Valen E Johnson
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Explore the profile of Valen E Johnson including associated specialties, affiliations and a list of published articles.
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50
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1764
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Recent Articles
1.
Laine C, Johnson V, Scott H, Arenas-Gamboa A
Emerg Infect Dis
. 2023 Aug;
29(9):1789-1797.
PMID: 37610167
Brucellosis is a major public health concern worldwide, especially for persons living in resource-limited settings. Historically, an evidence-based estimate of the global annual incidence of human cases has been elusive....
2.
Rahman S, Johnson V, Rao S
IEEE Access
. 2023 Jun;
10:116844-116857.
PMID: 37275750
Clustering is a challenging problem in machine learning in which one attempts to group objects into groups based on features measured on each object. In this article, we examine the...
3.
Johnson V, Pramanik S, Shudde R
Proc Natl Acad Sci U S A
. 2023 Feb;
120(8):e2217331120.
PMID: 36780516
Bayes factors represent a useful alternative to -values for reporting outcomes of hypothesis tests by providing direct measures of the relative support that data provide to competing hypotheses. Unfortunately, the...
4.
Pramanik S, Johnson V, Bhattacharya A
J Math Psychol
. 2022 May;
101.
PMID: 35496657
We describe a modified sequential probability ratio test that can be used to reduce the average sample size required to perform statistical hypothesis tests at specified levels of significance and...
5.
Pramanik S, Johnson V
Psychol Methods
. 2022 Apr;
29(2):243-261.
PMID: 35420854
Bayesian hypothesis testing procedures have gained increased acceptance in recent years. A key advantage that Bayesian tests have over classical testing procedures is their potential to quantify information in support...
6.
Nikooienejad A, Johnson V
Bayesian Anal
. 2021 Jun;
16(1):93-109.
PMID: 34113418
Uniformly most powerful Bayesian tests (UMPBT's) are an objective class of Bayesian hypothesis tests that can be considered the Bayesian counterpart of classical uniformly most powerful tests. Because the rejection...
7.
Shin M, Bhattachrya A, Johnson V
J Am Stat Assoc
. 2021 Mar;
115(532):1784-1797.
PMID: 33716358
We introduce a new shrinkage prior on function spaces, called the functional horseshoe prior (fHS), that encourages shrinkage towards parametric classes of functions. Unlike other shrinkage priors for parametric models,...
8.
Yoshihama S, Cho S, Yeung J, Pan X, Lizee G, Konganti K, et al.
Sci Rep
. 2021 Feb;
11(1):3258.
PMID: 33547395
Checkpoint blockade-mediated immunotherapy is emerging as an effective treatment modality for multiple cancer types. However, cancer cells frequently evade the immune system, compromising the effectiveness of immunotherapy. It is crucial...
9.
Nikooienejad A, Wang W, Johnson V
Ann Appl Stat
. 2021 Jan;
14(2):809-828.
PMID: 33456641
Efficient variable selection in high dimensional cancer genomic studies is critical for discovering genes associated with specific cancer types and for predicting response to treatment. Censored survival data is prevalent...
10.
Gao F, Pan X, Dodd-Eaton E, Recio C, Montierth M, Bojadzieva J, et al.
Genome Res
. 2020 Aug;
30(8):1170-1180.
PMID: 32817165
De novo mutations (DNMs) are increasingly recognized as rare disease causal factors. Identifying DNM carriers will allow researchers to study the likely distinct molecular mechanisms of DNMs. We developed Famdenovo...