Дисертації з теми "Biometry; Breeding – Statistical methods"
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Thompson, Robin. "Statistical methods and applications to animal breeding." Thesis, University of Edinburgh, 1987. http://hdl.handle.net/1842/30836.
Повний текст джерелаBatidzirai, Jesca Mercy. "Randomization in a two armed clinical trial: an overview of different randomization techniques." Thesis, University of Fort Hare, 2011. http://hdl.handle.net/10353/395.
Повний текст джерелаWong, Chun-mei May, and 王春美. "Multilevel models for survival analysis in dental research." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B3637216X.
Повний текст джерела李友榮 and Yau-wing Lee. "Modelling multivariate survival data using semiparametric models." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B4257528X.
Повний текст джерелаLong, Yongxian, and 龙泳先. "Semiparametric analysis of interval censored survival data." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B45541152.
Повний текст джерелаYeatts, Sharon Dziuba. "Statistical Methods and Experimental Design for Inference Regarding Dose and/or Interaction Thresholds Along a Fixed-Ratio Ray." VCU Scholars Compass, 2006. http://hdl.handle.net/10156/1956.
Повний текст джерелаBuntaran, Harimurti [Verfasser], and Hans-Peter [Akademischer Betreuer] Piepho. "Statistical methods for analysis of multienvironment trials in plant breeding : accuracy and precision / Harimurti Buntaran ; Betreuer: Hans-Peter Piepho." Hohenheim : Kommunikations-, Informations- und Medienzentrum der Universität Hohenheim, 2021. http://nbn-resolving.de/urn:nbn:de:bsz:100-opus-19265.
Повний текст джерелаForster, Jeri E. "Varying-coefficient models for longitudinal data : piecewise-continuous, flexible, mixed-effects models and methods for analyzing data with nonignorable dropout /." Connect to full text via ProQuest. Limited to UCD Anschutz Medical Campus, 2006.
Знайти повний текст джерелаTypescript. Includes bibliographical references (leaves 72-75). Free to UCD Anschutz Medical Campus. Online version available via ProQuest Digital Dissertations;
Gates, Peter J. "Analyzing categorical traits in domestic animal data collected in the field /." Uppsala : Swedish Univ. of Agricultural Sciences (Sveriges lantbruksuniv.), 1999. http://epsilon.slu.se/avh/1999/91-576-5473-5.pdf.
Повний текст джерелаPook, Torsten [Verfasser], Henner [Akademischer Betreuer] Simianer, Henner [Gutachter] Simianer, Timothy Mathes [Gutachter] Beissinger, and Hans-Peter [Gutachter] Piepho. "Methods and software to enhance statistical analysis in large scale problems in breeding and quantitative genetics / Torsten Pook ; Gutachter: Henner Simianer, Timothy Mathes Beissinger, Hans-Peter Piepho ; Betreuer: Henner Simianer." Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2019. http://d-nb.info/1199608254/34.
Повний текст джерелаGirabent, i. Farrés Montserrat. "Aplicació dels models de Thrustone i de Bradely-Terry a l’anàlisi de dades “ranking” obtingudes de mesures de preferència en escala ipsativa." Doctoral thesis, Universitat de Barcelona, 2013. http://hdl.handle.net/10803/277566.
Повний текст джерелаThe research focus on measuring individual preferences when people are asked to sort a list of options, thus obtaining data ranking. This determines that the subject is forced to establish an order between their preferences, resulting in what is known as ordinal Ipsative measurement scale.The advantage of this type of measure over the normative measurement scale such as Likert, which reduces the likelihood of problems known as "acquiescence bias" and removed the effect "halo and horn". However, they statistical analysis is difficult because the vector-response sums always a constant.The objectives were to review the statistical models to analyze the preferences measured in Ipsative scale, to give information about the discriminating process and to extend these models when we had repeated measures and / or covariates.The law of comparative judgments (Thurstone, 1927) postulated that this process occurs in discriminatory psychological continuum. This continuum scale allows finding the distance between the options.The methodology evaluated based on two approaches. First, the working of Böckenholt group (1991-2006) based on classical models developed by Thurstone in 1931. They expressed the ranking data as differences in the latent variables underlying each of items for comparison. So imposing the Maydeu-Olivares (2005) restrictions on the covariance matrix, we obtain a special case of a structural equation model to estimate the means of the latent variables that correspond to the position each option in the continuous interval scale. While the answer depends on the Normality of the latent variables. In addition, the model not allows to have repeated measurements. The second approach is the work of the Dittrich group (1998-2012) based on Bradley-Terry model (1952), which assumes a binomial distribution of the pairs of comparison. Thus, the likelihood function expressed as a general log-linear model (LBTM). The extension we developed is from LBTM.The aim of first applied study was to known the learning style preferences of medical students. The purpose of the second study was assessed whether physiotherapy students' opinions about self-learning is different before and after perform them.Conclusions:• The difference between the approaches of Thurstone and Bradley-Terry lies in the likelihood function distribution.• The model BTM allows incorporate modifications to the application conditions that give rise the extensions incorporating covariates and consider repeated measures.
