Showing 701 - 708 results of 708 for search '"posterior probabilities"', query time: 0.12s Refine Results
  1. 701

    Association between genetically proxied PCSK9 inhibition and prostate cancer risk: A Mendelian randomisation study. by Si Fang, James Yarmolinsky, Dipender Gill, Caroline J Bull, Claire M Perks, PRACTICAL Consortium, George Davey Smith, Tom R Gaunt, Tom G Richardson

    Published 2023-01-01
    “…Colocalization analyses identified strong evidence (posterior probability (PPA) = 81.3%) of a shared genetic variant (rs553741) between liver-derived PCSK9 expression and PrCa risk, whereas weak evidence was found for HMGCR (PPA = 0.33%) and NPC1L1 expression (PPA = 0.38%). …”
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    Article
  2. 702

    Phylogenetics of four sections of genus Dendrobium sw. (Orchidaceae) in Peninsular Malaysia by Moudi, Maryam

    Published 2013
    “…Individual and combined analysis of the five gene regions (rbcL, matK, trnL-F, nrITS and Xdh) supported the monophyletic status (Boot strap Replicate and Posterior Probability more than 90%) of four sections (Aporum, Crumenata, Strongyle and Bolbidium) compared to the other three sections (Dendrobium, Callista and Latouria). …”
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    Thesis
  3. 703

    Visual and lidar-based SLAM by variational bayesian methods by Jiang, Xiaoyue

    Published 2020
    “…Conversely, smoothing approaches consist in the estimation of the offline problem, and typically produce a maximum a posterior probability (MAP) estimate by least square error minimization. …”
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    Thesis-Doctor of Philosophy
  4. 704

    Association between genetically proxied PCSK9 inhibition and prostate cancer risk: A Mendelian randomisation study by Si Fang, James Yarmolinsky, Dipender Gill, Caroline J. Bull, Claire M. Perks, George Davey Smith, Tom R. Gaunt, Tom G. Richardson

    Published 2023-01-01
    “…Colocalization analyses identified strong evidence (posterior probability (PPA) = 81.3%) of a shared genetic variant (rs553741) between liver-derived PCSK9 expression and PrCa risk, whereas weak evidence was found for HMGCR (PPA = 0.33%) and NPC1L1 expression (PPA = 0.38%). …”
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    Article
  5. 705

    Numerical analysis of some Bayesian inverse problems by Quek, Jia Hao

    Published 2019
    “…We aim to find the posterior probability which is the conditional probability of the unknown given the observations. …”
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    Thesis
  6. 706

