Academic literature on the topic 'Statistics and Biostatistics'

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Journal articles on the topic "Statistics and Biostatistics"

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Cornell, Richard G., Ian B. MacNeill, and Gary J. Umphrey. "Biostatistics." Journal of the American Statistical Association 83, no. 402 (1988): 578. http://dx.doi.org/10.2307/2288904.

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Kishore, Kamal, and Vidushi Jaswal. "Statistics Corner: Fundamental of Biostatistics." Journal of Postgraduate Medicine, Education and Research 55, no. 3 (2021): 149–51. http://dx.doi.org/10.5005/jp-journals-10028-1449.

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MTW, Donald A. Berry, and Dalene K. Stangl. "Bayesian Biostatistics." Journal of the American Statistical Association 91, no. 436 (1996): 1754. http://dx.doi.org/10.2307/2291615.

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Zalkikar, Jyoti. "Medical Biostatistics." Journal of the American Statistical Association 97, no. 458 (2002): 650–51. http://dx.doi.org/10.1198/jasa.2002.s469.

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Penenberg, Darryl Neil. "Medical Biostatistics." Journal of the Royal Statistical Society: Series D (The Statistician) 52, no. 3 (2003): 412. http://dx.doi.org/10.1111/1467-9884.00369_15.

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Herson, Jay. "Biostatistics 2089." American Statistician 44, no. 2 (1990): 136. http://dx.doi.org/10.2307/2684153.

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Heller, Gillian Z., Andrew B. Forbes, Keith B. G. Dear, and Erica Jobling. "Biostatistics @ Distance." American Statistician 62, no. 4 (2008): 321–28. http://dx.doi.org/10.1198/000313008x368251.

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Huiyu, Zhang, and Linda Fang. "Gamifying Project-Based Learning in Statistics Education in Singapore." International Journal of Designs for Learning 12, no. 2 (2021): 15–26. http://dx.doi.org/10.14434/ijdl.v12i2.27036.

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Biostatistics is a second-year subject taken by Biomedical Engineering Diploma students in Temasek Polytechnic, Singapore. Gamification elements, referenced from the popular Pokémon GO, were infused into a suite of activities. The purpose was to engage and sustain the interest of students while facilitating the successful execution of their group project. The gamified initiative, named Biostatistics GO, generated much excitement and added depth to the learning of this project-based subject. In this paper, we present the design of Biostatistics GO by highlighting the key design principles, desc
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Chakrabarty, Dhritikesh. "Association of statistics with biostatistics Research." Biometrics & Biostatistics International Journal 8, no. 4 (2019): 104–9. http://dx.doi.org/10.15406/bbij.2019.08.00279.

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Ziegel, Eric R., L. Fisher, and G. van Belle. "Biostatistics." Technometrics 36, no. 2 (1994): 231. http://dx.doi.org/10.2307/1270259.

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Dissertations / Theses on the topic "Statistics and Biostatistics"

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Li, Yin. "Application of logistic regression in biostatistics." Thesis, McGill University, 1993. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=68201.

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The primary objective of this paper is a focused introduction to the logistic regression model and its use in methods for modeling the relationship between a dichotomous outcome variable and a set of covariates. The approach we will take is to develop the model from a regression analysis point of view. Also in this paper, an estimator of the common odds ratio in one-to-one matched case-control studies is proposed. The connection between this estimator and the James-Stein estimating procedure is highlighted through the argument of estimating functions. Comparisons are made between this estimato
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Apitz, Juan Carlos. "A statistical method for selection, classification, and network construction in genetic systems." Thesis, California State University, Long Beach, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10127023.

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<p> From the combination of Mendelian Genetics and Biometrics in the early 1900s to the completion of the Human Genome Project in 2003, statistical analysis has played a key role in the advancement of genetics and genomic research. Although much progress has been achieved in these fields, singular cures to genetic disease such as cancer still elude us. </p><p> The purpose of this work is to formulate a statistical framework to aid the understand- ing of genetic expression as a complex system. The primary idea is that the complexity of genomic systems can be represented as a network and we us
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Han, Chenggong. "Statistical models and computational methods for studying DNA differential methylation and 3D genome structure." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1595417277891892.

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Qiu, Feiyou. "JOINT MODELING OF LONGITUDINAL DATA AND DISCRETE-TIME SURVIVAL OUTCOME WITH APPLICATION TO STUDYING TUBERCULOSIS IMMUNOLOGY DATA." Case Western Reserve University School of Graduate Studies / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=case1322846245.

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Bartley, Adam C. "Evaluating goodness-of-fit for a logistic regression model using the Hosmer-Lemeshow test on samples from a large data set." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1396951135.

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Zhang, Xueyi Zhang. "Enrichment of Heritability Across Several Hypertension Related Traits." Case Western Reserve University School of Graduate Studies / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=case152301297309475.

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Cheung, Li Chien. "Mixture models for left- and interval-censored data and concordance indices for composite survival outcomes." Thesis, The George Washington University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10259297.