Studeny, Angelika C. "Quantifying biodiversity trends in time and space." Thesis, University of St Andrews, 2012. http://hdl.handle.net/10023/3414.
Повний текст джерелаPierce, Brian Thomas. "The influence of the environment on the volume growth, stem form and disease tolerance of Eucalyptus grandis clones in the summer rainfall areas of South Africa." Thesis, Stellenbosch : Stellenbosch University, 2000. http://hdl.handle.net/10019.1/51988.
Повний текст джерелаENGLISH ABSTRACT: A thesis undertaken to quantify genotype-by-environment interaction within Eucalyptus grandis clones growing in the eastern portion of South Africa. Thirty one sites were selected to represent the "traditional" E. grandis growing areas of South Africa. Eleven common macro- site variables and twelve common micro- site soil variables were recorded at each site. Twenty seven E. grandis clones and four E. grandis hybrid clones were then evaluated over these 31 sites. An incomplete latin square design was used to evaluate the 31 test clones, and five E. grandis controls were incorporated into the trial design to link the 31 sites. Volume production, stem form, stem defects and survival were assessed at two and five years, as well as the disease infestation of three stem cankers at five years. The analytical methods which were used to evaluate and quantify the GEl portion of the study are the analysis of variance (ANOV A), correlation analysis, and joint regression analysis (IRA) together with the analysis of co-variance (ACOV AR). The growth-site association for volume production, stem form and Endothia disease infestation were investigated using factor analysis (FA), and equations derived for the species and for the individual clones using a stepwise multiple regression approach. GEl, as evaluated through JRA, revealed that an increase in site productivity lead to a positive linear response in productivity on a clonal level, and that there was a diverging or fanning pattern among the regression lines of the clones. This tendency was also observed for both the stem form and the Endothia infestation. Hence, no significant changes in the rankings of the clones were found, and only relevant differences between the clones were found to change significantly. Juvenile-mature genetic correlations for volume production and the stem form showed moderate (rg = 0,66 and rg = 0,70) correlations between the two and the five year assessments. On a species level, rainfall was the main environmental factor responsible for volume production, while latitude was the main influence on stem form and Endothia infestation. On an individual clone basis, some micro-site soil factor interaction within the clones was found for the growth-site response models. Keywords: Eucalyptus grandis, genotype environment interaction, clones, site factors, growth-site response, ANOV A, ACOV AR, GEl, FA, JRA,
AFRIKAANSE OPSOMMING: 'n Studie is ondemeem om die genotipe-omgewingsinteraksie van Eucalyptus grandis klone, wat in die oostelike deel van Suid-Afrika groei, te kwantifiseer. Eenen- dertig groeiplekke is geselekteer om die "tradisionele" E. grandis groeiplekke in Suid-Afrika te verteenwoordig. Elf gemeenskaplike makro-groeiplek veranderlikes en twaalf gemeenskaplike mikro-groeiplek veranderlikes is by elk van die groei areas opgeteken. Sewe-en-twintig E. grandis klone en vier E. grandis basterklone is daama oor hierdie 31 groeiplekke geevalueer. 