    Association between circulating inflammatory markers and adult cancer risk: a Mendelian randomization analysisResearch in context by James Yarmolinsky, Jamie W. Robinson, Daniela Mariosa, Ville Karhunen, Jian Huang, Niki Dimou, Neil Murphy, Kimberley Burrows, Emmanouil Bouras, Karl Smith-Byrne, Sarah J. Lewis, Tessel E. Galesloot, Lambertus A. Kiemeney, Sita Vermeulen, Paul Martin, Demetrius Albanes, Lifang Hou, Polly A. Newcomb, Emily White, Alicja Wolk, Anna H. Wu, Loïc Le Marchand, Amanda I. Phipps, Daniel D. Buchanan, Sizheng Steven Zhao, Dipender Gill, Stephen J. Chanock, Mark P. Purdue, George Davey Smith, Paul Brennan, Karl-Heinz Herzig, Marjo-Riitta Järvelin, Chris I. Amos, Rayjean J. Hung, Abbas Dehghan, Mattias Johansson, Marc J. Gunter, Kostas K. Tsilidis, Richard M. Martin, Maria Teresa Landi, Victoria Stevens, Ying Wang, Demetrios Albanes, Neil Caporaso, Paul Brennan, Christopher I. Amos, Sanjay Shete, Rayjean J. Hung, Heike Bickeböller, Angela Risch, Richard Houlston, Stephen Lam, Adonina Tardon, Chu Chen, Stig E. Bojesen, Mattias Johansson, H-Erich Wichmann, David Christiani, Gadi Rennert, Susanne Arnold, John K. Field, Loic Le Marchand, Olle Melander, Hans Brunnström, Geoffrey Liu, Angeline Andrew, Lambertus A. Kiemeney, Hongbing Shen, Shan Zienolddiny, Kjell Grankvist, Mikael Johansson, M. Dawn Teare, Yun-Chul Hong, Jian-Min Yuan, Philip Lazarus, Matthew B. Schabath, Melinda C. Aldrich, Rosalind A. Eeles, Christopher A. Haiman, Zsofia Kote-Jarai, Fredrick R. Schumacher, Sara Benlloch, Ali Amin Al Olama, Kenneth R. Muir, Sonja I. Berndt, David V. Conti, Fredrik Wiklund, Stephen Chanock, Ying Wang, Catherine M. Tangen, Jyotsna Batra, Judith A. Clements, Henrik Grönberg, Nora Pashayan, Johanna Schleutker, Demetrius Albanes, Stephanie J. Weinstein, Alicja Wolk, Catharine M.L. West, Lorelei A. Mucci, Géraldine Cancel-Tassin, Stella Koutros, Karina Dalsgaard Sørensen, Eli Marie Grindedal, David E. Neal, Freddie C. Hamdy, Jenny L. Donovan, Ruth C. Travis, Robert J. Hamilton, Sue Ann Ingles, Barry S. Rosenstein, Yong-Jie Lu, Graham G. Giles, Robert J. MacInnis, Adam S. Kibel, Ana Vega, Manolis Kogevinas, Kathryn L. Penney, Jong Y. Park, Janet L. Stanfrod, Cezary Cybulski, Børge G. Nordestgaard, Sune F. Nielsen, Hermann Brenner, Christiane Maier, Christopher J. Logothetis, Esther M. John, Manuel R. Teixeira, Susan L. Neuhausen, Kim De Ruyck, Azad Razack, Lisa F. Newcomb, Davor Lessel, Radka Kaneva, Nawaid Usmani, Frank Claessens, Paul A. Townsend, Jose Esteban Castelao, Monique J. Roobol, Florence Menegaux, Kay-Tee Khaw, Lisa Cannon-Albright, Hardev Pandha, Stephen N. Thibodeau, David J. Hunter, Peter Kraft, William J. Blot, Elio Riboli

    Published 2024-02-01
    “…A colocalisation posterior probability (PPH4) >70% was employed to indicate support for shared causal variants across inflammatory markers and cancer outcomes. …”
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    Article
  7. 707

    Internet of Things (IoT) in smart tourism: a literature review by Chowdhury Noushin Novera, Zobayer Ahmed, Rafsanjany Kushol, Peter Wanke, Md. Abul Kalam Azad

    Published 2022-12-01
    “…With the use of log-likelihood, the findings from text mining identified nine theme models on the basis of relevancy, which is presented alongside an overview of the existing papers and a list of the primary authors with posterior probability using latent Dirichlet allocation. …”
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    Article
  8. 708

    Assessing the Risk of <i>APOE</i>-<i>ϵ</i>4 on Alzheimer’s Disease Using Bayesian Additive Regression Trees by Yifan Xia, Baosheng Liang

    Published 2023-07-01
    “…Furthermore, 79.26% of carriers exhibited a posterior probability of disease risk greater than 0.5. In conclusion, no significant causal effect of the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>A</mi><mi>P</mi><mi>O</mi><mi>E</mi></mrow></semantics></math></inline-formula>-<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>ϵ</mi><mn>4</mn></mrow></semantics></math></inline-formula> gene on AD was observed at the population level, but strong evidence of AD risk was identified in a sub-group of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>A</mi><mi>P</mi><mi>O</mi><mi>E</mi></mrow></semantics></math></inline-formula>-<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>ϵ</mi><mn>4</mn></mrow></semantics></math></inline-formula> carriers.…”
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    Article