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Prevalence
Sample size for apparent or sero-prevalence
Sample size to estimate true prevalence
Estimated true prevalence with an imperfect test
Simulated true prevalence with an imperfect test
Bayesian estimation of true prevalence from survey testing with one test
Bayesian estimation of true prevalence from survey testing with two tests
Compare 2 prevalence estimates
Analyse 2-stage prevalence data
Freedom
FreeCalc
Sample Size
Analyse results
Risk based 1-stage
Sample Size - single level
Sample Size - single level - different sensitivity
Sensitivity - single level
Sensitivity - single level - different sensitivity
Representative 1-stage
Sample size - perfect test specificity
Sample size - pooled sampling in a large population
Sample size for target confidence of freedom
Population sensitivity - constant unit sensitivity
Population sensitivity - varying unit sensitivity
Population sensitivity - pooled sampling
Back-calculate design prevalence
Confidence of freedom for a single time period
Confidence of freedom for multiple time periods
Representative 2-stage
Least-cost sample sizes from sampling frame
Least-cost sample sizes - no sampling frame
Sample sizes - specified cluster sensitivity
Analyse 2-stage survey - fixed sample size
Analyse 2-stage survey - actual data
Stochastic analysis - 2-stage freedom data
Studies
Significance
Statistical analysis of numeric data
t-test or Wilcoxon signed rank test on paired data
2-sample t-test on summary data
1-sample t-test on summary data
1-sample test for mean or median compared to population estimate
z-test for a single sample proportion
z-test to compare 2 sample proportions
Summary statistics for a 2 by 2 table
Chi-squared test for r x c tables
Chi-squared test from cross-tabulation of raw data
Chi-squared test for homogeneity of a sample
Chi-squared test for trend
Mantel-Haenszel for stratified 2x2 tables
McNemar's test for paired data
Probability Distributions
Single Beta distribution from mode and 5/95 percentiles
Single Beta distribution from count data
Beta distributions for given α and β parameters
Pert distributions for given minimum, mode and maximum values
Multiple Beta distributions
Summarise Binomial distribution
t distributions
normal distributions
F distributions
chi-squared distributions
Bioequivalence analysis
Summarise
Continuous data single column
Continuous data grouped by category
2 by 2 table
Confidence limits
Proportion
Mean value
Median Value
Difference between 2 proportions
Difference between 2 means
Diagnostics
Compare two tests
2 tests in parallel or series
Positive and negative predictive values for a test
Probabilities of numbers of false positives
Probability of infection in a test-negative sample
Likelihood ratios and probability of infection in a tested individual
Estimated true prevalence and predictive values from survey testing
Test evaluation against a gold standard
ROC analysis for test with continuous outcome
Repeatability analysis for test with continuous outcome
Sampling
With Sampling Frame
Geographic Coordinates
Owner List
Random Number List
English
Chinese
French
German
Indonesian
Spanish
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Random sampling from populations
Practical utilities to help with selecting a random sample either with or without a sampling frame.
Random sampling from a sampling frame
Random geographic coordinate sampling
Random sampling of animals from a list of owners
Generate a list of random numbers from a specified range or from a list
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Ausvet
with funding from a range of sources. It provides a range of epidemiological tools for the use of researchers and epidemiologists. Please submit any comments, questions or suggestions
here
.