Common use of Statistical Hypotheses Clause in Contracts

Statistical Hypotheses. The null and alternative hypotheses are formulated in terms of the predefined margin of 0.05 for noninferiority: H0: µ(T) – µ(C) ≥ 0.05 Ha: µ(T) – µ(C) < 0.05 where µ(T) and µ(C) denote the mean distance VA for DT1 and Infuse, respectively, on the logMAR scale.

Appears in 1 contract

Samples: Investigator Agreement

AutoNDA by SimpleDocs

Statistical Hypotheses. The null and alternative hypotheses are formulated in terms of the predefined margin of 0.05 for noninferiority: H0: µ(T) – µ(C) ≥ 0.05 Ha: µ(T) – µ(C) < 0.05 where µ(T) and µ(C) denote the mean distance VA for DT1 PRECISION1 and InfuseClariti 1-Day, respectively, on the logMAR scale.

Appears in 1 contract

Samples: Investigator Agreement

Statistical Hypotheses. The null and alternative hypotheses are formulated in terms of the predefined margin of 0.05 for noninferiority: H0: µ(Tμ(T) – µ(Cμ(C) ≥ 0.05 Ha: µ(Tμ(T) – µ(Cμ(C) < 0.05 where µ(Tμ(T) and µ(Cμ(C) denote the mean distance VA for DT1 logMAR scale. and InfuseAOHP, respectively, on the logMAR scale.the

Appears in 1 contract

Samples: Investigator Agreement

AutoNDA by SimpleDocs

Statistical Hypotheses. The null and alternative hypotheses are formulated in terms of the predefined margin of 0.05 for noninferiority: H0: µ(T) – µ(C) ≥ 0.05 Ha: µ(T) – µ(C) < 0.05 where µ(T) and µ(C) denote the mean distance VA for DT1 PRECISION1 and InfuseBiotrue, respectively, on the logMAR scale.

Appears in 1 contract

Samples: Investigator Agreement

Time is Money Join Law Insider Premium to draft better contracts faster.