'n Onvolledige Latynse roosterontwerp is gebruik om die 31 toetsklone te evalueer en vyf kontroles is gebruik om die groeiplekke gemeenskaplik te verbind. Volume produksie, stamvorm, stamdefekte en oorlewing is op twee- en vyfjarige ouderdomme geevalueer terwyl besmetting met drie stamkankers op vyf jaar beoordeel is. Die analitiese metodes wat gebruik was om genotipeomgewingsinteraksie te evalueer en te kwantifiseer is die variansie analise (ANOYA), korrelasie analise, en gesamentlike regressie analise (JRA) tesame met ko-variansie analise (ACOY AR). Die groeiplek assosiasie vir volume produksie, stamvorm en Endothia besmetting is ondersoek deur gebruik te maak van faktor analise (FA), en vergelykings is verkry vir die spesies en individuele klone deur gebruik van 'n stapsgewyse meervoudige regressie benadering. Genotipe-omgewingsinteraksie, soos geevalueer deur JRA, wys dat 'n toename in groeiplek produktiwiteit lei tot 'n positiewe lineere reaksie in produktiwiteit op klonale vlak en dat daar 'n divergerende patroon tussen die regressielyne van die klone is. Hierdie tendens is ook vir beide die stamvorm en Endothia besmetting waargeneem. Gevolglik is nie-beduidende veranderings in die rangorde van die klone gevind en slegs reletiewe verskille tussen klone is gevind. Onvolwasse-volwasse genetiese korrelasies vir volume produksie en stamvorm toon matige korrelasies (rg =0.66 en rg =0.70) tussen die twee- en vyfjaar metings. Op 'n spesiesvlak was reenval die oorheersende omgewingsfaktor verantwoordelik vir volume produksie terwyl die breedtegraad ligging stamvorm en Endothia besmetting bemvloed het. Op individuele kloonvlak het sommige mikro-groeiplek interaksie binne klone bygedra tot die groei en groeiplek reaksie modelle. Sleutelwoorde: Eucalyptus grandis, Genotipe-omgewingsinteraksie, klone, groeiplek faktore, groeiplek reaksie, ANOY A, ACOY AR, FA, JRA
Wang, Ya. "Statistical Methods for Epigenetic Data." Thesis, 2019. https://doi.org/10.7916/d8-9z87-ts07.
Повний текст джерелаQiu, Xin. "Statistical Learning Methods for Personalized Medicine." Thesis, 2018. https://doi.org/10.7916/D85X3SCG.
Повний текст джерелаXie, Shanghong. "Statistical Methods for Constructing Heterogeneous Biomarker Networks." Thesis, 2019. https://doi.org/10.7916/d8-5tzf-0747.
Повний текст джерелаSun, Ming. "Statistical Methods for Modeling Biomarkers of Neuropsychiatric Diseases." Thesis, 2018. https://doi.org/10.7916/D8GJ11VW.
Повний текст джерелаLee, Annie Jehe. "Statistical Methods for Genetic Studies with Family History of Diseases." Thesis, 2019. https://doi.org/10.7916/d8-bshz-wf55.
Повний текст джерелаLiu, Ying. "Statistical Learning Methods for Personalized Medical Decision Making." Thesis, 2016. https://doi.org/10.7916/D8HH6K22.
Повний текст джерелаZabor, Emily Craig. "Statistical methods for the study of etiologic heterogeneity." Thesis, 2019. https://doi.org/10.7916/d8-22xy-kf52.
Повний текст джерелаChen, Tianle. "Statistical modeling and statistical learning for disease prediction and classification." Thesis, 2014. https://doi.org/10.7916/D8222RX9.
Повний текст джерелаChen, Yuan. "Statistical and Machine Learning Methods for Precision Medicine." Thesis, 2021. https://doi.org/10.7916/d8-j4tw-wa07.
Повний текст джерелаGabaitiri, Lesego. "Likelihood based statistical methods for estimating HIV incidence rate." Thesis, 2013. http://hdl.handle.net/10413/9212.
Повний текст джерелаTheses (Ph.D.)-University of KwaZulu-Natal, Pietermaritzburg, 2013.
Drill, Esther. "Statistical Methods for Integrated Cancer Genomic Data Using a Joint Latent Variable Model." Thesis, 2018. https://doi.org/10.7916/D85M7P7V.
Повний текст джерелаWang, Qinxia. "Statistical Methods for Modeling Progression and Learning Mechanisms of Neuropsychiatric Disorders." Thesis, 2021. https://doi.org/10.7916/d8-cngh-ty69.
Повний текст джерела"Clustering Algorithm for Zero-Inflated Data." Thesis, 2020. https://doi.org/10.7916/d8-kze1-fr94.
Повний текст джерелаGibson, Elizabeth Atkeson. "Statistical and Machine Learning Methods for Pattern Identification in Environmental Mixtures." Thesis, 2021. https://doi.org/10.7916/d8-tnfc-et36.
