Clinical Biostatistics Made Ridiculously Simple

ISBN-10: 1935660020

ISBN-13: 9781935660026

Edition: 2011

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The most important points in clinical biostatistics, presented intuitively with clinical examples. Valuable not only for biostatistics courses and medical Board review, but for providing a lasting clear approach to interpreting medical research reports.
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Book details

List price: $22.95
Copyright year: 2011
Publisher: MedMaster, Incorporated
Binding: Paperback
Pages: 128
Size: 5.75" wide x 8.75" long x 0.25" tall
Weight: 0.660
Language: English

Population, Sample, and Element
Descriptive vs. Inferential Statistics
Parameter vs. Statistic
Sampling Error vs. Selection Bias
Imprecision vs. Bias (Inaccuracy)
Validity vs. Reliability
Independent vs. Dependent Variables
Normal (Gaussian), Skewed, and Kurtotic curves
Multiplication and Addition Rules of Probability
Statistical Significance vs. Clinical Significance
Statistical Abnormality vs. Clinical Abnormality
Mean, Median, and Mode
What's Wrong Here? *#!!
Range, Variance, and Standard Deviation
Standard Deviation
Coefficient of Variation
Kinds of Data
Nominal Data
Ordinal Data
Interval Data
Ratio Data
Research Design
Kinds of Studies
Randomized Control Studies
Matching Studies
Stratified Randomization Studies
Blind Studies
Prospective (Cohort; Longitudinal) Studies
Retrospective (Case-control) Studies
Cross-sectional (Prevalence) Studies
Experimental vs. Observational Studies
Case Series and Case Reports
Crossover, Between-subjects, and Within-subjects Studies
Therapeutic Trials
Kinds of Graphs
Bar Graphs (Bar Charts)
Line Graphs
Cumulative Frequency Curves
Box-and-Whiskers Plots
Stem-and-Leaf Plots
Survival Curves
Hypothesis Testing
The Null and Alternative Hypotheses
Rejecting the Null Hypothesis
Statistical Tests
Parametric vs. Nonparametric Tests
Descriptive Statistics
The Z-score
Inferential Statistics
Confidence Intervals vs. Hypothesis Testing and P-values
Standard Error of the Mean (SEM)
The Central Limit Theorem
Standard Error of the Mean
The t-Test
The Meaning of the t-Test
Comparing Two Samples
One-Tailed Vs. Two-Tailed Studies
The Two-Tailed Test
The One-Tailed Test
P-Ing (PEE-ING) All Over the Place
Type I and Type II Errors
Type I and Type II Errors
Effect Size
Bayesian Thinking
Calculation of Sample Size
ANOVA (Analysis of Variance)
ANOVA and F-ratio
Correlation and Regression
Correlation Techniques
Correlation Does Not Mean Causation
Criteria of Causality
Kinds of Regression Analysis
Regression to the Mean
Nonparametric Tests
Chi-Square (X<sup>2</sup>) Goodness-of-Fit Test
Nonparametric Tests That Use Ranking
Nonparametric Tests That Do Not Use Ranking
Epidemiological Tests
Incidence vs. Prevalence
Mortality, Morbidity, and Case Fatality
Absolute Risk vs. Relative Risk (RR)
Odds and Odds Ratio (Relative Odds)
Absolute Risk Reduction (Attributable Risk) vs. Relative Risk Reduction
Number Needed to Treat (NNT)
Number Needed to Harm (NNH)
Sensitivity vs. Specificity
Positive and Negative Predictive Values
Are the Research Conclusions Correct?
What's Wrong Here?
Who Says So?
How Does the Researcher Know?
What's Missing?
Did Someone Change the Subject?
Does It Make Sense?
The Z table
The t table
The Chi-Square Table
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