Calculate summary statistics

Calculate summary statistics for a sample of mendelian randomization (MR) data.

Usage

calculate_summary_statistics(sample)

Arguments

sample

An object of class sample

Value

A data frame of m + k rows and 12 columns

Details

The summary statistics are calculated for each SNP in the sample and include the following:

• beta_g_x: The beta coefficient of the simple linear regression of between the SNP g and the exposure x

• beta_se_g_x: The standard error of beta_g_x

• p_value_g_x: The p-value of beta_g_x

• f_statistic_g_x: The F-statistic of beta_g_x

• r2_g_x: The R-squared of the simple linear regression of between the SNP g and the exposure x

• beta_g_y: The beta coefficient of the simple linear regression of between the SNP g and the outcome y

• beta_se_g_y: The standard error of beta_g_y

• p_value_g_y: The p-value of beta_g_y

• f_statistic_g_y: The F-statistic of beta_g_y

• r2_g_y: The R-squared of the simple linear regression of between the SNP g and the outcome y