Повний текст джерелаPook, Torsten. "Methods and software to enhance statistical analysis in large scale problems in breeding and quantitative genetics." Doctoral thesis, 2019. http://hdl.handle.net/21.11130/00-1735-0000-0005-129C-7.
Повний текст джерелаHan, Baoguang. "Statistical analysis of clinical trial data using Monte Carlo methods." Thesis, 2014. http://hdl.handle.net/1805/4650.
Повний текст джерелаIn medical research, data analysis often requires complex statistical methods where no closed-form solutions are available. Under such circumstances, Monte Carlo (MC) methods have found many applications. In this dissertation, we proposed several novel statistical models where MC methods are utilized. For the first part, we focused on semicompeting risks data in which a non-terminal event was subject to dependent censoring by a terminal event. Based on an illness-death multistate survival model, we proposed flexible random effects models. Further, we extended our model to the setting of joint modeling where both semicompeting risks data and repeated marker data are simultaneously analyzed. Since the proposed methods involve high-dimensional integrations, Bayesian Monte Carlo Markov Chain (MCMC) methods were utilized for estimation. The use of Bayesian methods also facilitates the prediction of individual patient outcomes. The proposed methods were demonstrated in both simulation and case studies. For the second part, we focused on re-randomization test, which is a nonparametric method that makes inferences solely based on the randomization procedure used in clinical trials. With this type of inference, Monte Carlo method is often used for generating null distributions on the treatment difference. However, an issue was recently discovered when subjects in a clinical trial were randomized with unbalanced treatment allocation to two treatments according to the minimization algorithm, a randomization procedure frequently used in practice. The null distribution of the re-randomization test statistics was found not to be centered at zero, which comprised power of the test. In this dissertation, we investigated the property of the re-randomization test and proposed a weighted re-randomization method to overcome this issue. The proposed method was demonstrated through extensive simulation studies.
Yu, Gary. "Identifying Patterns in Behavioral Public Health Data Using Mixture Modeling with an Informative Number of Repeated Measures." Thesis, 2014. https://doi.org/10.7916/D8F197VX.
Повний текст джерелаSantika, Truly. "The assessment of factors affecting species distribution model inference and prediction using simulated data." Phd thesis, 2010. http://hdl.handle.net/1885/150462.
Повний текст джерелаIddrisu, Abdul-Karim. "Bayesian hierarchical spatial and spatio-temporal modeling and mapping of tuberculosis in Kenya." Thesis, 2013. http://hdl.handle.net/10413/10279.
Повний текст джерелаThesis (M.Sc.)-University of KwaZulu-Natal, Pietermaritzburg, 2013.
Dail, David (David Andrew). "Conditioning of unobserved period-specific abundances to improve estimation of dynamic populations." Thesis, 2012. http://hdl.handle.net/1957/28224.
Повний текст джерелаGraduation date: 2012
Sarwat, Samiha. "Penalized spline modeling of the ex-vivo assays dose-response curves and the HIV-infected patients' bodyweight change." 2015. http://hdl.handle.net/1805/8010.
Повний текст джерелаA semi-parametric approach incorporates parametric and nonparametric functions in the model and is very useful in situations when a fully parametric model is inadequate. The objective of this dissertation is to extend statistical methodology employing the semi-parametric modeling approach to analyze data in health science research areas. This dissertation has three parts. The first part discusses the modeling of the dose-response relationship with correlated data by introducing overall drug effects in addition to the deviation of each subject-specific curve from the population average. Here, a penalized spline regression method that allows modeling of the smooth dose-response relationship is applied to data in studies monitoring malaria drug resistance through the ex-vivo assays.The second part of the dissertation extends the SiZer map, which is an exploratory and a powerful visualization tool, to detect underlying significant features (increase, decrease, or no change) of the curve at various smoothing levels. Here, Penalized Spline Significant Zero Crossings of Derivatives (PS-SiZer), using a penalized spline regression, is introduced to investigate significant features in correlated data arising from longitudinal settings. The third part of the dissertation applies the proposed PS-SiZer methodology to analyze HIV data. The durability of significant weight change over a period is explored from the PS-SiZer visualization. PS-SiZer is a graphical tool for exploring structures in curves by mapping areas where rate of change is significantly increasing, decreasing, or does not change. PS-SiZer maps provide information about the significant rate of weigh change that occurs in two ART regimens at various level of smoothing. A penalized spline regression model at an optimum smoothing level is applied to obtain an estimated first-time point where weight no longer increases for different treatment regimens.
