Medical Biostatistics (Google eBook)

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CRC Press, Nov 29, 2000 - Mathematics - 645 pages
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Medical Biostatistics comprehensively explains biostatistical concepts and methods in an easy-to-understand nonmathematical language with the help of many real-life examples, data sets, and figures. This is an ideal self-study guide for medical and health practitioners, including those taking membership examinations for professional bodies, and students in elementary and middle-level biostatistics courses!

Utilizing medical situations that emphasize biostatistical methods, this concise reference encapsulates the principal concepts and methods of biostatistics. It details the critical stages of planning, conducting, and interpreting data from health investigations in clinical, laboratory, or field settings, that promote reliable results from conceptualization to conclusion.

Containing over 500 references to the literature, equations, tables, drawings, as well as lists of notations, an extensive index of terms, and a summary of methods, Medical Biostatistics is a practical reference for biostatisticians and other applied statisticians, epidemiologists, medical and health practitioners and researchers, nursing and clinical professionals, nutritionists and medical technicians. It also forms an outstanding text for upper-level undergraduate and graduate students in these disciplines.
  

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Contents

Medical Uncertainties
1
11 UNCERTAINTIES IN HEALTH AND DISEASE
3
12 UNCERTAINTIES IN MEDICAL RESEARCH
10
13 UNCERTAINTIES IN HEALTH PLANNING AND EVALUATION
16
14 MANAGEMENT OF UNCERTAINTIESABOUT THIS BOOK
23
Architecture of Medical Studies Designs to Control Uncertainties
29
21 TYPES OF STUDIES AND THEIR DESIGNS
30
22 OBSERVATIONAL STUDIES
36
81 SAMPLING DISTRIBUTIONS
274
82 CONFIDENCE INTERVALS
285
83 PVALUES AND STATISTICAL SIGNIFICANCE
299
84 A DEBATE ON STATISTICAL SIGNIFICANCE
310
85 SAMPLE SIZE DETERMINATION IN SOME CASES
314
Inference from Proportions
327
91 ONE QUALITATIVE VARIABLE
328
92 PROPORTIONS IN 2 x 2 TABLES
341

23 EXPERIMENTAL STUDIES
48
Architecture of Medical Studies Sampling and Data Collection
65
31 SAMPLING CONCEPTS
66
32 METHODS OF RANDOM SAMPLING
70
33 DATA COLLECTION
79
34 SOME EXAMPLES OF SAMPLE SURVEYS
87
Numerical Methods to Represent Variation
97
42 TABULAR PRESENTATION
106
43 RATES AND RATIOS
110
44 CENTRAL AND OTHER LOCATIONS
112
45 MEASURING VARIABILITY
122
Presentation of Variation by Figures
129
51 FREQUENCY DISTRIBUTION
130
52 PIE BAR AND LINE DIAGRAMS
134
53 SPECIAL DIAGRAMS IN HEALTH AND MEDICINE
146
54 CHARTS AND MAPS
153
Quantitative Aspects of Medical Decisions
163
61 MEASUREMENT OF SOME ASPECTS OF HEALTH AND DISEASE
164
62 REFERENCE VALUES
180
63 MEASUREMENT OF UNCERTAINTYPROBABILITY
188
64 VALIDITY OF MEDICAL TESTS
198
65 RISKS AND BENEFITS OF MEDICAL INTERVENTION
211
Measurement of Community Health and Survival Analysis
219
71 INDICATORS OF MORTALITY
220
72 SURVIVAL
232
73 MEASURES OF MORBIDITY
246
74 INDICATORS OF SOCIAL AND MENTAL HEALTH
257
75 COMPOSITE INDICES OF HEALTH
266
Confidence Intervals and Principles of Tests of Significance
273
93 RELATIVE AND ATTRIBUTABLE RISKS AND ODDS RATIO LARGE n
354
94 ANALYSIS OF R x C TABLES LARGE n
376
95 THREEWAY TABLES
383
Inference from Means
393
101 COMPARISON OF MEANS IN ONE AND TWO GROUPS GAUSSIAN CONDITIONSSTUDENTS tTEST
394
102 COMPARISON OF MEANS IN THREE OR MORE GROUPS GAUSSIAN CONDITIONSANOVA FTEST
405
103 NONGAUSSIAN CONDITIONSNONPARAMETRIC TESTS FOR LOCATION
425
104 WHEN SIGNIFICANT IS NOT SIGNIFICANT
438
Relationship and Agreement
453
111 SOME GENERAL FEATURES OF A REGRESSION SETUP
455
112 BINARY DEPENDENTLOGISTIC REGRESSION LARGE n
464
113 RELATIONSHIP IN QUANTITATIVE VARIABLESREGRESSION
475
114 MEASURING THE STRENGTH OF A RELATIONSHIP
487
115 ASSESSMENT OF AGREEMENT
502
Simultaneous Consideration of Several Variables
513
121 DEPENDENT AND INDEPENDENT SETS OF VARIABLES
517
122 IDENTIFICATION OF STRUCTURE IN THE OBSERVATIONS
531
Quality Considerations
545
131 STATISTICAL QUALITY CONTROL IN MEDICAL CARE
546
132 QUALITY OF MEASUREMENTS
558
Statistical Fallacies
571
141 PROBLEMS WITH THE SAMPLE
572
142 ERRORS IN PRESENTATION OF FINDINGS
583
143 INADEQUATE ANALYSIS
590
144 MISINTERPRETATION
596
Statistical Software
607
Some Statistical Tables
611
Index
617
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