A statistical test for whether the assumption that exposure causes outcome is valid
Arguments
- r_exp
Vector of correlations of SNP-exposure
- r_out
Vector of correlations of SNP-outcome
- n_exp
Sample sizes for p_exp
- n_out
Sample sizes for p_out
- r_xxo
Measurememt precision of exposure
- r_yyo
Measurement precision of outcome
- ...
Further arguments to be passed to
lattice::wireframe()
Value
List with the following elements:
- r2_exp
Estimated variance explained in x
- r2_out
Estimated variance explained in y
- r2_exp_adj
Predicted variance explained in x accounting for estimated measurement error
- r2_out_adj
Predicted variance explained in y accounting for estimated measurement error
- correct_causal_direction
TRUE/FALSE- steiger_test
p-value for inference of direction
- correct_causal_direction_adj
TRUE/FALSE, direction of causality for given measurement error parameters- steiger_test_adj
p-value for inference of direction of causality for given measurement error parameters
- vz
Total volume of the error parameter space
- vz0
Volume of the parameter space that gives the incorrect answer
- vz1
Volume of the paramtere space that gives the correct answer
- sensitivity_ratio
Ratio of vz1/vz0. Higher means inferred direction is less susceptible to measurement error
- sensitivity_plot
Plot of parameter space of causal directions and measurement error