Correlation and Regression....Pages 187-198
Front Matter....Pages 199-199
Diagnostic Tests....Pages 201-219
Decision Analysis....Pages 220-235
Life-Table (Survival) Analysis....Pages 236-253
Causality....Pages 254-269
Back Matter....Pages 271-286
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