"Bootstrap distribution for testing a change in the cox proportional hazard model." 2000. http://library.cuhk.edu.hk/record=b5890302.
Повний текст джерелаThesis (M.Phil.)--Chinese University of Hong Kong, 2000.
Includes bibliographical references (leaves 41-43).
Abstracts in English and Chinese.
Chapter 1 --- Basic Concepts --- p.9
Chapter 1.1 --- Survival data --- p.9
Chapter 1.1.1 --- An example --- p.9
Chapter 1.2 --- Some important functions --- p.11
Chapter 1.2.1 --- Survival function --- p.12
Chapter 1.2.2 --- Hazard function --- p.12
Chapter 1.3 --- Cox Proportional Hazards Model --- p.13
Chapter 1.3.1 --- A special case --- p.14
Chapter 1.3.2 --- An example (continued) --- p.15
Chapter 1.4 --- Extension of the Cox Proportional Hazards Model --- p.16
Chapter 1.5 --- Bootstrap --- p.17
Chapter 2 --- A New Method --- p.19
Chapter 2.1 --- Introduction --- p.19
Chapter 2.2 --- Definition of the test --- p.20
Chapter 2.2.1 --- Our test statistic --- p.20
Chapter 2.2.2 --- The alternative test statistic I --- p.22
Chapter 2.2.3 --- The alternative test statistic II --- p.23
Chapter 2.3 --- Variations of the test --- p.24
Chapter 2.3.1 --- Restricted test --- p.24
Chapter 2.3.2 --- Adjusting for other covariates --- p.26
Chapter 2.4 --- Apply with bootstrap --- p.28
Chapter 2.5 --- Examples --- p.29
Chapter 2.5.1 --- Male mice data --- p.34
Chapter 2.5.2 --- Stanford heart transplant data --- p.34
Chapter 2.5.3 --- CGD data --- p.34
Chapter 3 --- Large Sample Properties and Discussions --- p.35
Chapter 3.1 --- Large sample properties and relationship to goodness of fit test --- p.35
Chapter 3.1.1 --- Large sample properties of A and Ap --- p.35
Chapter 3.1.2 --- Large sample properties of Ac and A --- p.36
Chapter 3.2 --- Discussions --- p.37
"Optimising aspects of a soybean breeding programme." Thesis, 2008. http://hdl.handle.net/10413/738.
Повний текст джерелаYang, Lili. "Joint models for longitudinal and survival data." Thesis, 2014. http://hdl.handle.net/1805/4666.
Повний текст джерелаEpidemiologic and clinical studies routinely collect longitudinal measures of multiple outcomes. These longitudinal outcomes can be used to establish the temporal order of relevant biological processes and their association with the onset of clinical symptoms. In the first part of this thesis, we proposed to use bivariate change point models for two longitudinal outcomes with a focus on estimating the correlation between the two change points. We adopted a Bayesian approach for parameter estimation and inference. In the second part, we considered the situation when time-to-event outcome is also collected along with multiple longitudinal biomarkers measured until the occurrence of the event or censoring. Joint models for longitudinal and time-to-event data can be used to estimate the association between the characteristics of the longitudinal measures over time and survival time. We developed a maximum-likelihood method to joint model multiple longitudinal biomarkers and a time-to-event outcome. In addition, we focused on predicting conditional survival probabilities and evaluating the predictive accuracy of multiple longitudinal biomarkers in the joint modeling framework. We assessed the performance of the proposed methods in simulation studies and applied the new methods to data sets from two cohort studies.
National Institutes of Health (NIH) Grants R01 AG019181, R24 MH080827, P30 AG10133, R01 AG09956.
Leoce, Nicole Marie. "Prognostic Modeling in the Presence of Competing Risks: an Application to Cardiovascular and Cancer Mortality in Breast Cancer Survivors." Thesis, 2016. https://doi.org/10.7916/D89S1R41.
Повний текст джерелаCho, Sylvia. "Data Quality Assessment for the Secondary Use of Person-Generated Wearable Device Data: Assessing Self-Tracking Data for Research Purposes." Thesis, 2021. https://doi.org/10.7916/d8-jcmb-gw93.
