Description Usage Arguments Details Value Examples

View source: R/assess_performance.R

This function returns the relative bias of the mean of the estimated coefficients.

1 |

`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. |

This function estimates the percent bias in the estimated log relative risk
(*b*) as:

*100 ((β - b) / β)*

where *b* is the mean of the estimated log relative risk values from all
simulations and *β* is the true log relative risk used to simulate the data.

A data frame with a single value: the percent bias of the mean of the estimated
coefficients over `n_reps`

simulations.

1 2 3 4 5 6 7 8 9 10 | ```
sims <- create_sims(n_reps = 10, n = 600, central = 100,
sd = 10, exposure_type = "continuous",
exposure_trend = "cos1",
exposure_amp = 0.6,
average_outcome = 20,
outcome_trend = "no trend",
rr = 1.01)
fits <- fit_mods(data = sims, custom_model = spline_mod,
custom_model_args = list(df_year = 1))
beta_bias(fits, true_rr = 1.02)
``` |

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

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