This function returns the relative bias of the mean of the estimated coefficients.
A data frame of replicated simulations which must include a column titled "Estimate" with the effect estimate from the fitted model.
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
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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)
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