Повний текст джерелаЛось, Сергій Леонідович. "Алгоритмізація процесу обробки результатів емпіричного дослідження біологічних процесів методами математичної статистики". Магістерська робота, 2020. https://dspace.znu.edu.ua/jspui/handle/12345/5109.
Повний текст джерелаUA : Робота викладена на 58 сторінках друкованого тексту, містить 13 рисунків, 9 таблиць, 26 джерел. Об’єкт дослідження – біологічні процеси. Предмет дослідження: математичне моделювання та оптимізація біологічних процесів методами математичної статистики. Метод дослідження – аналітичний. Мета роботи: Дослідити в біологічних процесах живі організми в взаємодії з комплексом різних факторів зовнішнього середовища. Розглянути питання про відповідність нормального розподілу ймовірності. Перевірити відповідність отриманих даних нормальному закону розподілу. За даними температур знайти основні статистичні характеристики. Розрахувати імовірності характеристики погоди. У роботі розглядаються основні поняття та характеристики математичної статистики, медико-біологічні дослідження та їх статистична обробка, проводиться збір даних та підрахунок основних статистичних характеристик, обробка отриманих результатів та прогнозування подальшої метеорологічної ситуації.
EN : The work is presented on 58 pages of printed text, 13 figures, 9 tables, 26 references. Object of the study – biological processes. Method of research – analytical. Aim of the study: To study living organisms in biological processes in interaction with a complex of various environmental factors. Consider the correspondence of the normal probability distribution. Check the compliance of the obtained data with the normal distribution law. According to the temperature find the main statistical characteristics. The paper considers the basic concepts and characteristics of mathematical statistics, medical and biological research and their statistical processing, data collection and calculation of basic statistical characteristics, processing of the results and forecasting the future meteorological situation.
Li, Zhuokai. "Multivariate semiparametric regression models for longitudinal data." Thesis, 2014. http://hdl.handle.net/1805/6462.
Повний текст джерелаReger, Michael Kent. "Dietary intake and urinary excretion of phytoestrogens in relation to cancer and cardiovascular disease." Thesis, 2014. http://hdl.handle.net/1805/6053.
Повний текст джерелаPhytoestrogens that abound in soy products, legumes, and chickpeas can induce biologic responses in animals and humans due to structural similarity to 17β-estradiol. Although experimental studies suggest that phytoestrogen intake may alter the risk of cancer and cardiovascular disease, few epidemiologic studies have investigated this research question. This dissertation investigated the associations of intake of total and individual phytoestrogens and their urinary biomarkers with these chronic conditions using data previously collected from two US national cohort studies (NHANES and PLCO). Utilizing NHANES data with urinary phytoestrogen concentrations and follow-up mortality, Cox proportional hazards regression (HR; 95% CI) were performed to evaluate the association between total cancer, cardiovascular disease, and all-cause mortality and urinary phytoestrogens. After adjustment for confounders, it was found that higher concentrations of lignans were associated with a reduced risk of death from cardiovascular disease (0.48; 0.24-0.97), whereas higher concentrations of isoflavones (2.14; 1.03-4.47) and daidzein (2.05; 1.02-4.11) were associated with an increased risk. A reduction in all-cause mortality was observed for elevated concentrations of lignans (0.65; 0.43-0.96) and enterolactone (0.65; 0.44-0.97). Utilizing PLCO data and dietary phytoestrogens, Cox proportional hazards regression examined the associations between dietary phytoestrogens and the risk of prostate cancer incidence. After adjustment for confounders, a positive association was found between dietary intake of isoflavones (1.58; 1.11-2.24), genistein (1.42; 1.02-1.98), daidzein (1.62; 1.13-2.32), and glycitein (1.53; 1.09-2.15) and the risk of advanced prostate cancer. Conversely, an inverse association existed between dietary intake of genistein and the risk of non-advanced prostate cancer (0.88; 0.78-0.99) and total prostate cancer (0.90; 0.81-1.00). C-reactive protein (CRP) concentration levels rise in response to inflammation and higher levels are a risk factor for some cancers and cardiovascular disease reported in epidemiologic studies. Logistic regression performed on NHANES data evaluated the association between CRP and urinary phytoestrogen concentrations. Higher concentrations of total and individual phytoestrogens were associated with lower concentrations of CRP. In summary, dietary intake of some phytoestrogens significantly modulates prostate cancer risk and cardiovascular disease mortality. It is possible that these associations may be in part mediated through the influence of phytoestrogen intake on circulating levels of C-reactive protein.