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<p>For cost-effectiveness and efficiency, many large-scale general-purpose cohort studies are being assembled within health-care providers who use electronic health records. Two key features of such data are that incident disease is interval-censored between irregular visits and pre-existing (prevalent) disease is left-censored. Because prevalent disease is not always immediately diagnosed, some disease diagnosed at later visits are actually undiagnosed prevalent disease. I consider prevalent disease as a point mass at time zero for clinical applications where there is no interest in time of p
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Pesko, John Carl. "Contributions to Statistical Testing, Prediction, and Modeling." Thesis, The University of New Mexico, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10264281.

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<p> 1. "Parametric Bootstrap (PB) and Objective Bayesian (OB) Testing with Applications to Heteroscedastic ANOVA": For one-way heteroscedastic ANOVA, we show a close relationship between the PB and OB approaches to significance testing, demonstrating the conditions for which the two approaches are equivalent. Using a simulation study, PB and OB performance is compared to a test based on the predictive distribution as well as the unweighted test of Akritas &amp; Papadatos (2004). We extend this work to the RCBD with subsampling model, and prove a repeated sampling property and large sample prop
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Xie, Wen. "A Monte Carlo Simulation Study for Poly-k Test in Animal Carcinogenicity Studies." Thesis, California State University, Long Beach, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10638898.

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<p> An objective of animal carcinogenicity studies is to identify a tumorigenic potential in animals and to assess relevant risks in humans. Without using the cause-of-death information, the Cochran-Armitage test is applied for detecting a linear trend in the incidence of a tumor of interest across dose groups. The survival-adjusted Cochran&ndash;Armitage test, known as the Poly-<i>k</i> test, is investigated for the animals not at equal risk of tumor development by reflecting the shapes of the tumor onset distributions. In this thesis, we will validate Poly-<i>k</i> test through a Monte Carlo
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Wang, Wei. "Estimation Approaches of Sufficient Reduction under Kronecker Product Structure." Thesis, The George Washington University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10744337.

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<p> We propose methods to estimate linear combinations of several predictors that are measured repeatedly over time, that contain sufficient information for the regression of the predictors on the outcome. We assume that the first moments of the predictors can be decomposed into a time and a marker component via a Kronecker product structure that accommodates the longitudinal nature of the predictors. We then extend least squares and model-based sufficient dimension reduction techniques to accommodate this setting. We derive some analytic properties, and we compare the performance of the vario
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Books on the topic "Statistics and Biostatistics"

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Indrayan, Abhaya. Medical biostatistics. 2nd ed. Chapman & Hall/CRC, 2008.

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Indrayan, Abhaya. Medical biostatistics. Marcel Dekker, 2000.

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Primer of biostatistics. 2nd ed. McGraw-Hill, 1987.

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Glantz, Stanton A. Primer of biostatistics. 3rd ed. McGraw-Hill, 1992.

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Glantz, Stanton A. Primer of biostatistics. 3rd ed. McGraw Hill, 1992.

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Primer of biostatistics. 4th ed. McGraw-Hill, Health Professions Division, 1997.

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M, Linardakis Nikos, ed. Biostatistics and epidemiology. McGraw-Hill, Health Professions Division, 1998.

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High-yield biostatistics. 3rd ed. Lippincott Williams & Wilkins, 2005.

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Fundamentals of biostatistics. 3rd ed. PWS-KENT, 1990.

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Fundamentals of biostatistics. 5th ed. Duxbury, 2000.

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Book chapters on the topic "Statistics and Biostatistics"

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Mosteller, Frederick. "Biostatistics." In The Pleasures of Statistics. Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-77956-0_20.

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Nick, Todd G. "Descriptive Statistics." In Topics in Biostatistics. Humana Press, 2007. http://dx.doi.org/10.1007/978-1-59745-530-5_3.

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Wassertheil-Smoller, Sylvia. "Mostly about Statistics." In Biostatistics and Epidemiology. Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4757-2424-0_3.

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Wassertheil-Smoller, Sylvia. "Mostly about Statistics." In Biostatistics and Epidemiology. Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4757-3887-2_3.

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Islam, M. Ataharul, and Abdullah Al-Shiha. "Basic Summary Statistics." In Foundations of Biostatistics. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8627-4_2.

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Wassertheil-Smoller, Sylvia, and Jordan Smoller. "Mostly About Statistics." In Biostatistics and Epidemiology. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-2134-8_3.

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Kestenbaum, Bryan. "Summary Measures in Statistics." In Epidemiology and Biostatistics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96644-1_13.

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Kestenbaum, Bryan. "Summary Measures in Statistics." In Epidemiology and Biostatistics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97433-0_12.

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Wassertheil-Smoller, Sylvia, and Jordan Smoller. "Research Ethics and Statistics." In Biostatistics and Epidemiology. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-2134-8_10.

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Kramer, Michael S. "Introduction to Statistics." In Clinical Epidemiology and Biostatistics. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-61372-2_10.

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Conference papers on the topic "Statistics and Biostatistics"

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Guzelant, G., E. Dincses, G. Hatemi, and H. Yazici. "AB1387 Acknowledged biostatistical help and the quality of statistical analyses in randomised controlled trials in rheumatology." In Annual European Congress of Rheumatology, EULAR 2018, Amsterdam, 13–16 June 2018. BMJ Publishing Group Ltd and European League Against Rheumatism, 2018. http://dx.doi.org/10.1136/annrheumdis-2018-eular.6561.

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