![]() ![]() In this assay, odronextamab bridges between two cell types, CD20-expressing HEK293 cells and CD3-expressing Jurkat T cells that generate a luciferase signal upon CD3 clustering. Novel agents and regimens for hematological malignancies: recent updates from 2020 ASH annual meetingĪ cell-based assay was developed to detect neutralizing anti-drug antibodies (NAbs) against odronextamab, a CD20xCD3 bispecific monoclonal antibody (mAb) under investigation for treatment of CD20+ B cell malignancies. Novel agents and regimens for hematological malignancies: recent updates from. Immunogenicity of immunomodulatory, antibody-based, oncology therapeutics Immunogenicity of immunomodulatory, antibody-based, oncology therapeuticsĬurrent and future treatment strategies in chronic lymphocytic leukemia Current and future treatment strategies in chronic lymphocytic leukemia B-cell depletion reveals a role for antibodies in the control of chronic HIV-1 infection Prevalence and pharmacological modulation of humoral immunity to AAV vectors in gene transfer to synovial tissueī-cell depletion reveals a role for antibodies in the control of chronic HIV. Prevalence and pharmacological modulation of humoral immunity to AAV vectors. Identification of a peptide-peptide binding motif in the coating of nab-paclitaxel nanoparticles with clinical antibodies: bevacizumab, rituximab, and trastuzumab Identification of a peptide-peptide binding motif in the coating of nab. Safety and Immunogenicity of Modified Vaccinia Ankara in Hematopoietic Stem Cell Transplant Recipients: A Randomized, Controlled Trial To calculate the post-hoc statistical power of an existing trial, please visit the post-hoc power analysis calculator.Safety and Immunogenicity of Modified Vaccinia Ankara in Hematopoietic Stem. ![]() Most medical literature uses a beta cut-off of 20% (0.2) - indicating a 20% chance that a significant difference is missed. Beta is directly related to study power (Power = 1 - β). Beta: The probability of a type-II error - not detecting a difference when one actually exists.Most medical literature uses an alpha cut-off of 5% (0.05) - indicating a 5% chance that a significant difference is actually due to chance and is not a true difference. Alpha: The probability of a type-I error - finding a difference when a difference does not exist.Treatment Effect Size: If the difference between two treatments is small, more patients will be required to detect a difference.Population Variance: The higher the variance (standard deviation), the more patients are needed to demonstrate a difference.Baseline Incidence: If an outcome occurs infrequently, many more patients are needed in order to detect a difference.Generally speaking, statistical power is determined by the following variables: Enrolling too many patients can be unnecessarily costly or time-consuming. By enrolling too few subjects, a study may not have enough statistical power to detect a difference (type II error). 1īefore a study is conducted, investigators need to determine how many subjects should be included. This calculator uses a number of different equations to determine the minimum number of subjects that need to be enrolled in a study in order to have sufficient statistical power to detect a treatment effect.
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