Calculations¶
Below is documentation for each of the implemented calculation functionalities for summary data.
Measures¶
risk_ci (events, total[, alpha, confint]) |
Calculate two-sided risk confidence intervals |
incidence_rate_ci (events, time[, alpha]) |
Calculate two-sided incidence rate confidence intervals. |
risk_ratio (a, b, c, d[, alpha]) |
Calculates the risk ratio and confidence intervals from count data. |
risk_difference (a, b, c, d[, alpha]) |
Calculates the risk difference and confidence intervals from count data. |
number_needed_to_treat (a, b, c, d[, alpha]) |
Calculates the number needed to treat and confidence intervals from count data. |
odds_ratio (a, b, c, d[, alpha]) |
Calculates the odds ratio and confidence interval from count data |
incidence_rate_ratio (a, c, t1, t2[, alpha]) |
Calculates the incidence rate ratio and confidence intervals from count data |
incidence_rate_difference (a, c, t1, t2[, alpha]) |
Calculates the incidence rate difference and confidence intervals from count data |
attributable_community_risk (a, b, c, d) |
Calculates the estimated attributable community risk (ACR) from count data. |
population_attributable_fraction (a, b, c, d) |
Calculates the population attributable fraction (PAF) from count data |
Diagnostics¶
sensitivity (detected, cases[, alpha, confint]) |
Calculate the sensitivity from number of detected cases and the number of total true cases. |
specificity (detected, noncases[, alpha, confint]) |
Calculate the specificity from number of false detections and the number of total non-cases. |
ppv_converter (sensitivity, specificity, …) |
Generates the positive predictive value from designated sensitivity, specificity, and prevalence. |
npv_converter (sensitivity, specificity, …) |
Generates the negative predictive value from designated sensitivity, specificity, and prevalence. |
screening_cost_analyzer (cost_miss_case, …) |
Compares the cost of sensivitiy/specificity of screening criteria to treating the entire population as test-negative and test-positive. |
Others¶
probability_to_odds (prob) |
Converts given probability (proportion) to odds |
odds_to_probability (odds) |
Converts given odds to probability (proportion) |
counternull_pvalue (estimate, lcl, ucl[, …]) |
Calculates the counternull p-value. |
semibayes (prior_mean, prior_lcl, prior_ucl, …) |
A simple Bayesian Analysis. |
rubins_rules (point_estimates, std_error) |
Function to merge multiple imputed data sets into a single summary estimate and variance. |
s_value (pvalue) |
Function to calculate the S-value. |