Description Usage Arguments Value See Also Examples

View source: R/assess_performance.R

Calculates several measures of model performance, based on results of fitting a model to all simulated datasets.

1 | ```
check_sims(df, true_rr)
``` |

`df` |
A data frame of replicated simulations which must include a column titled "Estimate" with the effect estimate from the fitted model. |

`true_rr` |
The true relative risk used to simulate the data. |

A dataframe with one row with model assessment across all simulations. Includes values for:

`beta_hat`

: Mean of the estimated log relative risk across all simulations.`rr_hat`

: Mean value of the estimated relative risk across all simulations.`var_across_betas`

: Variance of the estimated log relative risk across all simulations`mean_beta_var`

: The mean of the estimated variances of the estimated log relative risks across all simulations.`percent_bias`

: The relative bias of the estimated log relative risks compared to the true log relative risk.`coverage`

: Percent of simulations for which the estimated 95% confidence interval for log relative risk includes the true log relative risk.`power`

: Percent of simulations for which the null hypothesis that the log relative risk equals zero is rejected based on a p-value of 0.05.

The following functions are used to calculate these measurements:
`beta_bias`

, `beta_var`

, `coverage_beta`

,
`mean_beta`

, `power_beta`

1 2 3 4 5 6 7 8 9 10 | ```
sims <- create_sims(n_reps = 100, n = 1000, central = 100,
sd = 10, exposure_type = "continuous",
exposure_trend = "cos1",
exposure_amp = 0.6,
average_outcome = 20,
outcome_trend = "no trend",
rr = 1.02)
fits <- fit_mods(data = sims, custom_model = spline_mod,
custom_model_args = list(df_year = 1))
check_sims(df = fits, true_rr = 1.02)
``` |

eesim documentation built on June 4, 2017, 1:03 a.m.

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