emaxPrior.control {clinDR} | R Documentation |

`fitEmaxB`

.
Set the parameters of the prior distribution for the Emax model implemented in `fitEmaxB.`

.

```
emaxPrior.control(epmu=NULL,epsca=NULL,
difTargetmu=NULL,difTargetsca=NULL,
dTarget=NULL,p50=NULL,
sigmalow=NULL,sigmaup=NULL,
effDF=parmDF,parmDF=5,
loged50mu=0.0,loged50sca=1.73,
loglammu=0.0,loglamsca=0.425,parmCor=-0.45,
basemu=NULL,basevar=NULL,binary=FALSE)
```

`epmu` |
Mean for |

`epsca` |
The scale parameter for |

`difTargetmu` |
Mean for the prior distribution of the effect at dose |

`difTargetsca` |
The scale parameter for the prior distribution of the effect at dose |

`dTarget` |
Target dose for prior effect. Typically the highest dose planned and/or the proof-of-concept dose. |

`p50` |
Projected |

`sigmalow` |
Lower bound for a uniform prior distribution for the residual SD (continuous data). |

`sigmaup` |
Upper bound for a uniform prior distribution for the residual SD (continuous data). |

`effDF` |
The degrees of freedom for the log-t prior distributions for the |

`parmDF` |
The degrees of freedom of the bivariate log-t prior distribution for the |

`loged50mu` |
Mean of prior t-distribution for the |

`loged50sca` |
Scale (analogous to SD) of the prior t-distribution for the |

`loglammu` |
Mean of prior t-distribution for the Hill parameter lambda. See references for its default value and interpretation. |

`loglamsca` |
Scale (analogous to SD) of the prior t-distribution for the Hill parameter lambda. |

`parmCor` |
Correlation for the bivariate log-t prior distribution for the |

`basemu` |
A vector of prior means for the covariate regression parameters. |

`basevar` |
The prior variance-covariance matrix for the covariate regression parameters. The covariate regression parameters are apriori independent of the other dose response model parameters. |

`binary` |
Set to |

The prior distribution is based on meta-analyses of dose response described in the references. The E0 and difTarget parameters have independent t-distribution prior distributions. For binary data, these parameters are computed on the logistic scale. The prior means and scales of these parameters must be assigned compound-specific values. The predicted ED50 at the study design stage must must also be specified as 'P50'. For continuous data, the prior distribution for the residual SD is uniform on a user-specifed scale.

The prior distribution of the log(ED50) has a t-distribution
centered at log(P50), with scale, degrees of freedom (parmDF),
and offset to the P50,
defaulting to values given in the references (these can be changed, but they
are difficult to interpret outside the context of the meta-analyses).
If `modType=4`

, the prior distribution for the Hill parameter
is also t-distribution with parmDF degrees of freedom and corParm
correlation with the log(ED50).

List of class `emaxPrior`

of prior parameter values for use in `fitEmaxB`

.

Neal Thomas

Thomas, N., Sweeney, K., and Somayaji, V. (2014). Meta-analysis of clinical dose response in a large drug development portfolio, Statistics in Biopharmaceutical Research, Vol. 6, No.4, 302-317. <doi:10.1080/19466315.2014.924876>

Thomas, N., and Roy, D. (2016). Analysis of clinical dose-response in small-molecule drug development: 2009-2014. Statistics in Biopharmaceutical Research, Vol. 6, No.4, 302-317 <doi:10.1080/19466315.2016.1256229>

Wu, J., Banerjee, A., Jin, B., Menon, S., Martin, S., and Heatherington, A. (2017). Clinical dose-response for a broad set of biological products: A model-based meta-analysis. Vol. 9, 2694-2721. <doi:10.1177/0962280216684528?>

`fitEmaxB`

[Package *clinDR* version 2.3.5 Index]