Essential medical statistics
I tiakina i:
| Kaituhi matua: | |
|---|---|
| Kaituhi rangatōpū: | |
| Ētahi atu kaituhi: | |
| Hōputu: | Tāhiko īPukapuka |
| Reo: | Ingarihi |
| I whakaputaina: |
Malden, Mass. :
Blackwell Pub.,
2003.
|
| Putanga: | 2nd ed. |
| Ngā marau: | |
| Urunga tuihono: | An electronic book accessible through the World Wide Web; click to view |
| Ngā Tūtohu: |
Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
|
Rārangi ihirangi:
- Using this book
- Defining the data
- Displaying the data
- Means, standard deviations and standard errors
- The normal distribution
- Confidence interval for a mean
- Comparison of two means: confidence intervals, hypothesis tests and P-values
- Using P-values and confidence intervals to interpret the results of statistical analyses
- Comparison of means from several groups: analysis of variance
- Linear regression and correlation
- Multiple regression
- Goodness of fit and regression diagnostics
- Transformations
- Probability, risks and odds (of disease)
- Proportions and the binomial distribution
- Comparing two proportions
- Chi-squared tests for 2 x 2 and larger contingency tables
- Controlling for confounding: stratification
- Logistic regression: comparing two or more exposure groups
- Logistic regression: controlling for confounding and other extensions
- Matched studies
- Longitudinal studies, rates and the Poisson distribution
- Comparing rates
- Poisson regression
- Standardization
- Survival analysis: displaying and comparing survival patterns
- Regressional analysis of survival data
- Likelihood
- Regression modelling
- Relaxing model assumptions
- Analysis of clustered data
- Systematic reviews and meta-analysis
- Bayesian statistics
- Linking analysis to study design: summary of methods
- Calculation of required sample size
- Measurement error: assessment and implications
- Measures of association and impact
- Strategies for analysis
- Appendix: statistical tables.