doi:10.1080/00223980.1961.9916482Heilbrun, Alfred B.Goodstein, Leonard D.Journal of PsychologyHEILBRUN, A. B., JR., & GOODSTEIN, L. D. Social desirability response set: Error or predictor vari- able. Journal of Psychology, 1961, 321-329.
5a–d). Importantly, clonal mutations33 were particularly a strong predictor of response and survival for CNS tumors (Extended Data Fig. 2). Collectively, these data suggest dual roles for SNVs and MS-indels in determining immunotherapy responses in replication repair-deficient cancers (Supplementary...
However, we find that tumor gene expression is a more powerful predictor of prognosis, across a wider range of cancer types, than microbial abundances. Moreover, we find five cancer-drug pairs where tumor microbial abundances are more predictive of patient drug response than clinical covariates ...
virtual function void connect_phase(uvm_phase phase); super.connect_phase(phase); //required to start physical register accesses using the registers reg_block.default_map.set_sequencer(apb_agent.sequencer, adapter); predictor.map = reg_block.default_map; predictor.adapter = adapter; apb_agent.mo...
Moreover, while previous studies have demonstrated that TCR clonality varies considerably across disease stages (Braun et al., 2021), our data identify baseline pre-treatment TCR clonality as a predictor of a clinical response to anti-PD-1. This observation of a potential biomarker may be ...
For the extrapolation of the high-quality (but local) information provided by the empirical amplification functions from instrumented sites, we resorted to site condition proxies (SCPs) as predictor variables. In fact, several studies have evidenced the correlation between topographical or geological ind...
Suppose the linear mixed-effects modellmehas ann-by-pfixed-effects design matrixXand ann-by-qrandom-effects design matrixZ. Also, suppose the estimatedp-by-1 fixed-effects vector isˆβ, and theq-by-1 estimated best linear unbiased predictor (BLUP) vector of random effects isˆb. The...
The larger part was then used for training a predictor (training set) and the smaller one for testing this predictor (test set). By alternating the cell lines that made up the training set, each cell line was used once for testing. Each of the N cross-validation steps included missing ...
was confirmed to be a predictor for anti-PD-1/PD-L1 immunotherapy efficacy in tumor [70]. Besides, the activated MYC pathway inhibited the immunotherapy response by upregulating the expression of PD-L1 and CD47 [71]. Also, we divided pan-cancer patients into 4 subgroups (HLHT, HLLT, LLHT...
For each variable, a logistic regression model was fitted including treatment group and the variable in question in the linear predictor. Only fresh treatment cycles were included in the present dataset. Results High AMH category versus non-high AMH category In both the long agonist protocol and ...